General Conference Information 2009 JSM Program Committee

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General Conference Information 2009 JSM Program Committee...... 1 Keynote Speakers...... 5 Hotel/Hostel Listing...... 6 Convention Center Floor Plans...... 7 Hotel Floor Plans...... 10 What You Need to Know...... 11 Career Placement Service...... 13 EXPO 2009 Floor Plan...... 14 Who’s Who at EXPO 2009...... 15 Continuing Education at a Glance...... 21 Technical Sessions...... 23

General Program Thursday, July 30...... 33 Friday, July 31...... 33 Saturday, August 1...... 34 Sunday, August 2...... 35 Monday, August 3...... 65 Tuesday, August 4...... 121 Wednesday, August 5...... 177 Thursday, August 6...... 225

Association Contacts ASA...... 282 ENAR...... 282 WNAR...... 283 IMS...... 283 SSC...... 283 ICSA...... 284 IISA...... 284

Indexes Index of Participants...... 250 Index of Advertisers...... 281 The 20th Annual GERTRUDE COX SCHOLARSHIP RACE 5k Race and 2.5k Fun Run/Walk at JSM 2009, Washington, DC

The Caucus for Women in Statistics, in conjunction with the ASA, presents the 20th annual Gertrude Cox Scholarship Race at the Joint Statistical Meetings 2009 in Washington, DC. All proceeds will beneﬁt the Gertrude M. Cox Scholarship in Statistics. This year, the race will be sponsored by RTI International.

The Race: Competitive 5k race and a 2.5k fun run/walk, running concurrently When: Tuesday, August 4, time to be announced (to start and ﬁnish before 8:30 a.m.) Where: Location and logistical information will be posted at e Caucus for Women in Statistics web site as it becomes available (www.caucusforwomeninstatistics.com) and at e Caucus for Women in Statistics hospitality table at the convention center during JSM 2009 How Much: e entry fee is $30.00 Registration ose interested in participating are encouraged to register early by mail, but Procedure: may also register during JSM at the hospitality table for the Caucus for Women in Statistics at the Convention Center, near the registration area. All participants must sign a registration form and waiver. T-shirts for all pre-registered runners will be distributed at the hospitality table.

REGISTRATION FORM (each participant must complete and sign)

______Name

______Address City

______State/Province ZIP/Postal Code Phone

Required for placement and timing in the 5k race: SEX: ❏ M ❏ F Age ______EVENT: ❏ 5 k Race ❏ 2.5 k Fun Run/Walk T- SHIRT SIZE: ❏ S ❏ M ❏ L ❏ XL

THE FINE PRINT: I understand that running a road race is a potentially hazardous activity. I will not enter and run unless I am medically able and properly trained. I agree to abide by any decision of a race ofﬁcial relative to my ability to complete the run safely. I assume all risks associated with running in this event, including, but not limited to, falls; contact with other participants; and effects of weather, trafﬁc, and course conditions. All such risks are known and appreciated by me. Having read this waiver, knowing these facts, and in consideration of your accepting my entry, I, for myself and anyone entitled to act on my behalf, waive and release the race directors, the race committee, and all sponsors from all claims of liabilities of any kind arising out of my participation in this event, even though such liability may arise as a result of negligence or carelessness on the part of the persons named in this waiver.

______Signature Date

______Parent or guardian (if under 18)

Make check payable to The Gertrude Cox Scholarship Fund and mail with registration to: We regret to inform that we will not be able to accept registrations online this year. For questions, contact: Anna Nevius, Treasurer Marcia A. Ciol ([email protected]) or 7732 Rydal Terrace Anna Nevius ([email protected]) Rockville, MD 20855-2057 2009 JSM ProgramCommittee Committee

Local Area Committee Darryl V. Creel, Chair RTI International Nancy Clusen 2009 JSM Program International Biometric International Biometric Institute of Mathematical Institute of Mathematical Mathematica Policy Research Chair, ASA Society (ENAR) Society (WNAR) Statistics (Invited) Statistics (Invited) Wendy L. Martinez Lloyd Edwards Daniel L. Gillen Michael Kosorok Xiaotong Shen Christopher Cummiskey U.S. Department of Defense The University of University of California, Irvine The University of North University of Minnesota North Carolina Carolina at Chapel Hill RTI International Christopher Moriarty National Center for Health Statistics Lily Trofimovich General Dynamics Information Technology Y. Michael Yang Institute of Mathematical Statistical Society of Canada International Chinese International Indian Council of Chapters, ASA ICF International Statistics (Contributed) (SSC) Statistical Association Statistical Association Gary Gadbury Elizaveta Levina Peter X. Song Xuming He Bhramar Mukherjee Kansas State University University of Michigan University of Waterloo University of Illinois at University of Michigan Urbana-Champaign Advisory Committee on Continuing Education Xiaoming Sheng, Chair University of Utah Katherine T. Halvorsen Smith College General Methodology, ASA General Methodology, ASA Committee on Committees, Invited and Section on Bayesian Anna B. Nevius Mayetri Gupta ASA Contributed Posters Statistics, ASA Joseph M. Hilbe U.S. Food and Drug Boston University School Patrick Cantwell Lara Schmidt Mike Daniels Administration of Public Health U.S. Census Bureau RAND Corporation University of Florida Arizona State University

Gordon J. Johnston SAS Institute, Inc. Young K. Kim DP Clinical Eileen C. King Biometrics Section, ASA Biopharmaceutical Section, Business & Economic Statistical Computing Section on Statistical Procter & Gamble Wensheng Guo ASA Statistics Section, ASA Section, ASA Consulting, ASA University of Pennsylvania Matilde Sanchez Barbara Rossi Robert McCulloch Stephan Ogenstad Ronald E. McRoberts Arena Pharmaceuticals, Inc. Duke University The University of Statogen Consulting Texas at Austin U.S. Forest Service, North Central

Research Station Scott D. Patterson Wyeth Charles Yun Tan Merck & Co., Inc. Section on Statistics in Section on Statistical Section on Statistics and the Section on Epidemiology, Section on Government Defense and National Education, ASA Environment, ASA ASA Statistics, ASA Security, ASA Peter Westfall Petrutza C. Caragea Amy H. Herring Sunghee Lee Myron J. Katzoff Texas Tech University Iowa State University The University of North University of California, ASA Continuing Education National Center for Carolina at Chapel Hill Los Angeles Health Statistics Rick Peterson Education Programs Associate

ASA Meetings Kathleen Wert Director of Meetings Section on Statistical Section on Health Policy Section on Statistics in Section on Nonparametric Graphics, ASA Statistics, ASA Marketing, ASA Statistics, ASA Steven N. MacEachern Mary E. Landrum Michael Braun Simon Sheather Donna-Renee Arrington The Ohio State University Harvard Medical School MIT Sloan School of Texas A&M University Management Meetings Planner

Fay Gallagher Meetings Planner

American Statistical Association 732 North Washington Street Section on Physical & Section on Quality & Section on Risk Analysis, Social Statistics Section, ASA Alexandria, VA 22314-1943 Engineering Sciences, ASA Productivity, ASA ASA Kathleen S. O’Connor [email protected] Jeffery J. Luner Donald W. McCormack Jr. Bertrand S. Clarke Centers for Disease Control Boeing SAS Institute, Inc. The University of and Prevention www.amstat.org British Columbia

Section on Statistics in Section on Survey Research Section on Teaching of Sports, ASA Methods, ASA Statistics in the Health Matthew S. Johnson Elaine Zanutto Sciences, ASA Baruch College National Analysts Worldwide Carol Bigelow Research and Consulting University of Massachusetts Seeking a CAREER in Washington, DC STATISTICS? August 1–6

Are you nearing graduation and wondering about entry-level jobs? Are you an experienced statistics professional interested in career information? Register for the JSM Career Placement Service

What can the Career Placement Service do for you? Each year, more than 120 companies, universities, recruiters, and government agencies search for applicants using the JSM Career Placement Service. The JSM Career Placement Service provides the best opportunity for qualified applicants to meet employers, establish valuable contacts, and learn about organizations employing statisticians.

Career Placement Service Benefits Applicant reading area—for applicants to review Computerized message center—allows complete job descriptions and contact information applicants and employers to communicate for all registered employers. throughout the meeting.

Visibility to employers—applicants who register by Online access to job postings—included with ALL July 16, 2009, will have their information and résumés Career Placement Service registrations. included in the advance applicant online database, available to employers prior to the meeting. Employers often contact applicants in the database prior to JSM to schedule interviews. www.amstat.org/meetings/jsm/2009/placement

Organizations Represented at Recent JSM Career Placement Services Capital One • FDA • DuPont • Eli Lilly and Company • ESPN Media Google • Novartis • West Point Speakers Seeking a CAREER in Keynote Speakers Rebecca M. Blank Peter Bühlmann President’s Invited Address IMS Medallion Lecture I “Measurement Matters: Why Good “Statistics for High-Dimensional Data: Statistics Are Important to Understanding Toward More Reliable Results” STATISTICS? the Well-Being of American Families” Sunday, August 2, 2:00 p.m. Monday, August 3, 4:00 p.m.

Nanny Wermuth Aad van der Vaart IMS Presidential Address Le Cam Lecture “On the Development of Insight: Some “Some Frequentist Results on Posterior Examples in the Statistical Sciences” Distributions on Infinite-Dimensional Monday, August 3, 8:00 p.m. Parameter Spaces” Sunday, August 2, 4:00 p.m.

J. Stuart Hunter George Casella Deming Lecture IMS Medallion Lecture II “Deming Today” “From R. A. Fisher to Microarrays: Why Tuesday, August 4, 4:00 p.m. 70-Year-Old Theory Is Relevant Today” Monday, August 3, 8:30 a.m.

Jerome H. Friedman Tony Cai Wald Lecture Series IMS Medallion Lecture III “Fast Sparse Regression and Classification” “Robust and Adaptive Methods for Tuesday, August 4, 4:00 p.m. Nonparametric Function Estimation” Monday, August 3, 10:30 a.m. “Decision Trees and Gradient Boosting” Wednesday, August 5, 10:30 a.m.

“Predictive Learning via Rule Ensembles” Alistair Sinclair Thursday, August 6, 10:30 a.m. IMS Medallion Lecture IV “Markov Chain Monte Carlo in Theoretical Computer Science” Sally C. Morton Tuesday, August 4, 8:30 a.m. ASA Presidential Address “Statistics: From Evidence to Policy” Tuesday, August 4, 8:00 p.m. Gábor Lugosi IMS Medallion Lecture V “Combinatorial Problems in Randomized Noel A.C. Cressie Sequential Prediction” Wednesday, August 5, 8:30 a.m. COPSS Fisher Lecture “When, Where, and Then Why” Wednesday, August 5, 4:00 p.m. Gareth Roberts IMS Medallion Lecture VI “Auxiliary Variables, Perfect Simulation, and Importance Sampling for the Statistical Analysis of Stochastic Processes” Wednesday, August 5, 2:00 p.m.

Washington, DC 5 HotelMaps Listing

Headquarter Hotel 1 Renaissance Washington, DC, Hotel (Headquarter Hotel) 999 Ninth Street, NW

Other Conference Hotels 2 Embassy Suites DC 7 Marriott at Metro Center 900 Tenth Street, NW 775 Twelfth Street, NW

3 Hampton Inn DC Convention Center 8 Hotel Monaco Washington, DC 901 Sixth Street, NW 700 F Street, NW

4 Four Points by Sheraton 9 Hilton Garden Inn Washington, DC, 1201 K Street, NW Downtown 815 Fourteenth Street, NW 5 Grand Hyatt Washington 1000 H Street, NW 10 Hostelling International-Washington, DC 1009 Eleventh Street, NW 6 Red Roof Inn-Downtown DC 500 H Street, NW

6 JSM 2009 ConventionPlans Center

Stairs Place Mount Mount Handicap Access Vernon

Restrooms

Concession

Key Escalator Starbucks Grand Lobby Service Area Tables place Committee Cyber Cyber Center East East Market- D & E

Up to Halls Halls to Up Registration Registration Open to Below 101 102A 102B Room Room Room

L L L Bus Bus Bus Bus Above Street Street Bridge Bridge Street Pickup Pickup Shuttle Shuttle

Street Pickup Pickup Shuttle Shuttle

for Tours for Tours Up to L Street Bridge Street L to Up 141 Room Room 140A 140B Room Room 156 142 142 Room Room Room 157 143A Room Room Room Room 143B 158A Room Room Room Room 143C Room Room 158B Room Room 144A 159A Room Room Room Room 144B 159B Room Room Room Room 9th Street 160 160 Room Room 144C Room Room 7th Street 148 153 149B 149A Room 154A 154B Room Room Room Room Room 155 Open to Below Room

S 150A 151A 152A 150B 151B 152B E W Room Room Room Room Room Room Ground Level

Washington, DC 7 ConventionPlans Center

Stairs Mount Vernon Place, Below 2nd Floor 2nd Floor Handicap Access Overlook Overlook East West Restrooms

Concession Open to Below

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Room Room Room Room Room Room 201 202A 202B 207B 207A 206 208A 203A Room Room Room Room 203B 208B Room Room Room

Level 2 204A 204B 209A 204C 209C 209B Room Room Room Room Room Room Room Room Room Room Room Room 205 210

L Street, L Street, Below Below L Street Bridge Hall D Entrance to to Entrance

Hall D - Career Placement & Exhibit Hall

Mount Vernon Place, Below

3rd Floor 3rd Floor East Ear West Ear Roundtables with Coffee & Lunch Ballroom South Prefunction

Open to Open to Below Below

Level 3

Room Room 301 304

Room Room 302 305

Room Ballroom B Ballroom A Room 303 306

E W

8 JSM 2009 2009 JSM ProgramConventionCommittee CommitteePlans Center

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1 2 3 4 5

Committee Tables 6

8 Registration 9

East Registration Cyber Center Committee and Luggage Postings SocietyStorage Tables (Wed. p.m. Marketplace and 1 Thur.ASA a.m.) Council of Sections 2 ASA Council of Chapters 3 Caucus for Women in Statistics 4 Gay and Lesbian Concerns in Statistics 5 Federal Committee on Statistical Methodology Committee and (FCSM) Society Tables 6 Christian Statisticians 1 ASA Council of Sections 7 International Indian Statistical Association 2 ASA Council of Chapters (IISA) 3 Caucus for Women 8 International Chinese in Statistics Statistical Association 4 Gay and Lesbian (ICSA) Concerns in Statistics 9 International Statistical 5 Federal Committee on Institute (ISI) Statistical Methodology 1010 Statistical Education (FCSM) 6 Christian Statisticians 7 International Indian Statistical Association (IISA) Washington, DC 9 8 International Chinese Statistical Association (ICSA) 9 International Statistical Institute (ISI) 10 Statistical Education HotelPlans Floor Plans

Stairs Handicap Access Renaissance Restrooms Washington, DC, Hotel 17 Concession

Key Escalator 7 8 9 6

10 11 5

4 12 3 13 Service Area

14 2

15 1 Meeting Room Level 16

Grand Renaissance Ballroom Ballroom Ballroom Level Renaissance Office West B South

East West A Central

C North B

Congressional Hall

10 JSM 2009 WhatInformation You Need to Know

CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Emergency Telephone Messages Recycling In case of emergency, messages may be left during registration Please use the paper, plastic, and aluminum trash containers locat- hours by calling (202) 249-4051. These will be posted at the Cyber ed throughout the Walter E. Washington Convention Center. Also, Center, located in the registration area. participating in the towel and linen programs at area hotels makes a significant difference in the amount of energy and water used. You also can change the option from print to not print or use the Convention Housing paper recycling containers available at the Cyber Center. Finally, place the JSM badges and badge holders in one of the designated Renaissance Washington, DC, Hotel (202) 898-9000 bins in the registration area. Embassy Suites DC (202) 739-2001 Hampton Inn DC Convention Center (202) 842-2500 JSM Proceedings Four Points by Sheraton (202) 289-7600 Eligibility guidelines and author instructions for JSM 2009 pre- senters are available at www.amstat.org/meetings/jsm/2009/ Grand Hyatt Washington (202) 582-1234 index.cfm?fuseaction=proceedings. Red Roof Inn-Downtown DC (202) 289-5959 Marriott at Metro Center (202) 737-2200 JSM 2010 Hotel Monaco Washington, DC (202) 628-7177 The 2010 Joint Statistical Meetings will be held in Vancouver, Hilton Garden Inn Washington, DC, British Columbia, Canada, from July 31 to August 5 at the (202) 783-7800 Downtown Vancouver Convention Center. Check out the details at Booth #606 in the exhibit hall. Hostelling International-Washington, DC (202) 737-2333 Plan Ahead! Passports now are required for travel between the United States and Canada. Passport processing times are unpre- dictable, so get your passport now. Assistance for Those with Disabilities Please contact a staff member at the Special Assistance Desk in the registration area of the Walter E. Washington Convention Membership Center if you have a disability that may impede your participation. Information about the ASA, ENAR, WNAR, IMS, SSC, ICSA, and IISA is available at the society booths in the registration area and exhibit hall. Each society provides a variety of pub- Child Care lications and activities to anyone interested in applied and or theoretical statistics, and student membership is offered at sub- Services may be organized through Family and Child Care, Inc. stantially reduced rates. With trained and bonded child-care providers, Family and Child Care, Inc., has served the Washington, DC, area for 32 years. For more information, call (202) 723-2051. The Caucus for Women in Statistics will provide a subsidy Hours of Operation toward four hours of babysitting per family for up to 10 Registration and ASA Membership/ families. If you are interested, contact Marcia Ciol at Special Assistance/Press Desk [email protected]. CC – East Registration JSM registration includes the Program Book and Abstract CD; access to the exhibit hall; and admission to the Opening Mixer, Policies Student Mixer (students only), and Informal Dance Party. Electronic Devices All cell phones, pagers, and other electronic devices should be turned off before attending any session or meeting. Saturday 7:30 a.m. – 6:00 p.m. Sunday 7:30 a.m. – 8:30 p.m. Smoking Smoking is not permitted at any JSM function, unless the event is Monday 7:30 a.m. – 6:00 p.m. held outside. Tuesday – Wednesday 7:30 a.m. – 4:30 p.m. Thursday 7:30 a.m. – 10:30 a.m. Photographs and Videotaping Taking photographs or using video equipment during any JSM session or event is prohibited.

Washington, DC 11 CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Speaker Management Room CC-154A Introductory Overview Lectures Speakers are asked to check in 24 hours prior to their presentations to upload their materials to the speaker management sys- Sunday, August 2, 4:00 p.m. – 5:50 p.m. tem or confirm their materials were uploaded correctly. Session CC- 207B chairs also should check in to confirm all speakers have uploaded Session 40 – Largely About Largeness: Models and their materials. Views for High-Dimensional Data

Saturday 10:00 a.m. – 6:00 p.m. Monday, August 3, 8:30 a.m. – 10:20 a.m. CC-202A Sunday 9:00 a.m. – 7:00 p.m. Session 85 – Spatial Data Analysis Monday – Wednesday 7:00 a.m. – 6:00 p.m. Tuesday, August 4, 8:30 a.m. – 10:20 a.m. Thursday 7:00 a.m. – 12:00 p.m. CC-202A Session 241 – Designing Longitudinal Studies Career Placement Service Wednesday, August 5, 2:00 p.m. – 3:50 p.m. CC – Hall D CC-207A 9:00 a.m. – 5:00 p.m. (job posting and Session 491 – Causal Inference in Statistics Saturday résumé submission only) Thursday, August 6, 8:30 a.m. – 10:20 a.m. Sunday 1:00 p.m. – 6:00 p.m. CC-207A Monday – Tuesday 8:00 a.m. – 6:00 p.m. Session 534 – Statistical Learning and Data Mining Wednesday 8:00 a.m. – 2:30 p.m. (onsite registration closes at noon) Late-Breaking Sessions

EXPO 2009 Monday, August 3, 2:00 p.m. – 3:50 p.m. CC – Hall D CC-202A Visit publishers, software companies, and recruiters. See state-of- Session 187 – Late-Breaking Session I: the-art products designed for the statistical community. Policymakers to Get Full Data Coverage of the Nation's Service Sector Sunday 1:00 p.m. – 6:00 p.m. Wednesday, August 5, 8:30 a.m. – 10:20 a.m. Monday – Tuesday 9:00 a.m. – 6:00 p.m. CC-202A Wednesday 9:00 a.m. – 2:30 p.m. Session 392 – Late-Breaking Session II: The Role of Statistics in the Nation's Financial Recovery and Stability Cyber Center CC – East Registration Wednesday, August 5, 10:30 a.m. – 12:20 p.m. There are 20 terminals with Internet access available for your CC-207A emailing needs, as well as three printers. Also, the Walter E. Session 441 – Late-Breaking Session III: Statistics in Washington Convention Center has Wi-Fi throughout the building the New Administration for $15.95 per day. There will be no internal message center this year, so make sure to take advantage of these Internet options.

Saturday 7:30 a.m. – 6:00 p.m. Sunday 7:30 a.m. – 10:30 p.m. Washington Visitors Information Center Monday – Tuesday 7:00 a.m. – 10:00 p.m. CC – Main Lobby Wednesday 7:00 a.m. – 8:00 p.m. Operated by the Walter E. Washington Convention Bureau, this center provides extensive information and referrals for restau- Thursday 7:00 a.m. – 10:30 a.m. rants, tours, and sightseeing. You also can pick up current maps and travel information.

ASA Marketplace Sunday 9:00 a.m. – 5:00 p.m. CC – A Lobby Monday – Thursday 8:00 a.m. – 6:00 p.m. The ASA Marketplace is your store for the official JSM 2009 T-shirt and other JSM and ASA souvenirs.

Saturday 12:00 p.m. – 5:30 p.m. Sunday – Wednesday 9:00 a.m. – 5:30 p.m. Thursday 7:30 a.m. – 10:00 a.m.

12 JSM 2009 Career PlacementCareer Service

Executive Suite Employers Abbott Laboratories Amgen, Inc Bank of America Capital One Clinical Trials & Surveys Corp. (C-TASC) Eli Lilly and Company Career Placement Service FDA FDA/Center for Devices and Radiological Health FDA/Office of Biostatistics Merck & Co., Inc. National Security Agency NORC at the University of Chicago Applicant Area Novartis Oncology Applicant SAS Institute Inc. Message Center

Employer Area Registered Office Employers Employer Message Center Axio Research, LLC Employer Applicant Baylor Health Care System Interview Scheduling Info Info Bell Labs, Alcatel-Lucent Case Western Reserve University Applicant Energy Information Agency Waiting (EIA) Area ESPN, Inc. Career Placement Exponent Entrance FDA/Center for Veterinary Medicine Hall D IBM T. J. Watson Research Center Johnson & Johnson Lawrence Livermore National Takeda Pharmaceuticals VA Center for Health Equity and Laboratory Promotion The Cambridge Group LTD Monsanto Company Vanderbilt University Medical The EMMES Corporation Center Department of School of Public Health, University of Manitoba Biostatistics University of Alberta U.S. Census Bureau W.L. Gore & Associates, Inc. Smith Hanley Associates, LLC U.S. Consumer Product Safety Westat Statistics of Income/Internal Commission Revenue Service

Washington, DC 13 Expo 2009

Stairs

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Popcorn Hall D Poster Sessions Poster

Exhibitor Check In Entrance

14 JSM 2009 Who’sExhibit Who at EXPO Hall 2009

Booth Exhibitor Booth Exhibitor

100 Q2 Business Intelligence, Inc. 404, 406 Cambridge University Press 101, 103, 200, Springer 405 McGraw-Hill/Irwin 202 Office of United Nations Employment Information 407 Hawkes Learning Systems 102 & Assistance/U.S. Department of State 408 Smith Hanley 105 TIBCO Spotfire 409 NCSS 108 IRS - Statistics of Income Division 412 Kforce Clinical Research Centers for Disease Control and Prevention/ 109 413 Capital One ATS&R U.S. Department of Education/Institute of 113 Tech Observer 414 Education Sciences 201, 300 SPSS Inc. 415 Biostat, Inc. 203 The Berkeley Electronic Press American Association for the Advancement of 416 Science (AAAS) 204, 206 REvolution Computing 417 Energy Information Administration (EIA) 205, 207, 209, CRC Press-Taylor & Francis Group 304, 306, 308 418 The Pennsylvania State University

208 MedFocus LLC 419, 421 National Security Agency

212 National Center for Health Statistics 420 The National Academies

213 MacKichan Software 500, 502 JMP, a business unit of SAS

214 Johnson & Johnson 501, 503, 505 SAS 215 Bureau of Labor Statistics 504, 506, 508 SAS Publishing

220 Google Inc. 507, 509 SAS Education

221 Placemart Personnel Service 512, 514 Minitab Inc. 301, 303, 305, 513, 612 RTI International John Wiley & Sons, Inc. 307 515, 517 Cytel Inc. 302 Oxford University Press 516, 518, 520 StataCorp 309 SAGE Publications 519 statistics.com 312 StatPoint Technologies, Inc. 521 Abt SRBI

313 Salford Systems 600, 602 American Statistical Association

601 Institute of Mathematical Statistics 314 Systat Software, Inc. 603 Statistical Society of Canada

315 Statistical Solutions 604 Publishers’ Book Display National Institutes of Health, National 316 605 ASA-SIAM Cancer Institute 606 JSM 2010 Vancouver 317 Minnesota Population Center 607 SIAM 319 American Educational Research Association 608 U.S. Census Bureau Substance Abuse and Mental Health Data Archive 320 (SAMHDA) 609 USDA, National Agricultural Statistics Service

321 The Cambridge Group Ltd. 614, 616 Brooks/Cole Cengage Learning

400, 402 StatSoft, Inc. 617, 619 Pearson

401 W.H. Freeman & Company 618, 620 ELSEVIER

403 Eli Lilly and Company 621 National Center for Health Statistics Washington, DC 15 Who’sExhibit Who at Hall EXPO 2009

Abt SRBI (521) Brooks/Cole Cengage Learning (614, 616) Silver Spring, MD Belmont, CA Abt SRBI is one of the nation’s premier full-service research and Cengage Learning delivers highly customized learning solutions strategy organizations. Noted for high-quality analytical capabili- for colleges, universities, professors, students, reference centers, ties with in-house resources for telephone, mail, Internet, and IVR government agencies, corporations, and professionals around the surveys, we ensure timely and actionable research for strategy and world. These solutions are delivered through specialized content, decisionmaking. We have 450 stations equipped for computer- applications, and services that foster academic excellence and pro- assisted telephone interviewing (CATI). fessional development and provide measurable results.

ASA-SIAM (605) Bureau of Labor Statistics (215) Alexandria, VA Washington, DC The ASA-SIAM Series on Statistics and Applied Probability is pub- The Bureau of Labor Statistics (BLS) is the principal fact-finding lished jointly by the ASA and the Society for Industrial and Applied agency for the federal government in the broad field of labor eco- Mathematics. It provides reasonably priced, high-quality books nomics and statistics. The BLS is an independent national statistical about topics in statistics and applied probability. Series titles are agency that collects, processes, analyzes, and disseminates essential discounted 20–30% during JSM. statistical data.

American Association for the Advancement of Science (416) CRC Press-Taylor & Francis Group (205, 207, 209, 304, 306, Washington, DC 308) Spend a year in Washington, DC, as an AAAS Science & Technology Boca Raton, FL Policy Fellow. Fellows contribute to federal policymaking. Chapman & Hall/CRC and Taylor & Francis are premier publishers Professionals of all career stages work in congressional offices and of books and journals in all areas of statistics. Please stop by our federal agencies. Applicants must hold a PhD or a master’s degree booth to pick up a sample copy of a journal or browse our latest in engineering (three years of post-MS experience). Visit books at discounts of up to 25%. http://fellowships.aaas.org. The Cambridge Group Ltd. (321) American Educational Research Association (319) Westport, CT Washington, DC The Cambridge Group Ltd. focuses on careers in biostatistics, clini- As the most prominent international professional organization in cal data management, clinical systems, SAS programming, regula- the realm of education research, AERA’s primary goal is advancing tory affairs, and more. Opportunities range from entry through education research and its practical application. Stop by to learn executive levels, both permanent and contract, in the pharmaceuti- more; meet with staff; and browse the AERA journals, books, and cal and biotechnology industries. other valuable resources. Cambridge University Press (404, 406) American Statistical Association (600, 602) New York, NY Alexandria, VA Cambridge University Press is one of the world’s leading pub- Since 1839, the ASA has been the world’s leading professional lishers of scholarly books and journals in the areas of H&SS. association for statisticians. The ASA serves as a forum for sharing Internationally recognized for the quality and excellence of our ideas, experiences, innovations, and accomplishments. Members products, we publish more than 2,000 titles and 215 journals are involved in such areas as medicine, computer applications, every year. quality management, analytical research, setting standards for statistics, and promoting statistical education. Capital One (413) The Berkeley Electronic Press (203) Richmond, VA Capital One Financial Corporation (www.capitalone.com) is a Berkeley, CA Fortune 500 company headquartered in McLean, Virginia, with Founded by professors, the Berkeley Electronic Press represents approximately 1,000 locations in the United States. A diversified the new standard in scholarly publishing. Our journals feature fast financial services company, Capital One offers credit cards, auto and high-quality peer review, an innovative guest access policy, and loans, banking services, personal loans, small business services, prices libraries can easily afford. Our collection of journals in sta- and commercial banking products. tistics includes Statistical Applications in Genetics and Molecular Biology, one of the premier journals in the field. www.bepress. com/Journals Centers for Disease Control and Prevention/ATS&R (109) Atlanta, GA Biostat, Inc. (415) The Centers for Disease Control and Prevention is one of 11 operating divisions of the Department of Health and Human Services, Englewood, NJ which is the principal agency in the United States government for Biostat distributes the world’s best-selling meta-analysis program, protecting the health and safety of all Americans and providing Comprehensive Meta-Analysis. Stop by for a free trial CD, free essential human services. papers on meta-analysis, and information about our Wednesday morning Computer Technology Workshop. Cytel Inc. (515, 517) Cambridge, MA New for JSM 2009, Cytel introduces Siz, the affordable fixed sample size clinical trial design software. The “Introduction to Siz” Computer Technology Workshop on Wednesday afternoon will provide an in-depth look at the first trial software combining design, simulation, and analysis. The Cytel booth will feature new designs and simulations for East Adapt. www.cytel.com

16 JSM 2009 Who’sExhibit Who at EXPO Hall 2009

Eli Lilly and Company (403) Institute of Mathematical Statistics (601) Indianapolis, IN Beachwood, OH Eli Lilly and Company is a leading, innovation-driven corpora- The Institute of Mathematical Statistics (IMS) is an international tion committed to developing a growing portfolio of best-in-class professional and scholarly society devoted to the development, dis- and first-in-class pharmaceutical products that help people live semination, and application of statistics and probability. The insti- longer, healthier, more active lives. We are committed to providing tute currently has about 4,500 members in all parts of the world. answers that matter—through medicine and information—for the world’s most urgent medical needs. JMP, a business unit of SAS (500, 502) Cary, NC ELSEVIER (618, 620) JMP is the SAS software designed for dynamic data visualization New York, NY on the desktop. Interactive, comprehensive, and highly visual, Elsevier delivers world-class content to statisticians and math- JMP enables you to interact with your data to explore relation- ematicians, from journals and textbooks to online solutions. Come ships, see hidden trends, dig into areas that interest you, and browse our new and bestselling books, cutting-edge journals, and move in new directions. online solutions in all areas of statistics. Conference discounts apply, and sample journals and textbook examination copies JSM 2010 Vancouver (606) are available. Vancouver, BC, Canada Visit the Vancouver booth to plan your JSM 2010 trip. Vancouver Energy Information Administration (417) is an unforgettable convention and vacation destination, where you Washington, DC can enjoy friends and family. Vancouver offers possible pre- and The Energy Information Administration (EIA) is the independent post-visits to Whistler, Victoria, and the Canadian Rockies, as well statistical agency of the U.S. Department of Energy. We provide as a Vancouver-Alaskan Cruise. policy-neutral data, forecasts, and analyses to promote sound policymaking, efficient markets, and public understanding regarding John Wiley & Sons, Inc. (301, 303, 305, 307) energy and its interaction with the economy and environment. Hoboken, NJ Founded in 1807, John Wiley & Sons, Inc., is an independent, glob- Google Inc. (220) al publisher of print and electronic products. Wiley-Blackwell is the Mountain View, CA international scientific, technical, medical, and scholarly publishing Google’s innovative search technologies connect millions of people arm of John Wiley & Sons, with strengths in every major academic with information every day. Founded in 1998 by Stanford PhD and professional field. students Larry Page and Sergey Brin, Google is a top web property in all major global markets. Google’s targeted advertising program Johnson & Johnson (214) provides businesses of all sizes with measurable results, while New Brunswick, NJ enhancing the overall web experience for users. Google is head- Johnson & Johnson, through its operating companies, is the quartered in Silicon Valley, with offices throughout the Americas, world’s most comprehensive and broadly based manufacturer of Europe, and Asia. For more information, visit www.google.com. health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices and diagnos- Hawkes Learning Systems (407) tics markets. Johnson & Johnson operating companies employ Charleston, SC approximately 113,000 men and women. Hawkes Learning Systems (HLS) is celebrating 30 years as a company specializing in mathematics software. HLS promotes Kforce Clinical Research (412) grade improvement and motivates students by engaging them Tampa, FL in the learning process. Students learn more effectively through Kforce helps build scalable outsourcing solutions that enable orga- tutorials, unlimited practice, mastery-based homework, and nizations to quickly expand or contract operations, keeping pace error-specific feedback. with their pipeline’s fluctuating demand. We achieve gains for customers through functional outsourcing, permanent placement, IRS - Statistics of Income Division (108) and contingent staffing in the areas of site and study management, Washington, DC monitoring, drug safety, and clinical data services. The Statistics of Income (SOI) Division produces data compiled from tax and information returns filed with the Internal Revenue MacKichan Software (213) Service. SOI data include financial information on individuals, Poulsbo, WA businesses, tax-exempt organizations, and more. Data are available Scientific WorkPlace and Scientific Word make writing, sharing, through publications, electronic databases, Tax Stats (www.irs. and doing mathematics easier. A click of a button allows you to gov/taxstats), and SOI’s Statistical Information Services – typeset your documents in LaTeX. The integrated computer alge- (202) 874-0410. bra system lets you solve and plot equations; animate 2D and 3D plots; rotate, move, and fly through 3D plots; and more. U.S. Department of Education/Institute of Education Sciences (414) McGraw-Hill/Irwin (405) Washington, DC New York, NY As the research arm of the U.S. Department of Education, IES’s McGraw-Hill/Irwin is the premier provider of textbooks and tech- mission is to provide rigorous evidence on which to ground edu- nology resources across the business and economics disciplines, cation practice and policy. IES conducts research and evaluation with specialization in business statistics, business math, and opera- activities, collects data on all aspects of education, and offers fund- tions management. We publish instructional materials targeted to ing/training opportunities. ies.ed.gov higher education and professional markets, delivering a wide variety of student and instructor resources.

Washington, DC 17 Who’sExhibit Who at Hall EXPO 2009

MedFocus LLC (208) Oxford University Press (302) Chicago, IL New York, NY MedFocus offers clinical research contract outsourcing and staff- Oxford University Press is a leading publisher of books on statistics. ing specifically to the pharmaceutical, biotechnology, and medical Visit us to see our latest titles, including Helden’s Statistics Applied device industries. MedFocus allows you to maintain consistency to BioInformatics, Thomas’ Statistical Methods in Environmental with high-quality consulting while managing variability in clinical Epidemiology, and Aitkin’s Statistical Modelling in R. Receive a work demand without headcount issues. For more information, 20% discount on all orders placed at the show. visit www.medfocus.com. Pearson (617, 619) Minitab Inc. (512, 514) Upper Saddle River, NJ State College, PA Pearson, the global leader in education and education technology, Minitab 15 is the leading software for statistics education world- is committed to providing quality content, assessment tools, and wide. It is accurate, reliable, and easy to use, with powerful graph- educational services for millions of students and their instructors. ics abilities that let you create stunning and informative graphs. Pearson continues to transform education and change the way Minitab integrates into curriculums seamlessly and affordably. students learn by offering innovative online resources and learning Minitab is used at more than 4,000 colleges and universities. applications, including MyStatLab and StatCrunch. Free trial. www.minitab.com The Pennsylvania State University (418) Minnesota Population Center (317) University Park, PA Minneapolis, MN The Penn State World Campus 100% online master’s degree and The Minnesota Population Center (MPC) is an interdisciplinary graduate certificate programs available in applied statistics improve research and training center at the University of Minnesota. MPC is your research and data analysis expertise and refine and maximize the world’s leading developer of harmonized U.S. and international your analytical talents. Study at times and locations convenient to census and survey data. More than 25,000 researchers worldwide your busy schedule, and have frequent interaction with your pro- have registered to use MPC-produced data sets, which are freely fessors while never setting foot on campus. available at www.ipums.org. Placemart Personnel Service (221) NCSS (409) Lanoka Harbor, NJ Kaysville, UT Placemart Personnel Service specializes in nationwide executive NCSS specializes in statistical data analysis software (NCSS) and search services in clinical drug and medical product R&D. For more sample size/power analysis software (PASS). NCSS and PASS are than 40 years, we have been matching jobs and job candidates in comprehensive, easy to use, affordable, and fully compatible with biostatistics. Typical positions include directors, managers, project Windows Vista. PASS 2008 is now available with power analysis of managers, group leaders, biostatisticians, data analysts, and statis- more than 150 statistical procedures. tical programmers. For details, visit www.placemart.com.

National Center for Health Statistics (212) Publishers’ Book Display (604) Hyattsville, MD Alexandria, VA The NCHS exhibit will showcase the various NCHS programmatic Visit the publishers’ book display booth to review books and litera- areas with an emphasis on statistical research and methodology. ture from publishers unable to attend JSM this year. Discounted The exhibit will allow attendees to view and acquire a host of publi- order forms are available. cations, electronic products, and other promotional products. Q2 Business Intelligence, Inc. (100) National Center for Health Statistics (621) Princeton, NJ Hyattsville, MD Q-Square Business Intelligence (Q2BI) is the most efficient and The NCHS Research Data Center (RDC) is in the unique position innovative global leader in providing high-quality service and reli- of being able to provide secure access to the full range of health able solutions to our health care and clinical research partners in and vital statistics information collected by the National Center for drug safety and new drug development. Q2BI is a certified CDISC Health Statistics data systems, while continuing to protect the con- solutions provider. Quality work for a quality world. fidentiality of the respondents and records. REvolution Computing (204, 206) National Security Agency (419, 421) New Haven, CT Ft. Meade, MD REvolution Computing is the leading commercial provider of The National Security Agency is a federal government agency that software and support for the statistical computing language provides foreign signals intelligence to decisionmakers and protects known as “R.” REvolution R and REvolution R Enterprise enable U.S. national security information systems. statisticians, scientists, and others to create superior predictive models and derive meaning from large sets of mission-critical Office of United Nations Employment Information & data in record time. Visit www.revolution-computing.com for Assistance/U.S. Department of State (102) more information. Washington, DC Our office encourages U.S. citizens who have information and professional qualifications in statistics, economics, finance, law, and other fields to compete for challenging positions in the United Nations and other international organizations. We publish a biweekly list of such vacancies and offer advice to job-seekers.

18 JSM 2009 Who’sExhibit Who at EXPO Hall 2009

National Institutes of Health/National Cancer Institute (316) StatPoint Technologies, Inc. (312) Bethesda, MD Warrenton, VA The National Institutes of Health (NIH) is the primary federal STATGRAPHICS Centurion XVI- Insight Through the Language of agency for conducting and supporting medical research. NIH Statistics. Advanced continuous improvement features, unmatched scientists investigate prevention, causes, treatments, and cures ease and reliability. Creates vibrant, illustrative graphics reveal- for diseases. Composed of 27 institutes and centers, the NIH ing critical facts hidden in your data, and then writes interpretive provides leadership and financial support to researchers in every reports explaining your analysis. See optimal direction, make cor- state and throughout the world. rect decisions, achieve peak performance, reduce costs, increase profits. www.statgraphics.com/version16.htm. RTI International (513, 612) Research Triangle Park, NC Salford Systems (313) Dedicated to improving the human condition, RTI International San Diego, CA (www.rti.org) provides research and technical expertise to govern- Salford Systems develops advanced statistical and data mining ments and businesses around the world. We work in health and software, including the CART decision tree, MARS automated pharmaceuticals, education and training, surveys and statistics, regression, TreeNet boosted decision trees, and Random Forests advanced technology, international development, economic and tree ensembles. Salford Systems strives to make the best academic social policy, energy and the environment, and laboratory and research easily usable by the practicing data analyst and has recent- chemistry services. ly won several distinguished international honors.

SAGE Publications (309) Smith Hanley (408) Thousand Oaks, CA New York, NY SAGE—an independent international publisher in the social sci- Our two divisions—permanent placement and contract staffing— ences, technology, and medicine—provides journals, books, and offer targeted recruitment in statistics, biostatistics, SAS program- electronic media of the highest caliber. Please stop by our booth or ming, data management, market research, health outcomes, and visit us at www.sagepub.com epidemiology. Since 1980, we’ve provided clients and recruits dedicated service, experience, and insight into industry trends for posi- SAS (501, 503, 505) tions at all levels. Permanent: www.smithhanley.com; Contract: www.smithhanleyconsulting.com Cary, NC SAS will exhibit its analytical software for statistics, data mining, econometrics, and statistical quality control. Please visit the SAS Springer (101, 103, 200, 202) booth to learn more about SAS 9.2—including the latest in statisti- New York, NY cal graphics and new software for Bayesian analysis—and meet Springer is one of the largest international publishers of scien- some of its R&D statisticians. tific books (4,000 new books per year), and also publishes more than 1,200 journals. Springer’s statistics book program is world- SAS Education (507, 509) renowned and has produced many bestselling textbooks, mono- graphs, and reference works. Notable publications include the Cary, NC Springer Series in Statistics, Statistics for Biology and Health, and SAS’ Global Academic Program group can help your university, Statistics and Computing. college, or high school incorporate SAS into your curriculum with our programs, services, and events, many of which are offered free of charge. Our Global Certification group helps you put your SAS StatSoft, Inc. (400, 402) skills to the test and can add credibility to your résumé. Tulsa, OK StatSoft, Inc., founded in 1984, is one of the largest producers of SAS Publishing (504, 506, 508) enterprise and desktop software for data analysis, data mining, quality control/Six Sigma, and web-based analytics. Its products Cary, NC are used worldwide at most major universities, corporations, and Visit to learn more about saving 20% on orders placed or mailed government agencies and are supported with training and consult- to us by August 28, new SAS documentation titles, new SAS Press ing services. titles, and SAS certification guides. SAS Publishing staff is available to answer questions and assist with your orders. Enjoy the conference! StataCorp (516, 518, 520) College Station, TX SIAM (607) Stata statistical software is a general purpose system intended for use by research professionals. It is available for Windows, Philadelphia, PA Macintosh, and Unix platforms and provides full data manage- In addition to the ASA-SIAM series, SIAM publishes a variety of ment, graphics, statistical, and matrix language capabilities. other books of interest to JSM attendees. Enjoy 20–30% discounts during JSM. Complete a brief survey at the booth and receive a reusable grocery tote! For more information about the ASA-SIAM Statistical Society of Canada (603) series and other SIAM books, visit www.siam.org/books. Ottawa, ON The Statistical Society of Canada (SSC) encourages the devel- SPSS Inc. (201, 300) opment and use of statistics and probability in Canada. It has four sections: Biostatistics, Business & Industrial Statistics, Chicago, IL Probability, and the Survey Section. The SSC also offers two SPSS Inc. is a leading global provider of predictive analytics soft- levels of accreditation: Professional Statistician (P.Stat.) and ware and solutions. The company’s predictive analytics technology Associate Statistician (A.Stat.). improves business processes by giving organizations consistent control over decisions made every day. Incorporating predictive analytics into their daily operations enables organizations to meet business goals.

Washington, DC 19 Who’sExhibit Who at Hall EXPO 2009

Statistical Solutions (315) The National Academies (420) Saugus, MA Washington, DC Statistical Solutions Ltd., designs, develops, and distributes unique The National Academies consists of four organizations: the statistical software applications for statisticians, clinical research- National Academy of Sciences, the National Academy of ers, and data analysts. Each application addresses specific critical Engineering, the Institute of Medicine, and the National Research issues that arise in the design and statistical analysis of clinical trials, Council. The National Academies bring together committees of research surveys, and other scientific investigations. Products include experts in science, technology, and medicine, offering unbiased nQuery Advisor, Solas for Missing Data, BMDP, and EquivTest. advice to the public and federal government.

statistics.com (519) TIBCO Spotfire (105) Arlington, VA Somerville, MA Statistics.com is the leading provider of online courses in statistics. The TIBCO Spotfire enterprise analytics platform offers a visual More than 70 courses, introductory to advanced, are taught by dis- and interactive experience that helps professionals quickly discover tinguished instructors. Typical courses require 15 hours per week new and actionable insights into information. Distinguished by over three or four weeks. There are no set times when you have to be its speed to gain insight and adapt to specific business challenges, online during the weekly lessons. Spotfire rapidly reveals unseen threats and new opportunities, creating significant economic value. Substance Abuse and Mental Health Data Archive (320) Ann Arbor, MI U.S. Census Bureau (608) SAMHDA provides free access to preeminent national data on drug Washington, DC use and mental health and promotes the sharing of these data among The U.S. Census Bureau’s collections include socioeconomic infor- researchers, academics, policymakers, service providers, and oth- mation–2010 Census and American Community Survey—topics ers. We are an initiative of the Office of Applied Studies and the such as population, housing, and income; or business and industry Substance Abuse and Mental Health Services Administration. statistics. To identify changes or track trends at the local, state, or national levels or to see what’s new, please visit our booth. Systat Software, Inc. (314) www.census.gov. Chicago, IL Systat Software is the developer of the SYSTAT statistics package. USDA, National Agricultural Statistics Service (609) SYSTAT 12 is a cutting-edge tool for scientific and social research. Washington, DC It’s recently added methods such as mixed model analysis and partial USDA’s National Agricultural Statistics Service (NASS) dissemi- least-squares regression to its broad portfolio of algorithms and fea- nates data on every facet of U.S. agriculture. The agency conducts tures outstanding 2D and 3D graphics. Visit www.systat.com. surveys and issues 500 reports annually. NASS released the 2007 Census of Agriculture in February 2009, providing the only source Tech Observer (113) of agricultural data for every county in the nation. NASS reports are Hackensack, NJ available at www.nass.usda.gov. Tech Observer is a global staffing provider for the pharmaceutical, biotechnology, health care, and IT industries. We are headquar- W.H. Freeman & Company (401) tered in the USA, with branches in the UK and India. Our expertise New York, NY includes biostatistics/statistics, clinical SAS, clinical data manage- W.H. Freeman & Company publishes high-quality textbooks and ment, Oracle clinical, 21 CFR part 11 validation, drug safety, media in statistics. Visit our booth to learn more about our popular and regulatory affairs and IT. titles for introductory statistics, business statistics, and statistics for the life sciences. Also, view demonstrations of our online teaching and learning solution, StatsPortal.

20 JSM 2009 Continuing Education-at-a-GlanceEducation

Time Course Instructor(s) Course Title Saturday, August 1, 2009 8:30 a.m. –5:00 p.m. CE_01C Philip Hougaard Analysis of Multivariate Survival Data Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and 8:30 a.m. –5:00 p.m. CE_02C Michael Daniels/Joe Hogan Sensitivity Analysis 8:30 a.m. –5:00 p.m. CE_03C Douglas C. Montgomery/Bradley A. Jones Design of Experiments: New Methods and How to Use Them 8:30 a.m. –5:00 p.m. CE_04C Annie Qu/Peter Song Longitudinal Data Analysis: Semiparametric and Nonparametric Approaches 8:30 a.m. –5:00 p.m. CE_05C Stephen E. Fienberg The Analysis of Cross-Classified Categorical Data 8:30 a.m. –5:00 p.m. CE_06C Andrea S. Foulkes Applied Statistical Genetics for Population-Based Association Studies 8:30 a.m.–5:00 p.m. CE_07C Yi Tsong Active Control Clinical Trials

Sunday, August 2, 2009 8:30 a.m. – 5:00 p.m. CE_01C Philip Hougaard Analysis of Multivariate Survival Data William B. Smith/Dallas E. Johnson/ 8:30 a.m. – 5:00 p.m. CE_08C New Developments of Traditional Multivariate Analyses F. Michael Speed David Ruppert/Ciprian Crainiceanu/ 8:30 a.m. – 5:00 p.m. CE_09C Semiparametric Regression Raymond J. Carroll 8:30 a.m. – 5:00 p.m. CE_10C Thomas Mathew/Kalimuthu Krishnamoorthy Tolerance Intervals: Theory, Applications, and Computation 8:30 a.m. – 5:00 p.m. CE_11C Alan Dorfman/Richard Valliant Model-Based Survey Sampling: Theory and Practice Hierarchical Modeling and Analysis of Spatial-Temporal Data: Emphasis in 8:30 a.m. – 5:00 p.m. CE_12C Sudipto Banerjee/Andrew O. Finley Forestry, Ecology, and Environmental Sciences 8:30 a.m. – 5:00 p.m. CE_13C Geert Verbeke/Geert Molenberghs Models for Discrete Repeated Measures

Monday, August 3, 2009 Methodology for Competing Outcomes: The Analysis of Multiple Mutually Exclusive 8:00 a.m. – noon CE_14C David C. Naftel Endpoints in a Clinical Trial 8:30 a.m. – 5:00 p.m. CE_15C Anthony C. Atkinson/Randy D. Tobias Optimum Experimental Designs 8:30 a.m. – 5:00 p.m. CE_16C Frank Bretz/José Pinheiro Dose-Finding Studies: Methods and Implementation 8:30 a.m. – 5:00 p.m. CE_17C Bruno Sansó Bayesian Inference 8:30 a.m. – 5:00 p.m. CE_18C William Q. Meeker Experiences and Pitfalls in Reliability Data Analysis and Test Planning 8:30 a.m. – 5:00 p.m. CE_19C John Cornell/Greg Piepel Methods for Designing and Analyzing Mixture Experiments 8:30 a.m. – 5:00 p.m. CE_20C Paul Allison Multiple Imputation of Missing Data Evaluating Probability of Success for Internal Decisionmaking in Early 1:00 p.m. – 5:00 p.m. CE_21C Martin King/Narinder Nangia/Jane Qian Drug Development Tuesday, August 4, 2009 8:00 a.m. – noon CE_22C Mitchell H. Gail/Ruth Pfeiffer Absolute Risk Prediction 8:30 a.m. – 5:00 p.m. CE_23C S. J. Koopman State Space Time Series Analysis in Practice 8:30 a.m. – 5:00 p.m. CE_24C Bimal K. Sinha/Guido Knapp Statistical Meta-Analysis: Methods and Applications 8:30 a.m. – 5:00 p.m. CE_25C Maria Rizzo/Jim Albert Monte Carlo and Bayesian Computation with R 8:30 a.m. – 5:00 p.m. CE_26C Martin Theus/Simon Urbanek Comprehensive Data Analysis Using Interactive Statistical Graphics 8:30 a.m. – 5:00 p.m. CE_27C Athanasios Kottas/Abel Rodriguez Applied Bayesian Nonparametric Mixture Modeling Devan Mehrotra/Alex Dmitrienko/ 8:30 a.m. – 5:00 p.m. CE_28C Analysis of Clinical Trials: Theory and Applications Keaven Anderson 1:00 p.m. – 5:00 p.m. CE_29C Stanislav Kolenikov Bootstrap for Complex Surveys Wednesday, August 5, 2009 8:00 a.m. – 9:45 a.m. CE_30T Brian Sullivan Methods for Multiple Imputation with SOLAS for Missing Data Analysis 3.2 8:00 a.m. – 9:45 a.m. CE_31T Jeffrey Pitblado Survey Data Analysis with Stata 8:00 a.m. – 9:45 a.m. CE_32T Fang Chen Introduction to Bayesian Analysis Using SAS Software 10:00 a.m. – 11:45 a.m. CE_33T Michael Borenstein/Hannah R. Rothstein Meta-Analysis: Concepts and Applications 10:00 a.m. – 11:45 a.m. CE_34T Roberto G. Gutierrez Multilevel and Mixed Models in Stata 10:00 a.m. – 11:45 a.m. CE_35T Fang Chen Introduction to the MCMC Procedure in SAS/STAT Software 1:00 p.m. – 2:45 p.m. CE_36T Janet D. Elashoff/Brian Sullivan Determining Sample Size and Power in Study Planning: nQuery Advisor 7.0 1:00 p.m. – 2:45 p.m. CE_37T Mikhail Golovnya Introduction to CART: Data Mining with Decision Trees 1:00 p.m. – 2:45 p.m. CE_38T Yang Yuan Group Sequential Analysis Using SAS Software Advances in Data Mining: Jerome Friedman’s TreeNet/MART and Leo Breiman’s 3:00 p.m. – 4:45 p.m. CE_39T Mikhail Golovnya Random Forests 3:00 p.m. – 4:45 p.m. CE_40T Anthony An Using Replication Methods to Analyze Survey Data in SAS Software Introduction to Siz: Cytel’s New Software Package for Clinical Trial Design 3:00 p.m. – 4:45 p.m. CE_41T Yannis Jemiai and Analysis

Washington, DC 21

Technical2009 SessionsJSM sunday, august 2

15 Sponsor 2:00 p.m. 4:00 p.m. Session Number American Statistical Association 40 CC-207B CC 15 CC-143A 48 CC-155 Business & Economic Statistics Section Walter E. 38 CC-142 63 CC-157 Washington Convention 13 CC-101 45 CC-101 Center Biometrics Section 24 CC-203A 54 CC-102A 25 CC-203B 65 CC-204A 104 Room Number 1 CC-202A 43 CC-102B 26 CC-201 56 CC-202B Biopharmaceutical Section 17 CC-102B 78 CC-203B 27 CC-102A 79 CC-201

Caucus for Women in Statistics 5 CC-141

Committee on Career Development 23 CC-206

Section on Statistical Consulting 9 CC-143B

ASA Colorado-Wyoming Chapter 7 CC-207B

2 CC-155 Section on Statistical Computing 72 CC-142 36 CC-153

Technical Sessions Key Section on Statisticians in Defense and National Security 58 CC-143C

41 CC-144A Section on Statistical Education 22 CC-144A 69 CC-143B

40 CC-207B Eastern North American Region of the International Biometric Society 28 CC-204A 51 CC-204C

32 CC-158A Section on Statistics and the Environment 59 CC-209B 35 CC-158B

20 CC-204C Section on Statistics in Epidemiology 49 CC-202A 34 CC-208A

6 CC-150B Section on Government Statistics 57 CC-149A 18 CC-209C

Section on Statistical Graphics 47 CC-144B

Section on Health Policy Statistics 14 CC-144B 75 CC-148

40 CC-207B International Chinese Statistical Association 67 CC-143A

International Indian Statistical Association 40 CC-207B

6 CC-208A 10 CC-209A 40 CC-207B Institute of Mathematical Statistics 11 CC-207A 52 CC-206 29 CC-159A 53 CC-207A

International Statistical Institute 4 CC-204B

Journal of Computational and Graphical Statistics 44 CC-209C

Section on Statistics and Marketing 70 CC-160

30 CC-157 68 CC-208B Section on Nonparametric Statistics 16 CC-159B 42 CC-209A

Section on Risk Analysis 73 CC-153

Washington, DC 23 sunday, august 2

15 Sponsor 2:00 p.m. 4:00 p.m. Session Number 61 CC-158B 3 CC-209B 62 CC-158A CC Section on Bayesian Statistical Science 37 CC-208B 76 CC-159B Walter E. 77 CC-159A Washington Convention SOC 12 CC-150A 55 CC-149B Center Section on Physical and Engineering Sciences 21 CC-143C 74 CC-141 104 Room Number 19 CC-149B 46 CC-150A Section on Survey Research Methods 33 CC-144C 60 CC-149A 39 CC-148 71 CC-144C

Section on Statistical Graphics 40 CC-207B

WNAR 8 CC-202B 40 CC-207B

Committee on Women in Statistics 50 CC-203A

Technical Sessions Key

24 JSM 2009

monday, august 3 Technical Sessions Key Sessions Technical Sponsor 8:30 a.m. 10:30 a.m. 2:00 p.m. 4:00 p.m. 8:00 p.m. 15 Session Number American Association of 144 CC-101 Public Opinion Research CC Walter E. American Statistical 234 CC- 85 CC-202A 187 CC-202A Washington Association Ballroom A-B Convention Center 86 CC-208A 104 CC-208B 104 Business & Economic 122 CC-203B 150 CC-141 212 CC-158A Room Number Statistics Section 128 CC-Hall D 173 CC-142 205 CC-142 129 CC-Hall D 130 CC-Hall D

101 CC-144C 157 CC-204C 194 CC-150B Biometrics Section 110 CC-153 162 CC-203B 221 CC-144C 111 CC-155 171 CC-203A 222 CC-148

204 CC-153 102 CC-150B 136 CC-202A 211 CC-144B Biopharmaceutical Section 103 CC-149A 149 CC-201 224 CC-144A 123 CC-150A 172 CC-204A 233 CC-Hall D

210 CC-143B Section on Statistical 230 CC-Hall D Consulting 231 CC-Hall D

Section on Statistical 70 CC-143C 113 CC-203A 219 CC-159A Computing 141 CC-144C

Committee on 209 CC-102A Statistics and Disability

226 CC-L Street Section on Bridge Statisticians in Defense 148 CC-143B and National Security 228 CC-L Street Bridge

Section on 153 CC-143A 107 CC-204A 188 CC-155 Statistical Education 169 CC-144A

135 CC-202B Eastern North 85 CC-202A American Region of the 187 CC-202A 233 CC-Hall D 96 CC-144A Intl. Biometric Society 213 CC-141

Committee on 140 CC-102B Energy Statistics

137 CC-209B Section on Statistics 92 CC-159A 203 CC-209A and the Environment 117 CC-159B 218 CC-203B

Section on Statistics 91 CC-144B 60 CC-204B 191 CC-160 in Epidemiology 116 CC-143C 168 CC-209A 217 CC-143C

Committee on 97 CC-206 Professional Ethics

General Methodology, Section on Statistical 88 CC-202B Graphics

106 CC-204C 109 CC-102A Section on 152 CC-155 124 CC-L Street 206 CC-101 Government Statistics Bridge 165 CC-149A 125 CC-L Street Bridge

Washington, DC 25 monday, august 3

15 Sponsor 8:30 a.m. 10:30 a.m. 2:00 p.m. 4:00 p.m. 8:00 p.m. Session Number 192 CC-149B Section on CC Statistical Graphics 227 CC-L Street Bridge Walter E. Washington Section on Health 226 CC-L Street 89 CC-101 158 CC-160 Convention Policy Statistics Bridge Center 85 CC-202A International Chinese 104 87 CC-201 187 CC-202A Statistical Association Room Number 134 CC-Hall D International Indian 85 CC-202A 187 CC-202A Statistical Association 85 CC-202A 187 CC-202A 93 CC-204B 197 CC-207A 235 CC- Institute of 146 CC-209C 94 CC-209B 199 CC-206 Ballroom Mathematical Statistics 147 CC-207A 95 CC-207A 201 CC-209B A-B 121 CC-209C 223 CC-208B JASA, Theory 145 CC-102A and Methods Section on Statistics 118 CC-209A 190 CC-143A and Marketing 131 CC-Hall D Section on 112 CC-148 159 CC-208A 189 CC-207B Nonparametric Statistics 120 CC-160 166 CC-208B 220 CC-203A

Technical Sessions Key Section on Quality 98 CC-207B and Productivity 143 CC-206 Section on Risk Analysis 119 CC-141

100 CC-158A 139 CC-158A 200 CC-204B Section on Bayesian 105 CC-158B 151 CC-158B 202 CC-204A Statistical Sciences 132 CC-Hall D 164 CC-159A 225 CC-208A Section on 133 CC-Hall D Statistics in Sports

ASA Special Interest Group on Statistical 138 CC-207B Learning and Data Mining 90 CC-102B 108 CC-143B Social Statistics Section 156 CC-159B 208 CC-204C 127 CC-L Street Bridge 214 CC-149A Section on Physical and 142 CC-149B 226 CC-L Street Engineering Sciences Bridge 154 CC-150A 155 CC-150B 167 CC-148 187 CC-202A Section on Survey 114 CC-143A / 193 CC-102B 198 CC-158B Research Methods 99 CC-142 207 CC-201 229 CC-L Street 216 CC-202B Bridge 226 CC-L Street Bridge Statistical Society 85 CC-202A of Canada Section on Teaching of Statistics in the Health 195 CC-159B Sciences

135 CC-202B Western North 85 CC-202A American Region of the 187 CC-202A 232 CC-Hall D Intl. Biometric Society 115 CC-149B 196 CC-150A

26 JSM 2009

Tuesday, august 4 Technical Sessions Key Sessions Technical Sponsor 8:30 a.m. 10:30 a.m. 2:00 p.m. 4:00 p.m. 8:00 p.m. 15 Session Number American 241 CC-202A 386 CC- 288 CC-102B Statistical Association 242 CC-102B Ballroom A-B CC Walter E. Business & Economic 261 CC-143C 344 CC-149A 303 CC-158B Washington Statistics Section 267 CC-142 376 CC-149B Convention 289 CC-201 Center 254 CC-204C 322 CC-203A 378 CC-Hall D 323 CC-203B 104 Biometrics Section 276 CC-204B 356 CC-141 379 CC-Hall D Room Number 277 CC-203A 371 CC-203A 380 CC-Hall D 373 CC-203B

252 CC-101 307 CC-204C Biopharmaceutical 359 CC-142 256 CC-204A 324 CC-204B Section 377 CC-201 280 CC-201 325 CC-204A

Section on 299 CC-158A Statistical Consulting

Council of Chapters 291 CC-150A

Committee on 358 CC-102A Outreach Education

Section on 247 CC-143A 319 CC-149B 354 CC-150B Statistical Computing 270 CC-141

Section on Statisticians in Defense 310 CC-144C and National Security

Deming Lectureship 384 CC- Committee (DEM) Ballroom A-B

266 CC-155 Section on 281 CC-Hall D 290 CC-150B 367 CC-153 Statistical Education 282 CC-Hall D 314 CC-153 283 CC-Hall D Eastern North 241 CC-202A American Region of the 288 CC-102B 242 CC-102B 350 CC-202B International 295 CC-202B 268 CC-203B Biometric Society

Section on Statistics 264 CC-158A 292 CC-209C 366 CC-159B and the Environment 274 CC-158B

340 CC-202A Section on Statistics 260 CC-150B 312 CC-209B 361 CC-101 in Epidemiology 257 CC-102A 315 CC-102A 362 CC-204A

Section on 309 CC-141 255 CC-144B 345 CC-150A Government Statistics 321 CC-144A

Section on 271 CC-143B Statistical Graphics

263 CC-144A Section on Health 285 CC-L Street 343 CC-143C Policy Statistics Bridge

International Indian 349 CC-209B Statistical Association

International Chinese 241 CC-202A 288 CC-102B 341 CC-209C Statistical Association 242 CC-102B

Washington, DC 27 Tuesday, august 4

15 Sponsor 8:30 a.m. 10:30 a.m. 2:00 p.m. 4:00 p.m. 8:00 p.m. Session Number 241 CC-202A International Indian 242 CC-102B 288 CC-102B Statistical Association CC 246 CC-159B Walter E. Washington 241 CC-202A 242 CC-102B 288 CC-102B 346 CC-207B Convention Institute of 250 CC-209A 296 CC-207A 351 CC-206 385 CC-202A Center Mathematical Statistics 251 CC-207A 298 CC-207B 375 CC-157 104 279 CC-208B Room Number Journal of Business & 244 CC-160 Economic Statistics

Memorial 347 CC-204C

Section on Statistics 302 CC-149A 364 CC-143A and Marketing

243 CC-206 353 CC-158A Section on 275 CC-208A 369 CC-158B 320 CC-157 Nonparametric Statistics 286 CC-L Street 370 CC-159A Bridge Scientific and Public Affairs Advisory 253 CC-157 Committee

Technical Sessions Key 368 CC-148 Section on Quality 381 CC-L Street and Productivity Bridge

382 CC-L Street Section on Risk Analysis 269 CC-148 305 CC-148 Bridge

342 CC-207A 259 CC-209B Section on Bayesian 304 CC-208B 360 CC-209A 262 CC-209C Statistical Sciences 308 CC-206 372 CC-208A 278 CC-207B 374 CC-208B

Section on 272 CC-159A Statistics in Sports

Social Statistics Section 265 CC-149A 293 CC-144B 355 CC-144A

Section on Physical and 306 CC-159B 383 CC-L Street 245 CC-153 Engineering Sciences 313 CC-159A Bridge

248 CC-150A 301 CC-142 Section on Survey 258 CC-144C 357 CC-144C 317 CC-143C Research Methods 273 CC-149B 365 CC-144B 327 CC-143B 284 CC-Hall D

Statistical Society 241 CC-202A 288 CC-102B of Canada 242 CC-102B 297 CC-143A

The American Statistician 300 CC-101

Technometrics 348 CC-204B

Section on Teaching 287 CC-L Street of Statistics in the 316 CC-155 Bridge Health Sciences

Western North 241 CC-202A American Region of the 288 CC-102B 242 CC-102B International 311 CC-209A 249 CC-202B Biometric Society

28 JSM 2009

wednesday, august 5 Technical Sessions Key Sessions Technical Sponsor 8:30 a.m. 10:30 a.m. 2:00 p.m. 4:00 p.m. 15 Session Number American 392 CC-202A 441 CC-207A 491 CC-207A Statistical Association 403 CC-159A CC 462 CC-208A Business & Economic 413 CC-149A 510 CC-148 Walter E. 477 CC-208B Statistics Section 415 CC-149B 515 CC-153 Washington 444 CC-209A Convention Center 393 CC-206 460 CC-101 504 CC-102B 411 CC-209A Biometrics Section 473 CC-203A 525 CC-203A 426 CC-204A 104 474 CC-203B 526 CC-203B 428 CC-208B Room Number 493 CC-202B 412 CC-209B Biopharmaceutical 463 CC-102B 505 CC-101 429 CC-209C Section 476 CC-102A 528 CC-201 430 CC-102A 529 CC-204B Section on 417 CC-148 Statistical Consulting 495 CC-143A 522 CC-141 Section on 395 CC-155 530 CC-L Street Statistical Computing 416 CC-153 Bridge 531 CC-L Street Bridge

Committee of Presidents 533 CC-Ballroom A-B of Statistical Societies

Section on Statisticians in Defense and National 397 CC-101 517 CC-143B Security

Environmental and Ecological 398 CC-159B Statistics

Section on 418 CC-160 465 CC-149B 509 CC-142 Statistical Education

392 CC-202A Eastern North American 400 CC-208A 491 CC-207A Region of the International 403 CC-159A 467 CC-204A 503 CC-202A Biometric Society 433 CC-L Street Bridge 497 CC-159A Section on Statistics 405 CC-143B 461 CC-155 & the Environment 422 CC-144B 532 CC-L Street Bridge 406 CC-207A 419 CC-207B 442 CC-204C Section on Statistics 437 CC-Hall D 518 CC-102A 464 CC-202A in Epidemiology 438 CC-Hall D 520 CC-204C 470 CC-204B 439 CC-Hall D 440 CC-Hall D

General Methodology 399 CC-150B

Section on 454 CC-143B 513 CC-144B Government Statistics Section on 471 CC-153 Statistical Graphics

Section on Health 425 CC-204B 458 CC-143C Policy Statistics

International Chinese 392 CC-202A 491 CC-207A Statistical Association 403 CC-159A

International Indian Statistical 392 CC-202A 445 CC-150A 491 CC-207A Association 403 CC-159A

Washington, DC 29 wednesday, august 5

15 Sponsor 8:30 a.m. 10:30 a.m. 2:00 p.m. 4:00 p.m. Session Number International Indian Statistical CC Association, Reps. for Young 434 CC-L Street Walter E. Statisticians Washington Convention 392 CC-202A 401 CC-102A Center 491 CC-207A 402 CC-201 452 CC-159B 494 CC-206 Institute of 403 CC-159A 104 453 CC-207B 502 CC-207B Mathematical Statistics 431 CC-L Street 475 CC-160 501 CC-209A Room Number Bridge 527 CC-208A 432 CC-L Street Bridge JASA, Applications 500 CC-159B and Case Studies

Section on Statistics 507 CC-160 396 CC-150A and Marketing

Noether Award 451 CC-144C Committee Section on 424 CC-144A 523 CC-158A Nonparametric Statistics

Scientific and Public Affairs 459 CC-150B 514 CC-158B Advisory Committee

Technical Sessions Key Section on Quality 447 CC-209C and Productivity

Section on Risk Analysis 498 CC-150B

410 CC-142 448 CC-158B 506 CC-209C Section on Bayesian 414 CC-143A 455 CC-159A 511 CC-209B Statistical Sciences 427 CC-141 457 CC-158A 524 CC-208B Section on 443 CC-206 Statistics in Sports

Social Statistics Section 394 CC-204C 469 CC-144A 508 CC-144A

SPAIG Committee 408 CC-158A

Section on Physical and 499 CC-143C 407 CC-144C 456 CC-209B Engineering Sciences 516 CC-149B

409 CC-202B 466 CC-143A 492 CC-150A Section on Survey 420 CC-203A 478 CC-141 512 CC-144C Research Methods 421 CC-203B 479 CC-142 519 CC-149A

Statistical Society 392 CC-202A 468 CC-148 491 CC-207A of Canada 403 CC-159A

Section on Teaching 450 CC-144B of Statistics in the Health Sciences Western North 392 CC-202A American Region of 403 CC-159A 449 CC-201 491 CC-207A the International Biometric Society

30 JSM 2009

THURSDAY, august 6 Technical Sessions Key Sessions Technical Sponsor 8:30 a.m. 10:30 a.m. 15 Session Number American Statistical Association 534 CC-207A 578 CC-155 CC 550 CC-155 Business & Economic Statistics Section 587 CC-149B 570 CC-153 Walter E. 610 CC-158B Washington Convention 574 CC-150A 552 CC-202A Center 606 CC-160 Biometrics Section 568 CC-203B 607 CC-153 569 CC-208A 609 CC-148 104 Room Number 537 CC-201 591 CC-144C Biopharmaceutical Section 547 CC-204B 592 CC-144B 572 CC-208B 599 CC-144A

Section on Statistical Consulting 589 CC-159A

553 CC-207B 577 CC-207A Section on Statistical Computing 564 CC-205 602 CC-210 Section on Statisticians in Defense 590 CC-206 and National Security 557 CC-101 Section on Statistical Education 575 CC-207B 563 CC-210 Eastern North American Region of 534 CC-207A 581 CC-143C the International Biometric Society 542 CC-204C

Section on Statistics and the Environment 540 CC-144A 601 CC-208A 555 CC-204A 576 CC-150B Section on Statistics in Epidemiology 561 CC-203A 600 CC-159B 567 CC-150B Section on Government Statistics 588 CC-204A 556 CC-159A Section on Statistical Graphics 539 CC-206

Section on Health Policy Statistics 579 CC-102A

International Chinese Statistical Association 534 CC-207A 586 CC-142

International Indian Statistical Association 534 CC-207A

534 CC-207A 582 CC-202B 544 CC-143C Institute of Mathematical Statistics 583 CC-202A 545 CC-143A 608 CC-208B 558 CC-144C Memorial 546 CC-149A 595 CC-203A Section on Nonparametric Statistics 566 CC-141 605 CC-203B Section on Quality and Productivity 598 CC-158A Section on Risk Analysis 549 CC-158A 603 CC-143B 535 CC-143B 593 CC-204B Section on Bayesian Statistical Sciences 548 CC-144B 594 CC-204C 559 CC-142 611 CC-205 Special Interest Group on Statistical Learning and Data Mining, International Indian 580 CC-201 Statistical Association

Social Statistics Section 560 CC-160 585 CC-143A

538 CC-149B Section on Physical and Engineering Sciences 604 CC-157 565 CC-148

551 CC-150A 573 CC-102B Section on Survey Research Methods 554 CC-158B 596 CC-141 571 CC-159B 534 CC-207A Statistical Society of Canada 543 CC-102A

Washington, DC 31 32 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel Thurs-Sun Late-Breaking Sessions

Monday, August 3, 2:00 p.m. – 3:50 p.m. CC-202A Session 187 – Late-Breaking Session I: Policymakers to Get Full Data Coverage of the Nation's Service Sector Wednesday, August 5, 8:30 a.m. – 10:20 a.m. CC-202A Session 392 – Late-Breaking Session II: The Role of Session Tag Descriptions Statistics in the Nation's Financial Recovery and Stability We expect both theme and applied sessions to draw Wednesday, August 5, 10:30 a.m. – 12:20 p.m. a diverse audience. CC-207A THEME ✪ Session 441 – Late-Breaking Session III: Statistics in the JSM theme sessions are directly relevant to the 2009 New Administration JSM theme, “Statistics: From Evidence to Policy.” Theme sessions are designed to expand the frontiers of statistical thought, emphasize new directions, and promote interdisciplinary collaboration.

Descriptions APPLIED  JSM applied sessions have applications at the heart of the presentations. Because these sessions are FRIDAY, JuLY 31 grounded in applications across many areas of science and engineering, they may involve interdisciplinary work and include presentations by nonstatisticians. Applied Committee/Business Meetings & sessions vary in scope, ranging from presentations on state-of-the-art statistical methodology applied to real- Other Activities world problems to those that are tutorial in nature. 7:30 a.m.–8:30 a.m. RH-Meeting Room 4 ASA Board of Directors Breakfast (closed) Chair(s): Sally C. Morton, RTI International

8:30 a.m.–5:00 p.m. RH-Meeting Room 3 ASA Board of Directors Meeting Chair(s): Sally C. Morton, RTI International

12:30 p.m.–1:30 p.m. RH-Meeting Room 4 ASA Board of Directors Lunch (closed) THURSDAY, JuLY 30 Chair(s): Sally C. Morton, RTI International 6:30 p.m.–7:30 p.m. RH-Suite 1240 Committee/Business Meetings & JSM Staff and ASA Board of Directors Reception (closed) Other Activities Chair(s): Ron Wasserstein, ASA

7:00 p.m.–9:00 p.m. RH-Meeting Room 2 ASA Board of Directors Executive Committee Working Dinner (closed) Chair(s): Sally C. Morton, RTI International

Washington, DC 33 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

sATURDAY, AUGUST 1

Committee/Business Meetings & 12:30 p.m.–5:30 p.m. RH-Meeting Room 2 Annual Meeting of the GCRC Statisticians Other Activities Organizer(s): James Grady, University of Texas Medical Branch at Galveston 7:30 a.m.–8:30 a.m. RH-Meeting Room 4 ASA Board of Directors Breakfast (closed) 2:00 p.m.–5:30 p.m. RH-Renaissance Ballroom West A Chair(s): Sally C. Morton, RTI International Statistics Education NSF Investigators’ Meeting Organizer(s): Dennis Pearl, The Ohio State University 7:30 a.m.–3:30 p.m. RH-Meeting Room 3 ASA Board of Directors Meeting 3:00 p.m.–6:00 p.m. RH-Renaissance Ballroom West B Chair(s): Sally C. Morton, RTI International NISS/SAMSI Affiliates Meeting (closed) Organizer(s): Alan F. Karr, National Institute of Statistical Sciences 7:30 a.m.–6:00 p.m. CC-East Registration Cyber Center

7:30 a.m.–7:30 p.m. CC-East Registration Continuing Education (Fee Events) ASA Membership/Special Assistance/Press Desk CE_01C 7:30 a.m.–7:30 p.m. CC-East Registration Analysis of Multivariate Survival Data JSM Main Registration 8:30 a.m.–5:00 p.m. CC-204 A & B ASA 8:00 a.m.–4:00 p.m. RH-Meeting Room 5 Instructor(s): Philip Hougaard, H. Lundbeck A/S Fostering Diversity in Statistics (closed) Chair(s): Brian Millen, Eli Lilly and Company CE_02C Missing Data in Longitudinal Studies: Strategies for 8:00 a.m.–5:00 p.m. CC-Hall D Bayesian Modeling and Sensitivity Analysis Exhibitor Move-In and Lounge 8:30 a.m.–5:00 p.m. CC-204C ASA, Biometrics Section 9:00 a.m.–12:00 p.m. RH-Renaissance Ballroom West A Instructor(s): Michael J. Daniels, University of Florida; Statisticians Working on Complementary and Alternative Joseph W. Hogan, Brown University Medicine (CAM) Studies Chair(s): Laura Lee Johnson, U.S. Department of Health and CE_03C Human Services Design of Experiments: New Methods and How to Use Them 9:00 a.m.–5:00 p.m. CC-Hall D 8:30 a.m.–5:00 p.m. CC-102A Career Placement Service (job posting and resume ASA, Section on Quality and Productivity submission only) Instructor(s): Douglas C. Montgomery, Arizona State University; Bradley A. Jones, SAS Institute Inc. 10:00 a.m.–6:00 p.m. CC-154A Speaker Management Room CE_04C Longitudinal Data Analysis: Semiparametric and 11:00 a.m.–12:30 p.m. RH-Meeting Room 6 Nonparametric Approaches Annual Meeting of the GCRC Statisticians Lunch (closed) 8:30 a.m.–5:00 p.m. CC-101 Organizer(s): James Grady, Universtiy of Texas Medical Branch ASA, Biometrics Section Instructor(s): Annie Qu, University of Illinois at Urbana Champaign; 12:00 p.m.–1:00 p.m. RH-Meeting Room 4 Peter X.K. Song, University of Michigan ASA Board of Directors Lunch (closed) Chair(s): Sally C. Morton, RTI International CE_05C The Analysis of Cross-Classified Categorical Data 12:00 p.m.–5:30 p.m. CC-East Registration 8:30 a.m.–5:00 p.m. CC-209C ASA Marketplace ASA, Section on Survey Research Methods Instructor(s): Stephen Fienberg, Carnegie Mellon University 34 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

CE_07C Thurs-Sun CE_06C Active Control Clinical Trials Applied Statistical Genetics for Population-Based 8:30 a.m.–5:00 p.m. CC-102B Association Studies ASA 8:30 a.m.–5:00 p.m. CC-209 A & B Instructor(s): Yi Tsong, FDA ASA, Section on Statistics in Epidemiology Instructor(s): Andrea S. Foulkes, University of Massachusetts

sunday, AUGUST 2

Tours 8:00 a.m.–11:00 a.m. CC-Hall D Exhibitor Move-In TR01 - Annapolis: Highlighting the U.S. Naval Academy 8:00 a.m.–11:00 a.m. RH-Meeting Room 3 9:00 a.m.–2:00 p.m. COSGB (closed) TR02 - Historic Tour of Mt. Vernon Chair(s): Janet Buckingham, Southwest Research Institute 10:00 a.m.–2:00 p.m. 8:00 a.m.–12:00 p.m. CC-302 TR04 - Welcome to Washington Tour Advisory Committee on Teacher Enhancement Committee 10:00 a.m.–2:00 p.m. Meeting (closed) Chair(s): Deborah Rumsey, The Ohio State University TR03 - The Kennedys: A Georgetown Walking Tour 10:00 a.m.–2:00 p.m. 8:30 a.m.–12:00 p.m. RH-Meeting Room 4 Annual Meeting of the GCRC Statisticians Organizer(s): James Grady, University of Texas Medical Branch at Galveston Committee/Business Meetings & 9:00 a.m.–10:30 a.m. RH-Meeting Room 7 Other Activities Caucus for Women in Statistics Executive Committee Meeting (closed) 7:00 a.m.–8:30 a.m. RH-Meeting Room 4 Organizer(s): Marcia A. Ciol, University of Washington Annual Meeting of the GCRC Statisticians Breakfast Organizer(s): James Grady, University of Texas Medical Branch 9:00 a.m.–1:00 p.m. CC-205 at Galveston IMS Executive Committee Meeting Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael 7:30 a.m.–9:00 a.m. RH-Meeting Room 7 Steele, IMS President; Nanny Wermuth, IMS President Committee on Women in Statistics Meeting (closed) Chair(s): Mari Palta, University of Wisconsin-Madison 9:00 a.m.–5:00 p.m. RH-Meeting Room 2 NISS/ASA Writing Workshop for Junior Researchers 7:30 a.m.–10:30 a.m. CC-301 Chair(s): Keith Crank, ASA Committee on Publications (closed) Chair(s): David W. Scott, Rice University 9:00 a.m.–5:30 p.m. CC-East Registration ASA Marketplace 7:30 a.m.–8:30 p.m. CC-East Registration JSM Main Registration 11:30 a.m.–2:00 p.m. RH-Meeting Room 5 Statistica Sinica Editorial Board Meeting (closed) 7:30 a.m.–8:30 p.m. CC-East Registration Organizer(s): Jing-Shiang Hwang, Academia Sinica, Taiwan ASA Membership/Special Assistance/Press Desk 11:30 a.m.–2:00 p.m. CC-303 7:30 a.m.–10:30 p.m. CC-East Registration Committee on Committees (closed) Cyber Center Chair(s): Margo Anderson, University of Wisconsin - Milwaukee

Washington, DC 35 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

12:00 p.m.–1:30 p.m. RH-Meeting Room 3 5:00 p.m.–8:00 p.m. RH-Meeting Room 6 Journal of Statistics Education Editorial Board Meeting International Chinese Statistical Association (ICSA) (closed) Board Meeting (closed) Chair(s): William Notz, Technometrics Management Committee Organizer(s): Ming-Hui Chen, University of Connecticut

12:00 p.m.–3:00 p.m. RH-Meeting Room 6 5:30 p.m.–7:00 p.m. CC-303 Annual Meeting of the GCRC Statisticians Lunch (closed) Section on Quality and Productivity Executive Organizer(s): James Grady, University of Texas Medical Branch Committee Meeting at Galveston Chair(s): Martha Gardner, General Electric Global Research

12:30 p.m.–2:00 p.m. RH-Grand Ballroom 5:30 p.m.–8:00 p.m. RH-Meeting Room 7 JSM First-Time Attendee Orientation and Reception Committee on Scientific Freedom and Human Rights Meeting 1:00 p.m.–6:00 p.m. CC-Hall D Chair(s): William Seltzer, Fordham University Career Placement Service (full placement service open) 5:30 p.m.–8:30 p.m. RH-Meeting Room 5 1:00 p.m.–6:00 p.m. CC-Hall D IMS Council I Meeting EXPO 2009 Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael Steele, IMS President; Nanny Wermuth, IMS President 1:00 p.m.–6:00 p.m. CC-Hall D American Statistical Association Booth #101 6:00 p.m.–7:00 p.m. RH-Meeting Room 2 Advisory Committee on Continuing Education 2:00 p.m.–4:30 p.m. CC-2nd Floor Overlook West Presenter Social (closed) COS Annual Business Meeting Chair(s): Xiaoming Sheng, University of Utah Chair(s): Janet Buckingham, Southwest Research Institute 6:00 p.m.–7:30 p.m. RH-Renaissance Ballroom West A 3:30 p.m.–4:30 p.m. CC-301 Cancer Center Biostatistics Directors Annual Meeting The University of North Carolina at Chapel Hill 60th Organizer(s): Terry Hyslop, Thomas Jefferson University Anniversary Planning Committee (closed) Organizer(s): Michael Kosorok, The University of North Carolina 6:00 p.m.–8:00 p.m. RH-Meeting Room 4 at Chapel Hill Committee on Career Development Business Meeting (closed) 4:00 p.m.–5:00 p.m. RH-Meeting Room 3 Chair(s): Janet Myhre, Claremont McKenna College Meeting of Statistics Without Borders Chair(s): James J. Cochran, Louisiana Tech University 6:00 p.m.–8:30 p.m. Off Property Biometrics Section Executive Committee Meeting (closed) 4:00 p.m.–5:30 p.m. CC-3rd Floor East Ear Chair(s): Daniel Heitjan, University of Pennsylvania 2009–2010 Committee Chairs Meeting Chair(s): Margo Anderson, University of Wisconsin, Milwaukee 6:30 p.m.–8:30 p.m. CC-2nd Floor Overlook East Purdue Statistics Department Alumni and Friends 4:00 p.m.–6:00 p.m. CC-205 Reception Career Development Seminar: From Evidence to Policy – Organizer(s): Sandra Howarth, Purdue Univeristy Careers in Government Statistics Chair(s): Janet Myhre, Consultant 7:00 p.m.–8:30 p.m. CC-141 Isolated Statisticians Annual Meeting This event is now scheduled for Tues. Aug. 4 12:00 p.m–2:00 p.m. Off Property Organizer(s): Shonda Kuiper, Grinnell College ENAR Executive Committee Meeting (by invitation only) Organizer(s): Kathy Hoskins, ENAR 8:00 p.m.–10:00 p.m. RH-Meeting Room 3 Google Reception (closed) 5:00 p.m.–6:30 p.m. CC-302 Organizer(s): Lysandra Sapp, Google Section on Statistical Learning and Data Mining Business Meeting 8:00 p.m.–10:30 p.m. RH-Grand Ballroom Chair(s): Joseph S. Verducci, The Ohio State University JSM Opening Mixer

36 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Continuing Education (Fee Events) Invited Sessions 2:00 p.m.–3:50 p.m. Thurs-Sun

CE_01C Analysis of Multivariate Survival Data 1 CC-202A ■ ✪ 8:30 a.m.–5:00 p.m. RH-Renaissance Ballroom West A The Statistical Issues Surrounding ASA Progression-Free Survival in Oncology Drug Instructor(s): Philip Hougaard, H. Lundbeck A/S Development—Invited Biopharmaceutical Section, Biometrics Section CE_08C Organizer(s): William D. Bushnell, GlaxoSmithKline; New Developments of Traditional Multivariate Analyses Rajeshwari Sridhara, FDA 8:30 a.m.–5:00 p.m. RH-Meeting Room 16 Chair(s): Rajeshwari Sridhara, FDA ASA Instructor(s): William B. Smith, Lecot Inc.; Dallas E. Johnson, 2:05 p.m. On Analysis of Progression-Free-Survival— Kansas State University; F. Michael Speed, Texas A&M University ◆Cong Chen, Merck Research Laboratories 2:25 p.m. Interval Censoring in Time-to-Progression Data— CE_09C ◆Zhenming Shun, sanofi-aventis Semiparametric Regression 2:45 p.m. Central Review of Progression-Free Survival 8:30 a.m.–5:00 p.m. RH-Renaissance Ballroom West A in Phase 3 Oncology Trials—◆Ohad Amit, ASA GlaxoSmithKline; Frank Mannino, GlaxoSmithKline Instructor(s): David Ruppert, Cornell University; Ciprian M. 3:05 p.m. Use of Blinded Independent Review for Auditing Crainiceanu, Johns Hopkins University; Raymond J. Carroll, Purposes—◆Lori Dodd, National Cancer Institute Texas A&M University 3:25 p.m. Impact of Variability in Progression Assessments on Type I and Type II Errors—◆Shenghui Tang, CE_10C FDA; Xiaoping Jiang, FDA; Kun He, FDA; Tolerance Intervals: Theory, Applications, and Computation Rajeshwari Sridhara, FDA 8:30 a.m.–5:00 p.m. RH-Meeting Rooms 10 & 11 3:45 p.m. Floor Discussion ASA, Section on Physical and Engineering Sciences Instructor(s): Thomas Mathew, University of Maryland, Baltimore County; Kalimuthu Krishnamoorthy, University of Louisiana-Lafayette 2 CC-155 ■ Efficient Methods for the Analysis of Spatial CE_11C Data: Computing and Application—Invited Model-Based Survey Sampling: Theory and Practice Section on Statistical Computing, Section on Bayesian 8:30 a.m.–5:00 p.m. RH-Meeting Room 15 Statistical Science, Section on Statistics and the Environment, ASA, Section on Survey Research Methods Interface Foundation of North America Instructor(s): Alan H. Dorfman, Bureau of Labor Statistics; Organizer(s): Brian J. Smith, The University of Iowa Richard Valliant, University of Michigan Chair(s): Jacob J. Oleson, The University of Iowa

CE_12C 2:05 p.m. Efficient Methods for the Analysis of Spatial Data: Hierarchical Modeling and Analysis of Spatial-Temporal Computing and Application—◆Murali Haran, Data: Emphasis in Forestry, Ecology, and Environmental Penn State University Sciences 2:30 p.m. Reparameterized and Marginalized Posterior 8:30 a.m.–5:00 p.m. RH-Meeting Rooms 8 & 9 and Predictive Sampling for Complex Bayesian ASA, Section on Bayesian Statistical Science Geostatistical Models—◆Mary K. Cowles, Instructor(s): Sudipto Banerjee, The University of Minnesota; The University of Iowa; Jun Yan, University of Andrew Finley, Michigan State University Connecticut; Brian J. Smith, The University of Iowa 2:55 p.m. Ramps: An R Package for Unified Geostatistical CE_13C Modeling of Complex Spatio-Temporal Data— Models for Discrete Repeated Measures ◆Brian J. Smith, The University of Iowa; Jun Yan, 8:30 a.m.–5:00 p.m. RH-Meeting Rooms 12,13,14 University of Connecticut ASA 3:20 p.m. Combining Data for Efficient Prediction of the Instructor(s): Geert Molenberghs, Hasselt University/Katholieke Spatial Distribution of Iowa Residential Radon Universiteit Leuven; Geert Verbeke, Katholieke Universiteit Leuven Levels—◆Jun Yan, University of Connecticut; Mary K. Cowles, The University of Iowa; Brian J. Smith, The University of Iowa 3:45 p.m. Floor Discussion

Washington, DC 37 You are invited to the First-Time Attendee Orientation and Reception

Renaissance Washington, DC, Hotel Grand Ballroom Sunday, August 2, 12:30 p.m. – 2:00 p.m.

Open to All First-Timers

Learn how to get the most out of your first JSM experience, meet new people, and network.

This reception is sponsored by the ASA, ENAR, IMS, SSC, WNAR, and the Caucus for Women in Statistics GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:25 p.m. Making a Difference: Providing Statistical Support 3 CC-209B Thurs-Sun ◆ ■ for NIH-Sponsored Clinical Trials— Marian Ewell, Recent Advances in Bayesian Model The EMMES Corporation Selection—Invited 2:45 p.m. The Gertrude Cox Race—◆Stephanie Shipp, Section on Bayesian Statistical Science Science and Technology Policy Institute Organizer(s): Hani Doss, University of Florida 3:05 p.m. Statistics in a Multidisciplinary Environment— Chair(s): Michael J. Daniels, University of Florida ◆Julia L. Bienias, Consultant 3:25 p.m. The Gertrude Cox Scholarship: Then and Now— 2:05 p.m. Sequential Bayesian Model Selection— ◆Holly B. Shulman, CDC ◆David Madigan, Columbia University 3:45 p.m. Floor Discussion 2:35 p.m. Estimation of Large Families of Bayes Factors from Markov Chain Output—◆Hani Doss, University of Florida 3:05 p.m. Approaches to Model Selection Using BART— 6 CC-150B ◆Hugh Chipman, Acadia University ■ The Use of Paradata in Federal Government 3:35 p.m. Floor Discussion Surveys—Invited Section on Government Statistics, Section on Survey Research Methods, Social Statistics Section Organizer(s): James M. Dahlhamer, National Center for 4 CC-204B Health Statistics ■ ✪ Innovative Visualization Tools: A Way to Chair(s): Nancy Bates, U.S. Census Bureau Engage Citizens and Influence Policy—Invited International Statistical Institute, Social Statistics Section, Section 2:05 p.m. Modeling the Difference in Interview Characteristics on Statistical Graphics, Section on Government Statistics, Interface for Different Respondents—◆John Dixon, Bureau of Foundation of North America Labor Statistics Organizer(s): Juana Sanchez, University of California, 2:25 p.m. An Evaluation of Nonresponse Bias Using Paradata Los Angeles; Enrico Giovannini, Organization for Economic from a Health Survey—◆Aaron Maitland, National Cooperation & Development Center for Health Statistics; Carolina Casas-Cordero, Chair(s): Irina Kukuyeva, University of California, Los Angeles University of Maryland; Frauke Kreuter, University of Maryland 2:05 p.m. Wikis, Dynamic Charts, Videos, and Other 2:45 p.m. Use of Paradata to Manage a Field Data Innovative Tools to Transform Statistics Into Collection—◆Robert Groves, University of Michigan; Knowledge—◆Enrico Giovannini, Organization for William Axinn, University of Michigan; James Economic Cooperation & Development Lepkowski, University of Michigan; Nicole Kirgis, 2:35 p.m. BalatonTrend: A Multimodal Approach to Visualizing University of Michigan; William Mosher, National and Communicating Regional Trends Related Center for Health Statistics to Vulnerability and Adaptation—◆László Pintér, 3:05 p.m. Using the Fraction of Missing Information to Monitor International Institute for Sustainable Development; the Quality of Survey Data—◆James Wagner, Livia Bizikova, International Institute for Sustainable University of Michigan Development 3:25 p.m. Subunit Nonresponse in the National Health 3:05 p.m. Visualizing Statistics in the Netherlands— Interview Survey (NHIS): An Exploration Using ◆Edwin de Jonge, Statistics Netherlands Paradata—◆James M. Dahlhamer, National Center 3:35 p.m. Floor Discussion for Health Statistics; Catherine M. Simile, National Center for Health Statistics 3:45 p.m. Floor Discussion 5 CC-141 The Gertrude Cox Scholarship: 20 Years of Recognizing Young Women in Statistics—Invited Caucus for Women in Statistics, Social Statistics Section Organizer(s): Holly B. Shulman, CDC Chair(s): Marcia A. Ciol, University of Washington

2:05 p.m. Methods for Designing Observational Studies from Public Policy to Public Health—◆Elizabeth A. Stuart, Johns Hopkins Bloomberg School of Public Health

Washington, DC 39 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

7 CC-207B 9 CC-143B ■ ✪ Statistics in the Beltway: From Data to ✪ Doubly Robust Estimation for Empirical Policy—Invited Policymaking—Invited Washington Statistical Society, Section on Survey Research Section on Statistical Consulting, Section on Government Statistics Methods, Social Statistics Section, Section on Organizer(s): Eric J. Tchetgen, Harvard University Government Statistics Chair(s): James Robins, Harvard School of Public Health Organizer(s): Karol Krotki, RTI International Chair(s): Karol Krotki, RTI International 2:05 p.m. Efficient, Stable, and Doubly Robust Estimation with Inverse Weighting—◆Zhiqiang Tan, 2:05 p.m. Use of Statistics at the Centers for Disease Control Rutgers University and Prevention and National Cancer Institute: 2:30 p.m. Doubly Robust Ecological Inference—◆Daniel Estimation of the Number of Deaths Associated Rubin, University of California, Berkeley; Mark J. with Body Weight—◆Barry I. Graubard, National van der Laan, University of California, Berkeley Cancer Institute; Katherine Flegal, National Center for Health Statistics; David Williamson, Emory 2:55 p.m. Logistic Regression in a Semiparametric Model for ◆ University; Mitchell H. Gail, National Cancer Institute Case-Control Data— Eric J. Tchetgen, Harvard University; Andrea Rotnitzky, Universidad Di Tella 2:35 p.m. How Numbers Rule: Pitfalls and Practicalities from and Harvard University; James Robins, Harvard Health Policy—◆Joshua Wiener, RTI International School of Public Health 3:05 p.m. Using Statistical Analyses to Inform Congressional 3:20 p.m. Double-Robust and Efficient Methods for Estimating Decisions—◆Nancy Kingsbury, U.S. Government the Causal Effects of a Binary Treatment— Accountability Office ◆Andrea Rotnitzky, Universidad Di Tella and 3:35 p.m. Floor Discussion Harvard University; James Robins, Harvard School of Public Health; Mariela Sued, Universidad de Buenos Aires; Quanhong Lei-Gomez, Harvard School of Public Health 8 CC-202B 3:45 p.m. Floor Discussion Survival Methods for Robustly Modeling Time-Varying Covariate Effects—Invited WNAR, Section on Bayesian Statistical Science, Biometrics Section, Biopharmaceutical Section 10 CC-209A Organizer(s): Scott Emerson, University of Washington Inference for Orderings: Far-Reaching Chair(s): Scott Emerson, University of Washington Extensions of Kendall’s Tau—Invited IMS 2:05 p.m. Bayesian Nonparametric Survival Regression Organizer(s): Joseph S. Verducci, The Ohio State University Modeling and Inference: A Tale of Handling Chair(s): Doug Wolfe, The Ohio State University Survival Curves That Cross—◆Gary L. Rosner, The University of Texas M.D. Anderson Cancer Center; 2:05 p.m. Nonparametric Estimation and Survey Design for Wesley O. Johnson, University of California, Irvine; Preference Data—◆Guy Lebanon, Georgia Institute Maria DeIorio, Imperial College; Peter Müller, The of Technology University of Texas M.D. Anderson Cancer Center 2:35 p.m. The Tau-Path Test: A Generalization of Kendall’s 2:35 p.m. Inference for Arbitrary Functionals of Survival— Tau Statistic to Test Subpopulation Association— ◆Kyle Rudser, The University of Minnesota; Michael ◆Li Yu, The Ohio State University; Joseph S. LeBlanc, University of Washington; Scott Emerson, Verducci, The Ohio State University University of Washington 3:05 p.m. Consensus Ranking Under the Exponential 3:05 p.m. Censoring Robust Semiparametric Estimators Model—◆Meila Marina, University of Washington of Treatment Effects in Regression Models with Censored Data—◆Adam Boyd, University of 3:35 p.m. Floor Discussion California, Denver 3:35 p.m. Floor Discussion

40 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:05 p.m. Statistical Methods for Analysis of Genomic 11 CC-207A Thurs-Sun Data with Graphic Structure—◆Caiyan Li, IMS Medallion Lecture I—Invited University of Pennsylvania IMS 3:25 p.m. Understanding Protein Function on a Organizer(s): Xiaotong Shen, The University of Minnesota Genome-Scale Using Networks— Chair(s): Bin Yu, University of California, Berkeley ◆Mark Gerstein, Yale University 3:45 p.m. Floor Discussion 2:05 p.m. Statistics for High-Dimensional Data: Toward More Reliable Results—◆Peter Buhlmann, ETH Zurich 3:30 p.m. Floor Discussion 14 CC-144B ■ ✪ Data Confidentiality: Do We Really Want to Disturb a Sleeping Bear?—Topic-Contributed Invited Panels 2:00 p.m.–3:50 p.m. Section on Health Policy Statistics, Section on Government Statistics, Section on Survey Research Methods 12 CC-150A Organizer(s): Ofer Harel, University of Connecticut Chair(s): Ofer Harel, University of Connecticut ■ ✪ Building Statistical Capacity Globally— Invited 2:05 p.m. Bayesian Multiscale Multiple Imputation with Social Statistics Section, Section on Survey Research Methods, Implications to Data Confidentiality—Scott Holan, Section on Government Statistics University of Missouri-Columbia; Daniell Toth, Organizer(s): Nilupa S. Gunaratna, International Bureau of Labor Statistics; ◆Marco A.R. Ferreira, Nutrition Foundation University of Missouri-Columbia; Alan F. Karr, Chair(s): Stephen Pierson, ASA National Institute of Statistical Sciences 2:25 p.m. Summary of Methods and Preliminary Assessment Panelists: ◆Fritz Scheuren, NORC at the University of Chicago of the SIPP Synthetic Beta, Version 5.0—◆Gary ◆Juanita Tamayo Lott, Tamayo Lott Associates Benedetto, U.S. Census Bureau; Martha Stinson, U.S. Census Bureau; Melissa Bjelland, Cornell University ◆James J. Cochran, Louisiana Tech University 2:45 p.m. Responsible Data Releases—◆Sanguthevar ◆Siobhan Carey, Central Statistics Office Rajasekaran, University of Connecticut; Ofer Harel, 3:45 p.m. Floor Discussion University of Connecticut; Michael Zuba, University of Connecticut; Gregory Matthews, University of Connecticut; Rob Aseltine, University of Connecticut Health Center 3:05 p.m. Examining the Robustness of Fully Synthetic Topic-Contributed Sessions Data Techniques for Data with Binary Variables— 2:00 p.m.–3:50 p.m. ◆Gregory Matthews, University of Connecticut; Ofer Harel, University of Connecticut; Rob Aseltine, University of Connecticut Health Center 13 CC-101 3:25 p.m. Disc: Rob Aseltine, University of Connecticut Graphical and Network-Based Models: Health Center Applications in Bioinformatics— 3:45 p.m. Floor Discussion Topic-Contributed Biometrics Section, Section on Statistics in Defense and National Security, Interface Foundation of North America Organizer(s): Sujay Datta, Fred Hutchinson Cancer Research Center 15 CC-143A Chair(s): Sujay Datta, Fred Hutchinson Cancer Research Center Nonlinear Time Series in Economics and Finance—Topic-Contributed 2:05 p.m. Estimating Counts for Queries Without Accessing a Business and Economic Statistics Section Database—◆Kyongryun Lee, Iowa State University Organizer(s): Michael Levine, Purdue University 2:25 p.m. Hidden Process Models with Applications to Chair(s): Bo Li, Purdue University fMRI Data—◆Rebecca Hutchinson, Oregon State University 2:05 p.m. Semiparametric Estimation of ARCH(8) Model— 2:45 p.m. Inferring Network Sstructure Using ◆Li (Lily) Wang, The University of Georgia; Bayesian Structure Learning Techniques— Jianhua Huang, Texas A&M University; ◆Radhakrishnan Nagarajan, University of Lijian Yang, Michigan State University Arkansas for Medical Sciences

Washington, DC 41 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:25 p.m. Extended Tapered Block Bootstrap for Time 17 CC-102B ◆ Series— Xiaofeng Shao, University of Illinois at ■ Urbana-Champaign Propensity Scores and Bayesian Methods for Historical Controls and Observational Studies— 2:45 p.m. Testing the Linearity Hypothesis in Nonlinear Autoregression—◆Michael Levine, Topic-Contributed Purdue University Biopharmaceutical Section, Section on Statistics in Epidemiology, Section on Health Policy Statistics, Section on Statistics in Defense 3:05 p.m. Investigating Dependence Between Time Series— and National Security, Section on Bayesian Statistical Science ◆Hernando Ombao, Brown University Organizer(s): Cindy Yang, FDA 3:25 p.m. Disc: Zhengjun Zhang, University of Wisconsin Chair(s): Gosford A. Sawyerr, Purdue Pharma, LP 3:45 p.m. Floor Discussion 2:05 p.m. Power Priors for Adaptive Incorporation of Historical Information in Clinical Trials—◆Brad Carlin, The University of Minnesota; Brian Hobbs, The 16 CC-159B University of Minnesota ■ ✪ Multi-Scale Methods in Statistics— 2:25 p.m. Describing the Risk of Drug-Specific Toxicities Topic-Contributed Using Cohort Data: To What Extent Can Section on Nonparametric Statistics Associations Be Explained by Channelling or Organizer(s): Thomas C.M. Lee, Chinese University of Hong Kong/ Other Forms of Bias?—◆Caroline Sabin, Colorado State University University College London Chair(s): Fang Yao, University of Toronto 2:45 p.m. The Performance of Propensity Score Adjustment with Random Covariate for Estimating Treatment Effect in Drug Eluting Stent Data—◆Yun Lu, Boston 2:05 p.m. Generalized Fiducial Inference for Wavelet Scientific Corporation; Aijun Song, Boston Scientific Regression—◆Jan Hannig, The University of North Corporation; Wei Xu, Boston Scientific Corporation; Carolina at Chapel Hill; Thomas C.M. Lee, Chinese Yongyi (Alan) Yu, Boston Scientific Corporation University of Hong Kong/Colorado State University 3:05 p.m. Comparing Covariates Selection in Propensity 2:25 p.m. Extension of Hilbert-Huang Transform to Statistical Score Modeling: A Simulation Study—◆Jian Problems—◆Hee-Seok Oh, Seoul National Huang, Boston Scientific Corporation; Alan Yu, University; Donghoh Kim, Sejong University Boston Scientific Corporation; Lan Pan, Boston 2:45 p.m. Probabilistic Modeling and Statistical Inference for Scientific Corporation Computer Network Traffic—Stilian Stoev, University 3:25 p.m. Propensity Scores in Observational Studies— of Michigan; ◆George Michailidis, University of ◆Michael Gaffney, Pfizer Inc.; Jack Mardekian, Michigan; Joel Vaughan, University of Michigan Pfizer Inc. 3:05 p.m. Improved SiZer for Time Series—◆Cheolwoo 3:45 p.m. Floor Discussion Park, The University of Georgia; Jan Hannig, The University of North Carolina at Chapel Hill; Kee-Hoon Kang, Hankuk University of Foreign Studies 3:25 p.m. A Self-Consistency Approach to Wavelet 18 CC-209C Regression with Irregularly Spaced Data— ■ ✪ Hot Research Projects: A Taste of the ◆Thomas C.M. Lee, Chinese University of Hong Future for Future Government Statisticians— Kong/Colorado State University; Xiao-Li Meng, Topic-Contributed Harvard University Section on Government Statistics, Section on Survey 3:45 p.m. Floor Discussion Research Methods Organizer(s): Kevin Cecco, IRS Chair(s): Kevin Cecco, IRS

2:05 p.m. OnTheMap: An Innovative Mapping Tool— ◆Matthew Graham, U.S. Census Bureau; Heath Hayward, U.S. Census Bureau 2:25 p.m. Statistical Consulting Within the Internal Revenue Service—◆Ronald Walsh, IRS Statistics of Income; Rachael Hooker, IRS Statistics of Income 2:45 p.m. Recent Developments in Internet Data Collection Methods Used at EIA—◆Grace E. ONeill, Energy Information Administration

42 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:05 p.m. A Fresh Approach to Agricultural Statistics: 2:25 p.m. Using Super Learner for Robust Model Selection in Thurs-Sun Data Mining and Remote Sensing—◆Darcy A. Causal Effect Estimation—◆Eric Polley, University Miller, National Agricultural Statistics Service; of California, Berkeley; Mark J. van der Laan, Jaki McCarthy, National Agricultural Statistics University of California, Berkeley Service; Audra Zakzeski, National Agricultural 2:45 p.m. Targeted Methods for Biomarker Discovery: Statistics Service The Search for a Standard—◆Catherine Tuglus, 3:25 p.m. Disc: Nancy Gordon, U.S. Census Bureau University of California, Berkeley; Mark J. 3:45 p.m. Floor Discussion van der Laan, University of California, Berkeley 3:05 p.m. High-Dimensional Propensity Score Adjustment in Studies of Drug Treatment Effects Using Health Care Claims Data—◆Jeremy Rassen, Harvard 19 CC-149B University; M. Alan Brookhart, Brigham and Women’s Hospital/Harvard Medical School; The Impact of Mode and Other Factors on Data Robert J. Glynn, Brigham and Women’s Hospital; Quality—Topic-Contributed Jerry Avorn, Harvard University; Helen Mogun, Section on Survey Research Methods Harvard University; Sebastian Schneeweiss, Organizer(s): Maxine M. Denniston, CDC Harvard University Chair(s): Andrew White, National Center for Education Statistics 3:25 p.m. Targeted Maximum Likelihood Estimation of Treatment-Specific Survival Curve with Right- 2:05 p.m. The Effect of Unbounded Interviews on Differential Censored Data and Covariates in Observational ◆ Recall—◆Eve M. Waltermaurer, State University of Studies— Farid Jamshidian, University of New York in New Paltz; Louise-Anne McNutt, State California, Berkeley; Ori M. Stitelman, University University of New York at Albany of California, Berkeley; Alan Hubbard, University of California, Berkeley; Mark J. van der Laan, 2:25 p.m. Correlates of Data Quality in the Consumer University of California, Berkeley Expenditure Quarterly Interview Survey— ◆Jennifer Edgar, Bureau of Labor Statistics; 3:45 p.m. Floor Discussion Jeffrey Gonzalez, Bureau of Labor Statistics 2:45 p.m. Comparison of Web-Based versus Paper-and-Pencil Administration of the YRBS: Participation, Data Quality, and Perceived Privacy and Confidentiality 21 CC-143C by Mode of Data Collection—◆Maxine M. Building Emulators for Computer Models: Denniston, CDC; Nancy D. Brener, CDC; Laura Interface Between Statistics and Applied Kann, CDC; Danice K. Eaton, CDC; Tim McManus, Statistics—Topic-Contributed CDC; Tonja M. Kyle, Macro International, Inc.; Alice Section on Physical and Engineering Sciences, Section on M. Roberts, Macro International, Inc.; Katherine Statistics in Defense and National Security, Section on Quality H. Flint, Macro International, Inc.; James G. Ross, and Productivity, Interface Foundation of North America Macro International, Inc. Organizer(s): C.F. Jeff Wu, Georgia Institute of Technology 3:05 p.m. Mode Effects and Data Quality on a Survey of New Chair(s): Ying Hung, Rutgers University Businesses—◆David DesRoches, Mathematica Policy Research, Inc. 3:25 p.m. Disc: Scott Fricker, Bureau of Labor Statistics 2:05 p.m. Treed Gaussian Processes for Computer Model Emulation—◆Herbert Lee, University of California, 3:45 p.m. Floor Discussion Santa Cruz; Robert B. Gramacy, University of Cambridge 2:25 p.m. A Surrogate-Assisted Method Using Adaptive Multi-Accurate Function—◆Ray-Bing Chen, National 20 CC-204C University of Kaohsiung; Weichung Wang, National Machine Learning–Based Causal Inference: Taiwan University; Hsu Chia-Lung, National Toward Robust Black-Box Algorithms for Causal University of Kaohsiung Effects That Preserve Meaningful Statistical 2:45 p.m. G-SELC: Optimization by Sequential Elimination Inference—Topic-Contributed of Level Combinations Using Genetic Algorithms ◆Abhyuday Mandal, Section on Statistics in Epidemiology and Gaussian Processes— The University of Georgia; Pritam Ranjan, Acadia Organizer(s): Alan Hubbard, University of California, Berkeley University; C.F. Jeff Wu, Georgia Institute Chair(s): Alan Hubbard, University of California, Berkeley of Technology 3:05 p.m. Design and Analysis of Computer Experiments with 2:05 p.m. Collaborative Targeted Maximum Likelihood Grouped Factors—◆Jin Xu, East China Normal Estimation—◆Susan Gruber, University of University; Peter Z.G. Qian, University of California, Berkeley; Mark J. van der Laan, Wisconsin-Madison University of California, Berkeley

Washington, DC 43 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:25 p.m. Nested Latin Hypercube Designs—◆Peter Z.G. Qian, University of Wisconsin-Madison Contributed Sessions 3:45 p.m. Floor Discussion 2:00 p.m.–3:50 p.m.

24 CC-203A Variable Selection and Missing Data Methods Topic-Contributed Panels for Longitudinal Outcomes—Contributed 2:00 p.m.–3:50 p.m. Biometrics Section, Section on Bayesian Statistical Science Chair(s): Daniel F. Heitjan, University of Pennsylvania 22 CC-144A ■ Proposal Writing Workshop for Grant 2:05 p.m. Latent Class Joint Model of Ovarian Function Suppression and DFS for Premenopausal Breast Applications to the National Science Cancer Patients—◆Jing (Jenny) Zhang, Harvard Foundation—Topic-Contributed University; Molin Wang, Dana Farber Cancer Section on Statistical Education, Section on Government Statistics Institute and Harvard University Organizer(s): Ginger H. Rowell, National Science Foundation 2:20 p.m. Evaluating Binning for Analyzing Mixed Longitudinal Chair(s): Pam Arroway, North Carolina State University Data Measured at Distinct Time Points: A Simulation Study—◆Xiaoqin Xiong, University of Waterloo; Panelists: ◆Ginger H. Rowell, National Science Foundation Joel A. Dubin, University of Waterloo ◆Dan Maki, National Science Foundation 2:35 p.m. Bayesian Inference of Incomplete Longitudinal Data: A Simple Method to Assess Sensitivity to ◆Lee Zia, National Science Foundation Nonignorable Dropout—◆Hui Xie, University 3:45 p.m. Floor Discussion of Illinois 2:50 p.m. Exploratory Longitudinal Factor Analysis— ◆Sherry Lin, University of California, Los Angeles 3:05 p.m. Variable Selection in Additive Mixed Models for 23 CC-206 Longitudinal Data—◆Daowen Zhang, North Carolina ■ ✪ Guiding Young Professionals to Be State University Successful in Government, Academia, 3:20 p.m. Marginal Methods for the Analysis of Longitudinal and Industry—Topic-Contributed Data Arising in Clusters with Missing Covariates— Committee on Career Development, Section on Government ◆Baojiang Chen, University of Washington; Grace Yi, Statistics, Section on Survey Research Methods University of Waterloo; Richard Cook, University of Organizer(s): Subir Ghosh, University of California, Riverside Waterloo; Xiao-Hua (Andrew) Zhou, University of Washington Chair(s): Amarjot Kaur, Merck & Co., Inc. 3:35 p.m. Floor Discussion Panelists: ◆Dean Follmann, National Institute of Allergy and Infectious Diseases ◆Nancy Geller, National Heart, Lung, and Blood Institute 25 CC-203B ◆Jagbir Singh, Temple University Meta-Analysis, Sensitivity Analysis, and Latent ◆Sujit Ghosh, North Carolina State University Variables—Contributed ◆Mani Y. Lakshminarayanan, Merck & Co., Inc. Biometrics Section, Section on Bayesian Statistical Science 3:45 p.m. Floor Discussion Chair(s): Charles Contant, TIMI Study Group

2:05 p.m. Bayesian Model-Averaging in Meta-Analysis: Vitamin E Supplementation and Mortality—◆J. Kyle Wathen, The University of Texas M.D. Anderson Cancer Center; Donald A. Berry, The University of Texas M.D. Anderson Cancer Center 2:20 p.m. Multiple-Outcome Meta-Analysis Methods: Application to Orthopedics Research— ◆Yan Ma, Weill Medical College of Cornell University; Madhu Mazumdar, Weill Medical College of Cornell University

44 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:35 p.m. Retrieving Optimal Information from Parallel Data 3:35 p.m. Pseudo Maximum Likelihood Approach for Thurs-Sun Using A Mean Coverage Controlled Procedure— Multivariate Longitudinal Data Analysis Subject to ◆Peter Hu, Merck & Co., Inc.; Peggy Wong, Left-Censoring—◆Ghideon Ghebregiorgis, FDA; Merck & Co., Inc. Lisa A. Weissfeld, University of Pittsburgh 2:50 p.m. The Multivariate Linear Path Model Embedded in the Multiple Indicator and Multiple Causes Model— ◆Youngju Pak, University of Missouri-Columbia; Randy L. Carter, State University of New York 27 CC-102A at Buffalo ■ Adaptive Group Sequential Designs in Drug 3:05 p.m. Sensitivity of Logistic and Log-Linear Models in and Vaccine Development—Contributed Analysis of Case-Mother/Control-Mother Designs— Biopharmaceutical Section ◆Jingyuan Yang, The Ohio State University; Chair(s): Phillip Dinh, FDA Shili Lin, The Ohio State University 3:20 p.m. Biological Plausibility-Compliance Average Causal Effect Instead of Per Protocol in the Prevention of 2:05 p.m. Performance Evaluation of Some Sequential Testing Perinatal Sepsis Randomized Control Trial, South Methods with Applications to Vaccine Safety ◆ Africa—◆Elizabeth R. Zell, CDC; Locadiah Kuwanda, Monitoring— Linmin Gan, Virginia Polytechnic Respiratory and Meningeal Pathogen Research Unit; Institute and State University; William H. Woodall, Donald B. Rubin, Harvard University Virginia Polytechnic Institute and State University; Jie Chen, Merck & Co., Inc. 3:35 p.m. Recurrent Marker Process Before an Informative Failure Event: A Backward Process Model— 2:20 p.m. Stopping Boundaries of Flexible Sample Size ◆ ◆Kwun Chuen (Gary) Chan, University of Design with Flexible Trial Monitoring— Yi He, Washington; Mei-Cheng Wang, Johns Hopkins sanofi-aventis; Zhenming Shun, sanofi-aventis; Bloomberg School of Public Health Yijia Feng, Penn State University 2:35 p.m. A Group Sequential Design with Potential Futility Stop and Sample Size Adjustment—◆Xiao J. Sun, Merck Research Laboratories; Joshua Chen, Merck 26 CC-201 Research Laboratories; Kuang-Kuo (Gordon) Lan, Johnson & Johnson PRD ■ Bayesian and Adaptive Methods in Clinical Trials—Contributed 2:50 p.m. Finding Critical Values with Prefixed Early Stopping Boundaries and Controlled Type I Error for a Two- Biopharmaceutical Section, Section on Bayesian Stage Adaptive Design—◆Jingjing Chen, Temple Statistical Science University; Sanat Sarkar, Temple University; Frank Chair(s): Eunhee Hwang, Wyeth Research Bretz, Norvartis, Switzerland 3:05 p.m. Comparison of the Branching Group Sequential 2:05 p.m. Performance of the Bayesian Bootstrap in Two Design with Frequent Adaptation Methods in an Adaptive Clinical Trials—◆Les Huson, Cmed Equivalence Study—◆Yevgen Tymofyeyev, Merck Research, UK & Co., Inc.; James A. Bolognese, Cytel, Inc.; Keaven 2:20 p.m. Bayesian Approaches to Multiple Endpoints— Anderson, Merck & Co., Inc. ◆Kimberly Crimin, Wyeth Research; Robb 3:20 p.m. Implementation Issues of Randomization Schemes Muirhead, Pfizer Inc.; Andrew Grieve, for Adaptive Clinical Trials—◆Weili He, Merck & Co., King’s College London Inc.; Frank (Xiaoyin) Fan, Merck & Co., Inc.; Yevgen 2:35 p.m. A Bayesian Approach for Tailored Therapy— Tymofyeyev, Merck & Co., Inc.; Olga M. Kuznetsova, ◆Haoda Fu, Eli Lilly and Company Merck & Co., Inc.; Vikas Patel, Merck & Co., Inc. 2:50 p.m. Interim Treatment Selection with a Flexible Selection 3:35 p.m. Adaptive Dropping Arm Design: Probability Margin in Clinical Trial—◆Yujun Wu, sanofi-aventis; Models and Decision Rules—Yili L. Pritchett, Peng-Liang Zhang, sanofi-aventis Abbott Laboratories; Shu Han, Abbott Laboratories; ◆Shihua Wen, Abbott Laboratories 3:05 p.m. Bayesian Phase I/II Drug-Combination Trial Design in Oncology—◆Ying Yuan, The University of Texas M.D. Anderson Cancer Center; Guosheng Yin, The University of Texas M.D. Anderson Cancer Center 3:20 p.m. Development of a Statistical Methodology to Identify Appropriate Historical Controls for Rare Disease Therapies Using Information Generated from the Peer-Reviewed Scientific Literature— ◆Jessica (Jeongsook) L. Kim, FDA; Jean (Chinying) Wang, FDA; Charles Maplethorpe, FDA

Washington, DC 45 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

28 CC-204A 3:20 p.m. Fractals, Multifractals, and Wavelets for Modeling Model Selection Applications—Contributed the Data Arising in Experimental Musicology and the Clustering of Musical Performances— ENAR ◆Makarand V. Ratnaparkhi, Wright State University Chair(s): Guolian Kang, The University of Alabama at Birmingham 3:35 p.m. Is Each NPMLE of a Continuous Bivariate Distribution Function with Singly Right-Censored 2:05 p.m. Finding Sequence Motifs with Bayesian Models Data Really Inconsistent?—◆Qiqing Yu, Incorporating Positional Information—◆Nak-Kyeong Binghamton University; Chingfu Sen, National Kim, Old Dominion University; John L. Spouge, The SunYat-sen University; Jinlong Huang, National National Center for Biotechnology Information Sun Yat-sen University; Chinsan Lee, Shu-Te 2:20 p.m. Analysis of Mediation by Least Squares— University of Technology ◆David Reboussin, Wake Forest University School of Medicine 2:35 p.m. Estimation Approaches for Discretely Observed Age-Dependent Branching Processes—◆Rui Chen, 30 CC-157 University of Rochester Medical Center; Ollivier Nonparametric Smoothing—Contributed Hyrien, University of Rochester Section on Nonparametric Statistics 2:50 p.m. Selecting Variable Selection Methods for Chair(s): Tom Wehrly, Texas A&M University Association Studies—◆Lin Li, Cornell University; Carlos Bustamante, Cornell University 2:05 p.m. Spline-Backfitted Kernal Smoothing of Partially 3:05 p.m. Estimation of Haplotype Effects in Case-Control Linear Additive Model—◆Shujie Ma, Michigan State Studies via Variable Selection: Prospective vs. University; Lijian Yang, Michigan State University ◆Megan Koehler, North Retrospective Analysis— 2:20 p.m. A Multivariate Likelihood-Tuned Density Estimator— Carolina State University Jung-Ying Tzeng, North ; ◆Yeojin Chung, Penn State University; Bruce G. Carolina State University Lindsay, Penn State University 3:20 p.m. Inconsistent Resampling Methods and 2:35 p.m. An Efficient Estimator for an Additive Quantile ◆Mihan C. Giurcanu, University Remedies— Regression Model—◆Dawit Zerom, California of Louisiana-Lafayette State University, Fullerton 3:35 p.m. Floor Discussion 2:50 p.m. Changepoint Distribution Estimation in Animal Learning Experiments—◆Xiaodong Li, Columbia University; Daniel Rabinowitz, Columbia University 3:05 p.m. Nonparametric Test for Changepoint in Variance 29 CC-159A Function—◆Kee-Hoon Kang, Hankuk University Miscellaneous Theory I—Contributed of Foreign Studies; Jib Huh, Duksung IMS Woman’s University Chair(s): Runlong Tang, University of Michigan 3:20 p.m. Minimum Distance Conditional Variance Function Checking—◆Weixing Song, Kansas State University; 2:05 p.m. Composition Confidence Intervals Offer Better Nishantha Samarakoon, Kansas State University Coverage Than the Delta Method—◆Paul Duty, 3:35 p.m. Multivariate Kernel Smoothing with Unconstrained Montgomery College; Nancy Flournoy, University Bandwidth Matrices—◆José E. Chacón, Universidad of Missouri-Columbia de Extremadura 2:20 p.m. Confidence Limits and Prediction Limits for a Weibull Distribution Based on the Generalized Variable Approach—◆Yanping Xia, Southeast Missouri State University; Kalimuthu 31 CC-160 Krishnamoorthy, University of Louisiana-Lafayette; Data Mining in Graphs and Networks— Yin Lin, University of Louisiana-Lafayette Contributed 2:35 p.m. Confidence Bounds for Multiplicative Section on Statistical Learning and Data Mining, Interface Comparisons—◆John Ennis, The Institute Foundation of North America for Perception Chair(s): Xingye Qiao, The University of North Carolina at 2:50 p.m. Data-Based Assessment of Asymptotic Label Chapel Hill Identifiability in Mixture Models—◆Daeyoung Kim, University of Massachusetts Amherst; Bruce G. ◆ Lindsay, Penn State University 2:05 p.m. Multi-Mode Networks— Walid Sharabati, Purdue University; Yasmin Said, George Mason University; 3:05 p.m. Distributions That Approximately Follow Benford’s Edward J. Wegman, George Mason University and Other Digit Laws—◆Adam Petrie, The University of Tennessee

46 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:20 p.m. Empirical Stationary Correlations for 33 CC-144C Thurs-Sun Semi-Supervised Learning on Graphs— ◆Ya Xu, Stanford University Variance Estimation in Complex Surveys— Contributed 2:35 p.m. Penalized Likelihood Methods for Estimation Section on Survey Research Methods of Directed Acyclic Graphs with Applications to Biological Networks—◆Ali Shojaie, University of Chair(s): Wendy Barboza, USDA, NASS, RDD Michigan; George Michailidis, University of Michigan 2:50 p.m. Norm Dependence in Regularized Estimation of 2:05 p.m. Estimated-Control Post-Stratified Variance Large Covariance Matrices—◆Iain Johnstone, Estimators for Proportions—◆Jill A. Dever, Stanford University RTI International; Richard Valliant, University of Michigan 3:05 p.m. A Bayesian Model of Smoothing and Connectivity for Event-Related fMRI Time Series—◆Wesley K. 2:20 p.m. Efficacy of Poststratification in Complex Sampling Thompson, University of California, San Diego Designs—◆Ismael Flores Cervantes, Westat, Inc.; Michael J. Brick, Westat, Inc.; Mike Jones, 3:20 p.m. Efficient Large Design Space Exploration and Westat, Inc. Prediction in Computer Microarchitectural Study— ◆Bin Li, Louisiana State University; Lu Peng, 2:35 p.m. Variance Estimation in Complex Surveys with Louisiana State University One PSU per Stratum—◆Harold Mantel, Statistics Canada; Suzelle Giroux, Statistics Canada 3:35 p.m. Floor Discussion 3:05 p.m. An Investigation of Stratified Jackknife Estimators Using Simulated Establishment Data Under an Unequal Probability Sample Design—◆Philip Steel, 32 CC-158A U.S. Census Bureau; Victoria McNerney, U.S. Census Bureau; John Slanta, U.S. Census Bureau ■ Extreme Values, Censored Data, and 3:20 p.m. Developing Guidelines Based on CVs for When Clustering in Environmental Studies— One-Year Estimates Can Be Used Instead of Contributed Three-Year Estimates in the American Community Section on Statistics and the Environment Survey—◆Michael Ikeda, U.S. Census Bureau Chair(s): Daniel Cooley, Colorado State University 3:20 p.m. Identification of Functional Forms and Predictor Variables in Generalized Variance Functions for 2:05 p.m. A Power Comparison of Generalized Additive Price Indexes—◆MoonJung Cho, Bureau of Labor Models and the Spatial Scan Statistic Under Simple Statistics; John L. Eltinge, Bureau of Labor Statistics Alternative Hypotheses—◆Robin L. Young, Boston 3:35 p.m. Evaluating the Asymptotic Limits of the Delete-a- University School of Public Health; Janice Weinberg, Group Jackknife for Model Analyses—Phillip S. Boston University School of Public Health; Verónica Kott, U.S. Department of Agriculture; ◆Steven T. Vieira, Boston University School of Public Health; Garren, James Madison University Thomas F. Webster, Boston University School of Public Health 2:20 p.m. Significance Testing with the Pareto Set in Cluster Detection Problems—◆Ronald Gangnon, University 34 CC-208A of Wisconsin-Madison ■ Statistical Methods for Modeling Infectious 2:35 p.m. Statistical Inference for Food Webs/Ecological Disease Risk—Contributed ◆ Networks via Bayesian Melding— Grace Section on Statistics in Epidemiology Chiu, University of Waterloo; Joshua Gould, Chair(s): Akbar Zaidi, CDC Dalhousie University 2:50 p.m. Using Extreme Value Analysis to Predict Pressurized Equipment Life—Eric Suess, 2:05 p.m. Estimates of US Influenza-Associated Deaths California State University, Hayward; Calculated from Three Poisson Regression Models ◆Philip E. Myers, Chevron for the 1976/77 Through the 2004/05 Seasons— ◆Hong Zhou, CDC; William W. Thompson, CDC; 3:05 p.m. Survival Modeling Application in Estimating Po-Yung Cheng, CDC; Cecile Viboud, Fogarty Response Time for Drinking Water Violation— International Center; Corinne Ringholz, Fogarty ◆ Jade Freeman, U.S. Environmental International Center; Eric Weintraub, CDC; Joseph Protection Agency Bresee, CDC; David K. Shay, CDC 3:20 p.m. Environmental Risk Evaluation: A Bayesian 2:20 p.m. Modeling Clinical Symptoms as Predictors Hierarchical Approach for Extreme Temperature for Influenza: A Useful Tool for Primary Care ◆ Over Space and Time— Hongfei Li, IBM T. J. Providers—◆Hector Lemus, San Diego State Watson Research Center; Jonathan Hosking, IBM University; Tabitha Zimmerman, Naval Health Research Division; Huijing Jiang, Georgia Institute Research Center of Technology 3:35 p.m. Floor Discussion Washington, DC 47 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:35 p.m. Using Mathematical Models to Predict the Risk of 3:35 p.m. An Application of Generalized Estimating Equations Listeriosis—◆Zheng Lu, Virginia Commonwealth to the Data from Influenza Surveillance in Canada— University; Chunwang Gao, Iowa State University; ◆Shenghai Zhang, Public Health Agency of Canada; Chunwang Gao, Iowa State University Ping Yan, Public Health Agency of Canada 2:50 p.m. Bootstrap Variance and Bias Correction in the Estimation of HIV Incidence from Surveillance Data with Testing for Recent Infection—◆Nicole B. Carnegie, University of Washington 35 CC-158B 3:05 p.m. Modeling the Incidence of Disease and the Two Statistical Methods for Modeling Populations in Sample Capture-Recapture Procedure—◆Lawrence Ecology—Contributed Lessner, State University of New York/New York Section on Statistics and the Environment State Department of Health Chair(s): Jarrett Barber, University of Wyoming 3:20 p.m. Application of Robust Regression Models for Estimating Influenza-Associated Deaths Using the CDC 122 Cities Mortality Reporting System Data— 2:05 p.m. Acoustic Estimation of Wildlife Abundance: ◆Po-Yung Cheng, CDC; William W. Thompson, Methodology for Vocal Mammals in Forested ◆ CDC; Rosaline Dhara, CDC; Al Ozonoff, Boston Habitats— Steven J. Schwager, Cornell University; University School of Public Health; Xiaopeng Miao, Mya E. Thompson, Cornell University; Katharine B. Boston University School of Public Health; Lynnette Payne, Cornell University Brammer, CDC; Eric Weintraub, CDC; Lenee 2:20 p.m. Joint Modeling of Longitudinal Capture-Recapture Blanton, CDC; David K. Shay, CDC and Cross-Sectional Count Data in Wildlife and Fisheries Disease Studies—◆Matt Ritter, North Carolina State University

Bringing the ASA to Washington, DC Visit the ASA Booth!

Visit Booth #600 in the exhibit hall to learn about the many programs available to you. At the ASA booth, you’ll hear about:

Publications – Flip through the ASA’s journals and magazines or pick up brochures about various ASA programs Membership – Ask an ASA staff member questions about the association and its benefits to members

Discover the benefits of membership

48 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:35 p.m. Prediction Implications of Nonlinear Mixed- 37 CC-208B Thurs-Sun Effects Forest Biometric Models Estimated with a ■ Generalized Error Structure—◆Shongming Huang, Bayesian Diagnostics and Dynamic Models— Alberta Government; Shawn X. Meng, Alberta Contributed Government; Yuqing Yang, Alberta Government Section on Bayesian Statistical Science 2:50 p.m. Multinomial Mixture Model with Heterogeneous Chair(s): Gilbert Fellingham, Brigham Young University Classification Probabilities—◆Mark D. Holland, The University of Minnesota; Brian R. Gray, U.S. 2:05 p.m. Bayesian Methods for Detecting Influential Geological Survey Observations When Using the Box-Cox 3:05 p.m. Analyzing Ecological Momentary Assessment Transformation—◆Lawrence I. Pettit, Queen Mary Data: Variation Among Subjects in Baseline Event University of London; Nalaiyini Sothinathan, Queen Rates—◆Benjamin Neustifter, The University of Mary University of London Georgia; Stephen L. Rathbun, The University of 2:20 p.m. A Bayesian Approach to Detecting Outliers in Georgia; Saul Shiffman, University of Pittsburgh Circular Data—◆Karen D.S. Young, University of 3:20 p.m. Application of Quadratic Entropy in Measuring Surrey; Lawrence I. Pettit, Queen Mary University Dinosaur Biodiversity—◆Yueqin Zhao, Eastern of London; Nalaiyini Sothinathan, Queen Mary Virginia Medical School; Dayanand N. Naik, Old University of London Dominion University 2:35 p.m. Detection of Outlying Discrimination Parameters 3:35 p.m. Floor Discussion in a Hierarchical IRT Model—◆Sherwin Toribio, University of Wisconsin-La Crosse; James Albert, Bowling Green State University 2:50 p.m. Using Mixtures to Model Outliers in Inter-Laboratory 36 CC-153 Studies—◆Garritt L. Page, Iowa State University; Modern Computation in Experimental Design Stephen B. Vardeman, Iowa State University and Estimation—Contributed 3:05 p.m. Dynamic Logistic Regression and Dynamic Model ◆ Section on Statistical Computing, Interface Foundation of Averaging for Binary Classification— Tyler H. North America McCormick, Columbia University; Adrian E. Raftery, University of Washington; David Madigan, Columbia Chair(s): Adam Cardinal-Stakenas, Johns Hopkins University University; Randall Burd, Children’s National Medical Center 2:05 p.m. On the Relative (Small Sample) Performance of 3:20 p.m. Fast Bayesian Analysis of Spatial Dynamic Factor Several Approaches to Confidence Intervals for Models—◆Christopher M. Strickland, Queensland a Difference in Means—◆John McGready, Johns University of Technology; Daniel Simpson, Hopkins Bloomberg School of Public Health Queensland University of Technology; Ian Turner, 2:20 p.m. Simulation-Based Simultaneous Confidence Bands Queensland University of Technology; Robert for All Contrasts of Three or More Simple Linear Denham, Department of Natural Resources; Kerrie Regression Models Over an Interval—◆Mortaza Mengersen, Queensland University of Technology Jamshidian, California State University, Fullerton; 3:35 p.m. Efficient Bayesian Estimation for a General Dynamic Wei Liu, University of Southampton; Frank Bertz, Mixture Model—◆Christopher K. Carter, University Novartis Pharma AG of New South Wales; Robert J. Kohn, University of 2:35 p.m. Calculating Standard Error with Parametric New South Wales; Paolo Giordani, Sveriges Riksbank Bootstrapping—◆Anli Lin, Pearson 2:50 p.m. Efficient Experimental Designs Under a Nonlinear Model for Event-Related fMRI—◆Ming-Hung Kao, The University of Georgia; Dibyen Majumdar, 38 CC-142 University of Illinois at Chicago; Abhyuday Mandal, Labor Markets and Firm Competitiveness— The University of Georgia; John Stufken, The Contributed University of Georgia Business and Economic Statistics Section 3:05 p.m. A Computational Algorithm for Searching Optimal Chair(s): Matilde Bini, University of Florence Saturated Two-Level Factorial Designs—Samad A. Hedayat, University of Illinois at Chicago; ◆Haiyuan Publications – Flip through the ASA’s journals and magazines Zhu, Merck Research Laboratories 2:05 p.m. A Wavelet Analysis of the Role of Volatility in Inventories and Sales Growth in the Great 3:20 p.m. Uniform Design Over Convex Input Domains or pick up brochures about various ASA programs Moderation—◆David J. Doorn, The University with Applications to Computer Experiments— of Minnesota-Duluth Membership – Ask an ASA staff member questions about the ◆Ying-Chao Hung, National Central University; association and its benefits to members Shih-Chung Chuang, National Central University 2:20 p.m. Does Trade Liberalization Affect Labor Market Churning?—◆Hugette Sun, Bureau of Labor 3:35 p.m. Floor Discussion Statistics; Mina Kim, Bureau of Labor Statistics

Washington, DC 49 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:35 p.m. Robust Technological Clusters in Italy—◆Luigi Biggeri, Italian National Statistical Institute; Matilde Special Presentation Bini, University of Florence; Margherita Velucchi, 4:00 p.m.–5:50 p.m. Università di Firenze 2:50 p.m. Made in Italy Firms Competitiveness: A Multilevel Longitudinal Approach—◆Margherita Velucchi, 40 CC-207B Università di Firenze; Matilde Bini, University of Introductory Overview Lecture: Largely Florence; Tiziana Laureti, University of Naples About Largeness: Models and Views for 3:05 p.m. Data Analysis of Retail Banking Transactions High-Dimensional Data—Other Combined with Geographic Information—◆Wenjun ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical Yin, IBM; Li Xia, IBM China Research Laboratory; Association, International Indian Statistical Association Ming Xie, IBM China Research Laboratory; Jin Dong, Organizer(s): Wendy Martinez, U.S. Department of Defense IBM China Research Laboratory Chair(s): Edward J. Wegman, George Mason University 3:20 p.m. Forecasting of Intermittent Demand Series— Micheal J. Leonard, SAS Institute Inc.; ◆D. Bruce Elsheimer, SAS Institute Inc. 4:05 p.m. Before Your Very Eyes: Visually Unraveling the Mysteries of High-Dimensional Data— 3:35 p.m. Floor Discussion ◆Antony Unwin, Uni Augsburg 4:50 p.m. A Problem That Is Cracking: Methods for Complex, High-Dimensional Data—◆David Banks, Duke University 39 CC-148 5:35 p.m. Floor Discussion ■ ✪ Estimation Issues in Surveys of Employment, Income, Inflation, and Health-Related Costs—Contributed Section on Survey Research Methods, Section on Government Statistics Invited Sessions 4:00 p.m.–5:50 p.m. Chair(s): Art Kendall, Consultant 41 CC-144A 2:05 p.m. Response Analysis Survey: Examining Reasons for Employment Differences Between the Quarterly ■ Teaching Bayesian Statistics to Nonstatistics Census of Employment and Wages and the Current Graduate Students—Invited Employment Statistics Survey—◆Kristin Fairman, Section on Statistical Education, Section on Bayesian Statistical Bureau of Labor Statistics; Maggie Applebaum, Science, Social Statistics Section Bureau of Labor Statistics; Polly Phipps, Bureau Organizer(s): Peter Westfall, Texas Tech University of Labor Statistics; Chris Manning, Bureau of Chair(s): Joe Fred Gonzalez, Jr., National Center for Health Statistics Labor Statistics 2:20 p.m. Application of Piecewise Quadratic Density 4:05 p.m. Teaching Bayesian Statistics to Researchers in Estimator to OES Wage Data—◆Teresa E. Hesley, Nursing—◆Byron J. Gajewski, The University Bureau of Labor Statistics; Martha Duff, Bureau of of Kansas Labor Statistics 4:30 p.m. Teaching Bayesian Statistics to Students in 2:35 p.m. Getting to the Top: Reaching Wealthy Respondents Epidemiology and Public Health—◆Dalene K. in the SCF—◆Arthur B. Kennickell, Federal Stangl, Duke University Reserve Board 4:55 p.m. Teaching Bayesian Statistics to Marketing and 2:50 p.m. The Effect of Late-Filed Returns on Population Business Students—◆Greg Allenby, The Ohio Estimates: A Comparative Analysis—◆Brian Raub, State University IRS; Cynthia Belmonte, IRS; Paul Arnsberger, IRS; Melissa Ludlum, IRS 5:20 p.m. Evolution of Teaching Bayesian Statistics to Nonstatisticians: A Case Study—◆Wesley O. 3:05 p.m. An Analysis of e-Commerce and American Johnson, University of California, Irvine; Jessica M. Consumers—◆Ephraim Okoro, Howard University; Utts, University of California, Irvine Mohammad Quasem, Howard University 5:45 p.m. Floor Discussion 3:20 p.m. Employment Disability and Health-Related Costs: The Consumer Expenditure Survey and Other National Surveys—◆Gary G. Huang, ICF Macro International 3:35 p.m. An Investigation on Response Rate for Best Survey Estimates of Inflation Expectations—◆Turknur Hamsici, Central Bank of The Republic of Turkey

50 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

42 CC-209A 44 CC-209C Thurs-Sun ■ Recent Advances in the Applications and ■ Recent Computational Advances for Theory of Spline Smoothing—Invited Computer Models Published in JCGS—Invited Section on Nonparametric Statistics JCGS-Journal of Computational and Graphical Statistics, Interface Organizer(s): Lijian Yang, Michigan State University Foundation of North America Chair(s): Lijian Yang, Michigan State University Organizer(s): David A. van Dyk, University of California, Irvine Chair(s): David A. van Dyk, University of California, Irvine 4:05 p.m. Bilinear Varying-Coefficient Surface Models with an Application to Death Counts—◆Brian D. Marx, 4:05 p.m. Fast Statistical Surrogates for Dynamical 3D Louisiana State University Computer Models of Brain Tumor—◆Dorin Drignei, 4:30 p.m. Simultaneous Confidence Band for Nonlinear Oakland University Additive Autoregression Model via Spline-Backfitted 4:55 p.m. Emulator-Based Model Calibration for Spline Smoothing—◆Qiongxia Song, Michigan State High-Dimensional Data—◆Jonathan Rougier, University; Lijian Yang, Michigan State University University of Bristol 4:55 p.m. Simultaneous Confidence Bands for Penalized 5:45 p.m. Floor Discussion Spline Estimators—◆Tatyana Krivobokova, Georg-August-Universitaet Goettingen; Thomas Kneib, Ludwig-Maximilains-Universitaet Muenchen; Gerda Claeskens, Katholieke Universiteit Leuven 45 CC-101 5:20 p.m. Disc: Li (Lily) Wang, The University of Georgia ■ ✪ The Issue of High Dimensionality and 5:40 p.m. Floor Discussion Missing Data in Complex Epidemiological Studies—Invited Biometrics Section, Section on Statistics in Epidemiology, Biopharmaceutical Section, International Indian 43 CC-102B Statistical Association ■ Issues and Challenges in Dichotomizing Organizer(s): Samiran Sinha, Texas A&M University Continuous Variables in Clinical Trials—Invited Chair(s): Clifford Spiegelman, Texas A&M University Biopharmaceutical Section, International Chinese Statistical Association 4:05 p.m. Estimating and Ranking the Impact of High- Organizer(s): Steven Snapinn, Amgen, Inc. Dimensional Environmental Risk Factors in Chair(s): Tom Uryniak, AstraZeneca Pharmaceuticals Environmental Epidemiology Studies— ◆Nicholas P. Jewell, University of California, Berkeley 4:05 p.m. Issues and Challenges in Dichotomizing Continuous Variables in Clinical Trials—◆Qi Jiang, 4:30 p.m. Missing Covariates in Relative Risk Regression Amgen, Inc.; Ivan S.F. Chan, Merck & Co., Inc. with Current Status Data—Zhiguo Li, University of Michigan; ◆Bin Nan, University of Michigan 4:30 p.m. The Use of Responder Analyses in Regulatory Guidance and Professional Society Guidelines— 4:55 p.m. Adjusting for Complex Sampling in Cohort ◆Leonard Oppenheimer, Johnson & Johnson PRD; Studies—◆Rebecca Betensky, Harvard School of Zhongxin (John) Zhang, Johnson & Johnson PRD Public Health; Matthew Austin, Harvard School of Public Health 4:55 p.m. The Impact of Dichotomization on the Power to Assess a Treatment Effect—Valerii V. Fedorov, 5:20 p.m. The Analysis of Retrospective Family Studies— GlaxoSmithKline; ◆Chi-hse Teng, Amylin ◆John Neuhaus, University of California, San Pharmaceutical Inc. Francisco; Alastair Scott, University of Auckland; Chris Wild, University of Auckland 5:20 p.m. Disc: Lisa M. LaVange, The University of North Carolina at Chapel Hill 5:45 p.m. Floor Discussion 5:40 p.m. Floor Discussion

Washington, DC 51 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

46 CC-150A 48 CC-155 Handling Survey Case Weights in Model-Based ■ ✪ Reconciling Large Systems of Accounts and Methods—Invited Time Series: Methods and Practice—Invited Section on Survey Research Methods, Section on Bayesian Business and Economic Statistics Section Statistical Science, Section on Government Statistics Organizer(s): Baoline Chen, Bureau of Economic Analysis Organizer(s): Michael Elliott, University of Michigan Chair(s): Estela Bee Dagum, University of Bologna Chair(s): Sonya Vartivarian, Mathematica Policy Research, Inc. 4:05 p.m. Reconciliation and Balancing of Accounts and 4:05 p.m. A Modeler’s Perspective on Survey Weights— Time Series: From Concepts to a SAS Procedure— ◆Roderick J.A. Little, University of Michigan ◆Susie Fortier, Statistics Canada; Benoit Quenneville, 4:30 p.m. Accounting for Complex Sample Designs via Statistics Canada Mixture Models—◆Michael Elliott, University 4:35 p.m. The Compilation of European Quarterly Sector of Michigan Accounts and Supply, Use, and Input-Output ◆ 4:55 p.m. Power-Shrinkage: An Alternative Method for Dealing Tables— Roberto Barcellan, European with Excessive Weights—◆Xiao-Li Meng, Harvard Commission - Eurostat University; Naihua Duan, Columbia University; 5:05 p.m. Reconciling the System of National Accounts for Chih-nan Chen, Cambridge Health Alliance/Harvard the US and Estimation of Structural Distribution of Medical School; Margarita Alegria, Harvard the Statistical Discrepancy—◆Baoline Chen, Medical School Bureau of Economic Analysis 5:20 p.m. Disc: Andrew Gelman, Columbia University 5:35 p.m. Floor Discussion 5:40 p.m. Floor Discussion

49 CC-202A 47 CC-144B ■ ✪ Setting Particulate Matter Air Policy Data Display for Large Complex Data Sets— Standards: From Statistical Evidence to Invited Federal Policy—Invited Section on Statistical Graphics, Section on Statistics and the Section on Statistics in Epidemiology, Section on Bayesian Environment, Social Statistics Section, SSC, Section on Statistical Science, Section on Statistics and the Environment, Government Statistics, Interface Foundation of North America Section on Government Statistics Organizer(s): William S. Cleveland, Purdue University Organizer(s): Brian J. Reich, North Carolina State University Chair(s): Leland Wilkinson, University of Illinois at Chicago Chair(s): Brian J. Reich, North Carolina State University

4:05 p.m. Network and System Visualization in Swift-3D 4:05 p.m. Statistical Approaches to Quantifying and Checking and LiveRAC—◆Stephen C. North, AT&T the Health Effects of Particulate Air Pollution— Labs - Research; Eleftherios C. Koutsofios, ◆Scott Zeger, Johns Hopkins University; Francesca AT&T Labs - Research Dominici, Johns Hopkins University; Roger D. Peng, Johns Hopkins Bloomberg School of Public Health 4:35 p.m. Distributed Computing and the Visualization of Huge Data Sets—◆Lee Edlefsen, REvolution 4:35 p.m. Spatial-Temporal Association Between Computing, Inc. Daily Mortality and Exposure to Ozone and Particulate Matter Using Geocoded Mortality 5:05 p.m. Visualization Databases for the Analysis of Large Data—◆Montserrat Fuentes, North Carolina State Complex Data Sets—◆Saptarshi Guha, Purdue University; Eric Kalendra, North Carolina State University; William S. Cleveland, Purdue University University; Marie Lynn Miranda, Duke University; 5:35 p.m. Floor Discussion Benjamin Strauss, Duke University 4:55 p.m. Meta-Analyses, Multi-City Studies, Risk, and Benefit-Cost Analyses for the PM NAAQS— ◆Bryan Hubbell, U.S. Environmental Protection Agency 5:20 p.m. Disc: Michelle L. Bell, Yale University 5:40 p.m. Floor Discussion

52 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

50 CC-203A 52 CC-206 Thurs-Sun ■ ✪ Experiences of Women Statisticians in the Imaging Analysis—Invited Pharmaceutical Industry, Private Consulting, IMS and University Settings with Special Emphasis Organizer(s): Peihua Qiu, The University of Minnesota on Studies of Women’s Health—Invited Chair(s): Snigdhansu Chatterjee, The University of Minnesota Committee on Women in Statistics, Biopharmaceutical Section, Social Statistics Section 4:05 p.m. Multiscale Adaptive Regression Models for Imaging Organizer(s): Mari Palta, University of Wisconsin-Madison Data—◆Hongtu Zhu, The University of North Chair(s): Marian R. Fisher, University of Wisconsin-Madison Carolina at Chapel Hill; Yimei Li, The University of North Carolina at Chapel Hill; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill; 4:05 p.m. From a Number Cruncher to Executive Dinggang Shen, The University of North Carolina ◆ Management— Aarti S. Shah, Eli Lilly at Chapel Hill and Company 4:30 p.m. Blind Image Deblurring Using Jump Regression 4:30 p.m. Innovations in the Field of Drug Development: From Analysis—◆Peihua Qiu, The University of Path Analysis, Benefit-Risk Assessment to Adaptive Minnesota; Chen Xing, The University of Minnesota Trial Design—◆Yili L. Pritchett, Abbott Laboratories 4:55 p.m. Smoothing Dynamic Positron Emission ◆ 4:55 p.m. WISE Women and WISE Statisticians— Sheryl F. Tomography Time Courses Using Functional Kelsey, University of Pittsburgh Principal Components—◆John Aston, University 5:20 p.m. Disc: Janet Wittes, Statistics Collaborative, Inc. of Warwick; Ci-Ren Jiang, University of California, 5:40 p.m. Floor Discussion Davis; Jane-Ling Wang, University of California, Davis 5:20 p.m. Computational Functional Anatomy—◆Anqi Qiu, National University of Singapore 51 CC-204C 5:45 p.m. Floor Discussion Recent Advances in High-Dimensional Sparse Inference—Invited ENAR, SSC, Interface Foundation of North America Organizer(s): Jinchi Lv, University of Southern California 53 CC-207A Chair(s): Hui Zou, University of Minnesota Le Cam Lecture—Invited IMS, Section on Bayesian Statistical Science Organizer(s): Michael Kosorok, The University of North Carolina at 4:05 p.m. Using the Bootstrap to Quantify the Authority of an Chapel Hill Empirical Ranking—◆Peter G. Hall, The University of Melbourne Chair(s): Jon A. Wellner, University of Washington 4:30 p.m. Penalized Bregman Divergence for Large Dimensional Regression and Classification— 4:05 p.m. Some Frequentist Results on Posterior Distributions ◆Chunming Zhang, University of Wisconsin-Madison on Infinite-Dimensional Parameter Spaces— ◆Aad van der Vaart, Vrije Universiteit Amsterdam 4:55 p.m. Large Sample Asymptotics for the Dantzig Selector and Extensions—◆Lee Dicker, Harvard University; 5:30 p.m. Floor Discussion Xihong Lin, Harvard School of Public Health 5:20 p.m. A Unified Approach to Model Selection and Sparse Recovery Using Regularized Least Squares— ◆Jinchi Lv, University of Southern California; Yingying Fan, University of Southern California 5:45 p.m. Floor Discussion

Washington, DC 53 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

4:45 p.m. Theoretical and Practical Application of Traditional Topic-Contributed Sessions and Accelerated Titration (AT) Phase I Clinical 4:00 p.m.–5:50 p.m. Trial Designs: The Wayne State University Experience—Elisabeth I. Heath, Karmanos Cancer Institute; Patricia M. LoRusso, Karmanos Cancer 54 CC-102A Institute; S. Percy Ivy, National Cancer Institute; Evaluation of Different Biomarker Development Larry Rubinstein, National Cancer Institute; Michaele Strategies from a Benefit-Cost Ratio C. Christian, National Cancer Institute; ◆Lance K. Heilbrun, Karmanos Cancer Institute Perspective—Topic-Contributed 5:05 p.m. Current Issues in Oncology Drug Development, Biometrics Section with a Focus on Phase II Trials—◆Terry Hyslop, Organizer(s): Terry Hyslop, Thomas Jefferson University Thomas Jefferson University; Daniel Sargent, Mayo Chair(s): Scott W. Keith, Thomas Jefferson University Clinic; Jeremy Taylor, University of Michigan 5:25 p.m. Design of Phase II Cancer Trials for Evaluation 4:05 p.m. Evaluation of Different Biomarker Development of Cytostatic/Cytotoxic Agents—◆Masha Strategies from a Benefit-Cost Ratio Perspective— Kocherginsky, The University of Chicago; Ezra Cohen, ◆Yang Song, Merck Research Laboratories; Cong The University of Chicago; Theodore Karrison, The Chen, Merck Research Laboratories University of Chicago 4:25 p.m. Dose-Finding Designs in Pediatric Oncology Trials: 5:45 p.m. Floor Discussion Safety and Accuracy Considerations—◆Arzu Onar-Thomas, St. Jude Children’s Research Hospital; Zang Xiong, St. Jude Children’s Research Hospital

Opening Mixer Sunday, August 2 8:00 p.m. – 10:30 p.m. Renaissance Washington, DC, Hotel Grand Ballroom

Sponsored by

54 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

55 CC-149B 57 CC-150B Thurs-Sun Consortium of Sections Student Paper ■ Advances in the Use of Statistical Awards—Topic-Contributed Methodology in the Legal Setting— Social Statistics Section, Section on Survey Research Methods, Topic-Contributed Section on Government Statistics Section on Government Statistics Organizer(s): Mansour Fahimi, Marketing Systems Group Organizer(s): Weiwen Miao, Haverford College Chair(s): Mary Gray, American University Chair(s): Weiwen Miao, Haverford College

4:05 p.m. Using Multivariate Spatial Statistics in the Modeling 4:05 p.m. Robust Peters-Belson–Type Estimators of Measures of Rate-Based Diffusion Processes: An Extension of Disparity and Their Applications in Employment and Replication of Cohen and Tita—◆Jeremy R. Discrimination Cases—◆Hiro Hikawa, The Porter, Rice University George Washington University; Efstathia Bura, 4:25 p.m. Extended Bootstrap Bias Corrections with The George Washington University/Vertex Application to Multilevel Modeling of Sample Survey Pharmaceuticals, Inc.; Joseph L. Gastwirth, Data Under Informative Sampling—◆Solange T. The George Washington University Correa, Brazilian Institute of Geography and Statistics 4:25 p.m. Advance in the Use of Statistical Methodology in 4:45 p.m. Adaptive Hierarchical Bayes Estimation of the Legal Setting—◆Thomas H. Cohen, Bureau Small-Area Proportions—◆Benmei Liu, of Justice Statistics; Michael D. Sinclair, Bureau University of Maryland of Justice Statistics 5:05 p.m. The Prior Selection and Approximations for the 4:45 p.m. How Accurate Are the Power Calculations Relied Nested Error Regression Model: Estimation of on by the SEC in Its Regulatory Deliberations?— Finite Population Mean for Small Areas—◆Santanu ◆Efstathia Bura, The George Washington University/ Pramanik, NORC at the University of Chicago Vertex Pharmaceuticals, Inc.; Joseph L. Gastwirth, The George Washington University 5:45 p.m. Floor Discussion 5:05 p.m. Causal Effects of Immutable Characteristics— ◆D. James Greiner, Harvard Law School; Donald B. Rubin, Harvard University 56 CC-202B 5:25 p.m. Advance in the Use of Statistical Methodology ■ Adaptive Dose-Finding Studies— in the Legal Setting—◆William Sabol, Bureau of Topic-Contributed Justice Statistics 5:45 p.m. Floor Discussion Biopharmaceutical Section Organizer(s): Frank Bretz, Norvartis, Switzerland Chair(s): Christy Chuang-Stein, Pfizer Inc. 58 CC-143C 4:05 p.m. Adaptive Dose-Ranging Studies: An Update from ■ ✪ Statistical Topics in the Defense Industry— the PhRMA Working Group—◆Jose C. Pinheiro, Novartis Pharmaceuticals Topic-Contributed Section on Statistics in Defense and National Security, Section on 4:25 p.m. Contributions of different design components to Government Statistics the efficiency of an adaptive design in dose ranging studies—◆Vladimir Dragalin, Wyeth Research Organizer(s): Myron J. Katzoff, National Center for Health Statistics Chair(s): Allan T. Mense, Raytheon Missile Systems 4:45 p.m. Response Adaptive Dose-Finding Under Model Uncertainty—◆Bjoern Bornkamp, Dortmund University of Technology 4:05 p.m. Adaptive Design for Bio/Chem Detector Test and Evaluation—◆C. Shane Reese, 5:05 p.m. Adaptive Dose-Ranging Study Design to Balance Brigham Young University Both Clinical and Operational Considerations— ◆Judith Quinlan, Cytel, Inc. 4:25 p.m. Families Under Stress: An assessment of data on marriage and divorce in the Military—◆Beth Ann 5:25 p.m. Disc: Sue-Jane Wang, FDA Griffin, RAND Corporation; John S. Crown, RAND 5:45 p.m. Floor Discussion Corporation; Benjamin R. Karney, University of California, Los Angeles 4:45 p.m. Optimal Experimental Designs for Accelerated Life Tests with Censoring and Constraints— ◆Eric Monroe, Intel Corporation 5:05 p.m. Design and Analysis of Binary Output Computer Validation Experiments—◆Patrick S. Chapin, Iowa State University

Washington, DC 55 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

5:25 p.m. Fitting Univariate Probability Density Functions to 60 CC-149A ◆ Small Data Sets— Jerry L. Alderman, Raytheon ■ Missile Systems; William C. Thomas, Raytheon Overview of Recent Statistical and Missile Systems Methodological Research in the Medical 5:45 p.m. Floor Discussion Expenditure Panel Survey (MEPS)— Topic-Contributed Section on Survey Research Methods, Section on Government Statistics 59 CC-209B Organizer(s): Trena M. Ezzati-Rice, Agency for Healthcare Research ■ ✪ New Research in Spatial and Environmental and Quality Statistics—Topic-Contributed Chair(s): Trena M. Ezzati-Rice, Agency for Healthcare Research and Quality Section on Statistics and the Environment, Section on Bayesian Statistical Science Organizer(s): Stephan R. Sain, National Center for 4:05 p.m. Investigation of Alternative Sampling Procedures for Atmospheric Research the Medical Expenditure Panel Survey—Robert M. Baskin, Agency for Healthcare Research and Quality; Chair(s): Reinhard Furrer, Colorado School of Mines ◆Steven Machlin, Agency for Healthcare Research and Quality; William Yu, Agency for Healthcare 4:05 p.m. Fast Calibration of Complex Computer Models— Research and Quality ◆ Matthew T. Pratola, Simon Fraser University; 4:25 p.m. Evaluation of Design Effects for Selected Estimates Stephan R. Sain, National Center for Atmospheric in the Medical Expenditure Panel Survey—◆David Research; Derek Bingham, Simon Fraser University Kashihara, Agency for Healthcare Research and 4:25 p.m. Hierarchical Spatial Random Effects Model for High- Quality; Marc Zodet, Agency for Healthcare Resolution Data from Regional Climate Models— Research and Quality ◆ Emily Lei Kang, The Ohio State University; Noel A. 4:45 p.m. Assessment and Evaluation of Nonresponse Cressie, The Ohio State University; Stephan R. Sain, Error in the Medical Expenditure Panel Survey— National Center for Atmospheric Research ◆Lap-Ming Wun, Agency for Healthcare Research 4:45 p.m. Spatial Temporal Data Analysis via Reproducing and Quality; Trena M. Ezzati-Rice, Agency for Kernel Regularization—◆Javier González Healthcare Research and Quality; David Kashihara, Hernández, Universidad Carlos III de Madrid; Agency for Healthcare Research and Quality Alberto Muñoz García, Universidad Carlos III 5:05 p.m. Event Reporting in the Medical Expenditure Panel de Madrid; Stephan R. Sain, National Center for Survey (MEPS) by Event Type—◆Frederick Rohde, Atmospheric Research Agency for Healthcare Research and Quality 5:05 p.m. Putting Citizen Science to Work: Hierarchical 5:25 p.m. Comparison of Fractional Weighted Imputation and Modeling, Data Mining, High-Dimensional MCMC, Multiple Imputations for Inpatient Hospital Care ◆ and the eBird Database— Benjamin Shaby, Expenditures in the Medical Expenditure Panel Cornell University Survey—◆Robert M. Baskin, Agency for Healthcare 5:25 p.m. Joint Inference for Multivariate Climate Model Research and Quality; Robert E. Fay, Westat, Data—◆Steven Geinitz, Colorado School of Mines; Inc.; Trena M. Ezzati-Rice, Agency for Healthcare Reinhard Furrer, Colorado School of Mines Research and Quality 5:45 p.m. Floor Discussion 5:45 p.m. Floor Discussion

61 CC-158B ✪ Recent Advances in Bayesian Methods in Spatio-Temporal Models—Topic-Contributed Section on Bayesian Statistical Science Organizer(s): Ananda Majumadar, Arizona State University Chair(s): Dipak K. Dey, University of Connecticut

4:05 p.m. Mapping Health Data Using ZIP Code in a Spatial-Temporally Misaligned Setting— ◆Li Zhu, Texas A&M Health Science Center; Lance A. Waller, Emory University

56 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

4:25 p.m. Kernel-Based Models for Space-Time Data— 63 CC-157 Thurs-Sun ◆Catherine Calder, The Ohio State University; Multivariate Statistical Methods for Business Tao Shi, The Ohio State University; Candace Berrett, The Ohio State University Cycle Analysis—Topic-Contributed Business and Economic Statistics Section 4:45 p.m. Using Stochastic Differential Equations in Spatio-Temporal Modeling—◆Gavino Puggioni, Organizer(s): Gian Luigi Mazzi, Eurostat The University of North Carolina at Chapel Hill; Chair(s): Pablo M. Pincheira, Central Bank of Chile Alan E. Gelfand, Duke University 5:05 p.m. Inferring Likelihoods and Climate System 4:05 p.m. A Joint Dynamic Bi-Factor Model of the Yield Characteristics from Climate Models and Curve and the Economy as a Predictor of Business Spatio-Temporal Tracer Data—◆K. Sham Bhat, Cycles—Marcelle Chauvet, University of California, Penn State University; Murali Haran, Penn State Riverside; ◆Zeynep Senyuz, University of University; Klaus Keller, Penn State University; New Hampshire Roman Tonkonojenkov, Penn State University 4:25 p.m. Are There Common Upswings and Downswings 5:25 p.m. A Generalized Convolution Model for Multivariate Between NAFTA Countries?—◆Shushanik Nonstationary Spatial Processes—◆Anandamayee Papanyan, The University of Texas at Arlington Majumdar, Arizona State University; Debashis Paul, 4:45 p.m. Obtaining Early Signals About US Recessions: University of California, Davis; Dianne Bautista, The An Application of a New and Efficient Multivariate Ohio State University Real-Time Filter—◆Marc Wildi, Institute of Data 5:45 p.m. Floor Discussion Analysis and Process Design 5:05 p.m. Structural VAR-Based Estimates of the Euro Area Output Gap: Theoretical Considerations and Empirical Evidences—◆Gian Luigi Mazzi, Eurostat; 62 CC-158A James Mitchell, National Institute of Economic and ■ Student Paper Competition: Bayesian Social Research; Filippo Moauro, Eurostat Modeling and Posterior Consistency— 5:25 p.m. Floor Discussion Topic-Contributed Section on Bayesian Statistical Science Organizer(s): Michael J. Daniels, University of Florida Chair(s): Veera Baladandayuthapani, The University of Texas M.D. Anderson Cancer Center Contributed Sessions 4:00 p.m.–5:50 p.m. 4:05 p.m. Bayesian Uncertainty Quantification for Flows in Heterogeneous Subsurfaces Using Multiscale, Multidimensional Models—◆Anirban Mondal, 64 CC-204B Texas A&M University; Bani K. Mallick, Texas A&M Survival Analysis and Joint Modeling— University; Yalchin Efendiev, Texas A&M University; Contributed Akhil Datta-Gupta, Texas A&M University Biometrics Section 4:25 p.m. Benchmarking Finite Population Means Chair(s): Mary Sammel, University of Pennsylvania Using a Bayesian Regression (Student Paper Competitions)—◆Ma Criselda S. Toto, Worcester Polytechnic Institute; Balgobin Nandram, Medical 4:05 p.m. Jointly Modeling Multiple Longitudinal College of Georgia Measurements and Time-to-Event Data—◆Paul S. Albert, National Cancer Institute; Joanna H. Shih, 4:45 p.m. Bayesian Changepoint Analysis with Application National Cancer Institute to Atomic Force Microscopy and Soft Material Indentation—◆Daniel Rudoy, Harvard University 4:20 p.m. A Comparison of MMRM and Other Methods for Handling Dropouts in a Cystic Fibrosis Clinical 5:05 p.m. Bayesian Inference on Dependence in Multivariate Trial—◆Tao Song, Vertex Pharmaceuticals, Inc.; Longitudinal Data—◆Hongxia Yang, Duke Abdul J. Sankoh, Vertex Pharmaceuticals, Inc.; University; David Dunson, Duke University Qunming Dong, Vertex Pharmaceuticals, Inc.; 5:25 p.m. Posterior Consistency for Some Semiparametric Cynthia M. DeSouza, Vertex Pharmaceuticals, Inc. Problems—◆Yuefeng Wu, North Carolina 4:35 p.m. Simulation Study of a Joint Modeling Approach to State University Assess the Potential Effect of Biomarker Variability 5:45 p.m. Floor Discussion on Clinical Outcomes—◆Feng Gao, Washington University in St. Louis; Philip Miller, Washington University in St. Louis; Mae Gordon, Washington University in St. Louis; Chengjie Xiong, Washington University

Washington, DC 57 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

4:50 p.m. Frailty Models with Nonparametric Additive 66 CC-208A Covariate Functions—◆Zhangsheng Yu, Indiana University School of Medicine; Xihong Lin, Harvard Miscellaneous Theory II—Contributed School of Public Health IMS Chair(s): Frank Jian Guo, University of Michigan 5:05 p.m. Simultaneous Analysis of Survival Time with Cox Proportional Hazards Model and Longitudinal Outcomes with Generalized Linear Mixed Model— 4:05 p.m. Stirling’s Formula and Its Extensions: Heuristic ◆Jaeun Choi, The University of North Carolina at Approaches—◆Debanjan Bhattacharjee, Chapel Hill; Jianwen Cai, The University of North University of Connecticut Carolina at Chapel Hill; Donglin Zeng, The University 4:20 p.m. On Hilbert C*-module-Valued Random Variables— of North Carolina at Chapel Hill ◆Khalil Shafie, University of Northern Colorado 5:20 p.m. A Comparison of Multiple Imputation and Inverse 4:35 p.m. Robust Improper ML for Finite Location-Scale Probability Weighted Estimation for Survival Mixtures—◆Pietro Coretto, University of Salerno; Analysis with Missing Covariates—Lihong Qi, Christian Hennig, University College London University of California, Davis; ◆Ying-Fang Wang, University of California, Davis; Yulei He, Harvard 4:50 p.m. Modeling Nonhomogeneous Poisson Process with Medical School a Periodic or Almost Periodic Intensity Function— ◆Nan Shao, University of California, Riverside; 5:35 p.m. Longitudinal Bayesian Analysis of Self-Reported Keh-Shin Lii, University of California, Riverside Noisy Count Data—◆Jihey Lee, University of California, Los Angeles; Robert E. Weiss, University 5:05 p.m. Polya Processes with Random Additions: The of California, Los Angeles Geometric Case—◆Srinivasan Balaji, The George Washington University 5:20 p.m. Time Series Central Mean Subspace—◆Jin-Hong Park, College of Charleston 65 CC-204A 5:35 p.m. On the Transmuted Weibull Probability General Methodology I—Contributed Distribution—◆Gokarna R. Aryal, Purdue Biometrics Section University Calumet Chair(s): James Godbold, Mount Sinai School of Medicine

4:05 p.m. Causal Effect Model Using Matching Methods in 67 CC-143A Fisher’s Experiment Design and Rubin’s Causal ■ Model with Small Participants in a Control Group in Statistics and Its Interface—Contributed Quasi-Experimental Data—◆Gideon D. Bahn, Loyola International Chinese Statistical Association University Chicago; Kathleen Ruroede, Marianjoy Chair(s): Zhaohai Li, The George Washington University Wheaton Franciscan Healthcare 4:20 p.m. Hypothesis Testing for Equivalence Defined on 4:05 p.m. Optimal Two-Stage Sequential Design for Symmetric Open Intervals—◆Daniel M. Ennis, The Case-Control Genetic Association Studies— Institute for Perception; John Ennis, The Institute ◆Lihan K. Yan, The George Washington University; for Perception Aiyi Liu, National Institute of Child Health and 4:35 p.m. Asymptotic and Approximate Distributions of Human Development; Zhaohai Li, The George Quadratic Form Statistics for Multilocus Association Washington University; Gang Zheng, National Test—◆Liping Tong, Loyola University Chicago Heart, Lung, and Blood Institute 4:50 p.m. Composite Likelihood in Haplotype Sequence 4:20 p.m. Estimation of Lifetime Distribution When Censoring Data—Bruce G. Lindsay, Penn State University; Is Missing—◆Jiantian Wang, Kean University ◆Jianping Sun, Penn State University 4:35 p.m. China in the World Economy: Dynamic Correlation 5:05 p.m. Fiducial Inference for a Function of Parameters: Analysis of Business Cycles—◆Jarko Fidrmuc, Binomial and Poisson Cases—◆Meesook Lee, University of Munich; Iikka Korhonen, Bank University of Louisiana-Lafayette; Kalimuthu of Finland; Ivana Batorova, Comenius Krishnamoorthy, University of Louisiana-Lafayette University Bratislava 5:20 p.m. Confidence Regions for Parameters of Linear 4:50 p.m. How Is Randomization Going in China?— Models—◆Andrew Rukhin, National Institute of ◆Wei Li, Peking Union Medical College Standards and Technology 5:05 p.m. The Information in One Prior Relative to Another— 5:35 p.m. All-Pairwise Comparisons Under Unequal Error ◆Gun Ho Jang, University of Toronto; Michael Variances—◆Hong Li, Bowling Green Evans, University of Toronto State University 5:20 p.m. Application of Bayesian Statistics in Medical Device Clinical Trials—◆Tao Xu, Peking Union Medical College; Wei Li, Peking Union Medical College 5:35 p.m. Floor Discussion

58 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

4:35 p.m. On the Importance and Measurement of Pre-Service 68 CC-208B Thurs-Sun Nonparametric Methods Based on the Teachers’ Efficacy to Teach Statistics: Results and Lessons Learned from the Development and Bootstrap—Contributed Testing of a GAISE-Based Instrument—◆Rebecca Section on Nonparametric Statistics L. Pierce, Ball State University; Leigh M. Harrell, Chair(s): Soumendra N. Lahiri, Texas A&M University Virginia Polytechnic Institute and State University; Alejandra Sorto, Texas State University; Teri J. Murphy, Northern Kentucky University; Felicity 4:05 p.m. On the Estimation of Nonparametric Correlation B. Enders, Mayo Clinic; Lawrence M. Lesser, The Coefficients for Clustered Data—◆Allison M. Deal, University of Texas at El Paso; Randall E. Groth, The University of North Carolina at Chapel Hill; Salisbury University Haitao Chu, The University of North Carolina at Chapel Hill; Bert O’Neil, The University of North 4:50 p.m. Statistical Education: Same Challenge, Different Carolina at Chapel Hill Perspective—◆Alan Albright, University of Memphis 4:20 p.m. Assessment of Uncertainty of Nonparametric 5:05 p.m. Honors Introductory Statistics with Median Regression Estimators with Applications to Student-Led Seminars—◆Nancy Pfenning, Protein Lysate Arrays—◆Xingdong Feng, University University of Pittsburgh of Illinois at Urbana-Champaign; Xuming He, 5:20 p.m. Telling the Story to Learn the Statistics— University of Illinois at Urbana-Champaign; ◆A. John Bailer, Miami University; Richard Jianhua Hu, The University of Texas M.D. Campbell, Miami University Anderson Cancer Center 5:35 p.m. Automated Individual Student Assessment 4:35 p.m. Observed Confidence Levels for Principal System—◆Stanislav Kolenikov, University of Component Analysis—◆Alan M. Polansky, Missouri-Columbia Northern Illinois University 4:50 p.m. The Kernel Reweighting Bootstrap for Spatial Processes—◆Kristofer Jennings, Purdue University 5:05 p.m. Estimation of Shift Based on Smoothed 70 CC-160 Kolmogorov-Smirnov Statistics—◆Feridun Tasdan, Advances in Marketing Research Methods— Western Illinois University Contributed 5:20 p.m. Saddlepoint-Based Bootstrap Inference About Section on Statistics and Marketing Smoothing Parameters in Nonparametric and Chair(s): Ty Henderson, The University of Texas at Austin Semiparametric Spline Models—◆Robert Paige, Missouri University of Science and Technology; Alex Trindade, Texas Tech University 4:05 p.m. Predictive Model Evaluation: Basic rules for the marketer—◆Sam Koslowsky, Harte Hanks 5:35 p.m. Floor Discussion 4:20 p.m. Identification and Isolation of Scale Usage Effects in Segmentation Analyses—◆Frank Hedler, MarketTools; Norbert Wirth, MarketTools; Dimitri 69 CC-143B Liakhovitski, MarketTools Assessing Students—Contributed 4:35 p.m. Implicit Regression Modeling in Supercritical Pitchfork Bifurcation Approach—◆Stan Lipovetsky, Section on Statistical Education GfK Custom Research North America Chair(s): Soma Roy, Cal Poly 4:50 p.m. Direct-Marketing Models Based on Unknowingly Biased Campaign Files—◆Hye-Kyoung Kim, 4:05 p.m. A Discussion of Open-Book and Closed-Book Intellidyn Corp.; Dmitri V. Kuznetsov, Exams on Student Achievement in an Introductory Intellidyn Corp. ◆ Probability and Statistics Course— Robert M. 5:05 p.m. Estimating the Customer’s Wallet: An Empirical Block, U.S. Air Force Academy Bayes Approach—◆Siu-Tong Au, AT&T Labs - 4:20 p.m. Does Learning to Think Statistically = Learning to Research; Changxuan Mao, AT&T Labs - Research Confront Ambiguity? Evidence from Two Schools— 5:35 p.m. Floor Discussion ◆Robert H. Carver, Stonehill College; Carolyn P. Dobler, Gustavus Adolphus College

Washington, DC 59 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

71 CC-144C 5:05 p.m. An Efficient Computational Tool to Detect Genotyping Errors in an Arbitrary Complex Data Confidentiality, Data Frames, and Variance Pedigree—◆Lan Zhu, Oklahoma State University Estimates—Contributed 5:20 p.m. A Dirichlet Process Model for Changes in the fMRI Section on Survey Research Methods Visual Field Map—◆Raymond G. Hoffmann, Medical Chair(s): Frank Potter, Mathematica Policy Research, Inc. College of Wisconsin; Pippa Simpson, Medical College of Wisconsin; Daniel B. Rowe, Medical 4:05 p.m. Toward Quantifying Disclosure Risk for Area-Level College of Wisconsin Tables When Public Microdata Exists—◆Tom 5:35 p.m. Floor Discussion Krenzke, Westat, Inc.; David Hubble, Westat, Inc. 4:20 p.m. Measures of Data Utility for Complex Survey Data—◆Kyu-Seong Kim, University of Seoul 4:35 p.m. Investigation of Variance Properties of Noise- 73 CC-153 Infused Estimates for the Survey of Business ■ ✪ Harmful Substances—Contributed Owners—◆Irene Brown, U.S. Census Bureau; Section on Risk Analysis Marilyn Balogh, U.S. Census Bureau; Anthony Chair(s): Aleka Kapatou, Consultant Caruso, U.S. Census Bureau; Beth Schlein, U.S. Census Bureau; Katherine J. Thompson, U.S. Census Bureau 4:05 p.m. On the Identifiability Issues in Physiologically- Based Toxicokinetics (PBTK) Models—◆Munni 4:50 p.m. Data and Metadata from the Terminological Begum, Ball State University Perspective—◆Daniel W. Gillman, Bureau of Labor Statistics; Frank Farance, Farance Inc. 4:20 p.m. Decomposition Techniques in the Application of Pesticide Exposure—◆David Diez, University of 5:05 p.m. GeoFrameTM: A Technological Advancement in California, Los Angeles Field Enumeration (Part 2)—◆Joseph P. McMichael, RTI International; Brian Evans, RTI International; 4:35 p.m. Bayesian Approaches for Simultaneous Estimation Leslie Athey, RTI International of BMD with Multiple Chemicals and Multiple Endpoints—◆Epiphanie Nyirabahizi, Virginia 5:20 p.m. General Discrete-Data Modeling Methods Commonwealth University; Edward L. Boone, for Producing Synthetic Data with Reduced Virginia Commonwealth University; Chris Gennings, Reidentification Risk That Preserve Analytic Virginia Commonwealth University Properties—◆William E. Winkler, U.S. Census Bureau 4:50 p.m. Comparison of Methods to Predict Radiation Dose—◆Sally W. Thurston, University of Rochester; 5:35 p.m. Floor Discussion Jacqueline P. Williams, University of Rochester 5:05 p.m. Analysis of Risks and Benefits of Malaria Antibody Testing of Blood Donations in the United States— ◆Hong Yang, FDA; Mark O. Walderhaug, FDA; 72 CC-142 Richard A. Forshee, FDA; Steven A. Anderson, FDA Recent Advances in Computational Statistical 5:20 p.m. Stable Isotope Sourcing Using Sampling—◆Erik B. Modeling—Contributed Erhardt, University of New Mexico; Edward Bedrick, Section on Statistical Computing, Section on Bayesian Statistical University of New Mexico Science, Interface Foundation of North America 5:35 p.m. Inference Concerning the Negative Binomial Chair(s): Jarad Niemi, Duke University Dispersion Parameter with Applications to Tumor Data—◆Krishna K. Saha, Central Connecticut State 4:05 p.m. RE-EM Trees: A New Data Mining Approach to University; Sudhir R. Paul, University of Windsor Longitudinal Data—◆Rebecca J. Sela, New York University; Jeffrey S. Simonoff, New York University 4:20 p.m. Wrapped Around KS--Type Statistics—◆Huiyu Qian, Lehigh University; Wei-Min Huang, Lehigh 74 CC-141 University; Bennett Eisenberg, Lehigh University ■ Applications and Case Studies—Contributed 4:35 p.m. Distribution of Clump Statistics for a Collection of Section on Physical and Engineering Sciences, Section on Quality Words—◆Deidra A. Coleman, North Carolina State and Productivity, Section on Quality and Productivity University; Donald E.K. Martin, North Carolina Chair(s): Jennifer Van Mullekom, DuPont State University 4:50 p.m. Random Hypergraph Projection for Text 4:05 p.m. Stochastic Analysis and Characterization of Roller Processing—◆Elizabeth L. Hohman, Naval Surface Measurement Values in a Test Bed—◆Daniel Warfare Center; David Marchette, Naval Surface Heersink, Colorado School of Mines Warfare Center

60 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

4:20 p.m. Using Haar Wavelets and Order Recurrence Plots 5:35 p.m. A Risk-Adjusted O-E CUSUM with a V-Mask Thurs-Sun (ORPs) to Statistically Assess Gait Fatigue— for Monitoring Medical Outcomes—◆Rena Jie ◆Kristin D. Morgan, Virginia Commonwealth Sun, University of Michigan; John D. Kalbfleisch, University; Carolyn B. Morgan, Hampton University; University of Michigan Peter Pidcoe, Virginia Commonwealth University; Morris H. Morgan, Hampton University 4:35 p.m. Testing the Equality of Regression Coefficients Under Multicollinearity—◆Fransell C. Riley, The 75 CC-148 University of Texas at Arlington; Chien-Pai Han, Applications in Clustered Data, Risk The University of Texas at Arlington Assessment, and Health Surveys—Contributed 4:50 p.m. Inference and Diagnostics in Nonlinear Section on Health Policy Statistics Structural Equation Models with Applications in Chair(s): Yulei He, Harvard Medical School Neuroimaging—◆Klaus K. Holst, University of Copenhagen; Esben Budtz-Jørgensen, University of Copenhagen 4:05 p.m. Analysis of Dyadic Data—◆Joseph C. Cappelleri, 5:05 p.m. Optimal Monitoring Design for Computer Network Pfizer Inc. Traffic—◆Joel Vaughan, University of Michigan; 4:20 p.m. Power Analysis of Cutoff-Based Designs for George Michailidis, University of Michigan; Stilian Group Randomized Trials—◆Michael Pennell, Stoev, University of Michigan The Ohio State University; Erinn Hade, The Ohio 5:20 p.m. A Bayesian Model for Assessment of Sulfur State University; David M. Murray, The Ohio State in Diesel Fuel at Ultra-Low Levels—◆William University; Dale Rhoda, Battelle Memorial Institute F. Guthrie, National Institute of Standards and 4:35 p.m. A History of Supplements on the National Health Technology; W. Robert Kelly, National Institute Interview Survey—◆Brenda LaRochelle, CDC; of Standards and Technology Susan Jack, National Center for Health Statistics

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4:50 p.m. A Model of the Potential Benefit of C-Reactive 5:05 p.m. Identify Misspecified Gestational Ages in Pre-Term Thurs-Sun Protein Measurement in Primary Prevention for Babies with Bayesian Mixture Models—◆Guangyu Men and Women with Intermediate Risk of Ten-Year Zhang, University of Maryland; Jennifer D. Parker, First Coronary Heart Disease Events—◆Rongwei National Center for Health Statistics; Nathaniel (Rochelle) Fu, Oregon Health & Science University; Schenker, National Center for Health Statistics; Craig Fleming, Oregon Health & Science University; Dan Liao, University of Maryland; Hoda Hammad, Michele Freeman, Oregon Health & Science University of Maryland University; David Buckley, Oregon Health & 5:20 p.m. Combining Inexactly-Matched Data Sets to Analyze Science University; Mark Helfand, Oregon End-of-Life Medical Costs—◆Roee Gutman, Health & Science University Harvard University; Alan M. Zaslavsky, Harvard 5:05 p.m. A Comparison of Tree-Based Methods with Logistic Medical School Regression to Classify Cardiovascular Disease 5:35 p.m. Dose-Finding in Phase I Clinical Trials with Logistic Risk—◆Layla Parast, Harvard University; Joinpoint Regression—◆Ling Lan, Medical College Latha Palaniappan, Palo Alto Medical Foundation; of Georgia; Grzegorz A. Rempala, Medical College Helena Kraemer, Stanford University; Michael of Georgia Pencina, Boston University; Ralph D’Agostino, Boston University 5:20 p.m. Effect of Electronic Prescribing on Medication Error Rates: A Comparison of Poisson Regression 77 CC-159A ◆ Methods— Yolanda Barrón, Weill Medical College ■ of Cornell University; Lisa Kern, Weill Medical Bayesian Theory—Contributed College of Cornell University; Erika Abramson, Section on Bayesian Statistical Science Weill Medical College of Cornell University; Alison Chair(s): Scotland Leman, Virginia Polytechnic Institute and Edwards; Rainu Kaushal, Weill Medical College of State University Cornell University 5:35 p.m. Different Models in Analyzing Correlated Binary 4:05 p.m. Adaptive Bayesian Oracle Projection Estimation and Outcomes and the Impact on Power—◆Qing Pan, Oracle Projection Convergence Rate of Posterior The George Washington University Distribution—◆Eduard Belitser, Utrecht University 4:20 p.m. Neutral Noninformative and Informative Gamma, Beta, and Dirichlet Conjugate Priors—◆Jouni Kerman, Novartis Pharma AG 76 CC-159B 4:35 p.m. A Bayesian Approach to Population Parameter ■ Bayesian Biostatistics—Contributed Orderings—◆Feiyi Jia, MED Institute; Gary C. Section on Bayesian Statistical Science McDonald, Oakland University Chair(s): Robin Jeffries, University of California, Los Angeles 4:50 p.m. Simulation Pseudo-Bias Correction to the Harmonic Mean Estimator of Integrated Likelihoods—◆Peter 4:05 p.m. A Bayesian Generalized Non-Linear Predictive Lenk, University of Michigan Model of Treatment Efficacy Using qMRI— 5:05 p.m. Bayesian Analysis of Vector Spline Smoothing— ◆Jincao Wu, University of Michigan; Timothy D. ◆Shawn Ni, University of Missouri; Dongchu Sun, Johnson, University of Michigan University of Missouri 4:20 p.m. fMRI Meta-Analysis via Bayesian Spatial Point 5:20 p.m. Asymptotic Confidence Intervals in Ridge Processes—◆Jian Kang, University of Michigan; Regression—◆Luis Firinguetti, Universidad del Bío Timothy D. Johnson, University of Michigan; Bío; Gladys Bobadilla, Univesridad de Santiago Thomas E. Nichols, GlaxoSmithKline; Tor D. Wager, 5:35 p.m. Floor Discussion Columbia University 4:35 p.m. Bayesian Prescribing Model for Cox-2 Selective NSAIDS—◆Margaret R. Stedman, Brigham and Women’s Hospital; M. Alan Brookhart, Brigham and 78 CC-203B Women’s Hospital/Harvard Medical School Various Topics in Clinical Trials—Contributed 4:50 p.m. Estimating and Projecting Trends in HIV/AIDS Biopharmaceutical Section Generalized Epidemics Using Incremental Mixture Chair(s): Ilya A. Lipkovich, Eli Lilly and Company Importance Sampling—◆Le Bao, University of Washington; Adrian E. Raftery, University of Washington 4:05 p.m. Dose Reduction Profiles for Combination Drug Studies—◆John J. Peterson, GlaxoSmithKline 4:20 p.m. Assessing the Similarity of Bioanalytical Methods— ◆Jason Liao, Merck Research Laboratories

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4:35 p.m. Testing the Stochastic Ordering of Discrete 4:20 p.m. Combining Multiple Tests in Clinical Trials with Distributions—◆Myron N. Chang, University Hierarchical Objectives—◆Alexei A. Dmitrienko, Eli of Florida Lilly and Company; Ajit C. Tamhane, Northwestern 4:50 p.m. Constrain Estimate of Intracluster Correlation for University; Lingyun Liu, Northwestern University Clustered Binary Data—◆Hrishikesh Chakraborty, 4:35 p.m. Simultaneous Critical Values for t-Tests in Very High RTI International; Pranab Sen, The University of Dimensions—◆Hongyuan Cao, The University of North Carolina at Chapel Hill North Carolina at Chapel Hill; Michael Kosorok, The 5:05 p.m. Extension of the Beta-Binomial Model for Cluster University of North Carolina at Chapel Hill Randomized Trials When Adjusting for Baseline— 4:50 p.m. Evaluating Multiple Endpoints in Two Pivotal ◆Pamela A. Ohman Strickland, University of Trials—◆Brian L. Wiens, Gilead Sciences, Inc.; Medicine and Dentistry of New Jersey Alexei A. Dmitrienko, Eli Lilly and Company 5:20 p.m. Shelf Life Determination with Common Intercept— 5:05 p.m. An Efficient Algorithm to Determine the Optimal ◆Roswitha E. Kelly, FDA; Jinglin Zhong, FDA; Two-Stage Randomized Multinomial Designs in Meiyu Shen, FDA Oncology Clinical Trials—◆Yong Zhang, University 5:35 p.m. Now You See It, Now You Don’t: Impact of of Michigan; William L. Mietlowski, Novartis Population Screening Practices on Perceived Oncology; Bee Chen, Novartis Oncology; Yibin Wang, Efficacy of Cancer Therapies—◆Margaret A. Novartis Oncology Au, University of Washington; Ruth Etzioni, Fred 5:20 p.m. Overall Power for Testing Co-Primary Hypothesis Hutchinson Cancer Research Center with Multiple Endpoints—◆Fang Liu, Merck Research Laboratories 5:35 p.m. Extended Fallback Procedures with Clinical Trial Applications—◆Yan D. Zhao, Eli Lilly and Company; 79 CC-201 Alexei A. Dmitrienko, Eli Lilly and Company; Brian L. ■ Multiple Trials, Multiple Comparison, and Wiens, Gilead Sciences, Inc. Multiple Endpoints—Contributed Biopharmaceutical Section Chair(s): Tammy Massie , FDA

4:05 p.m. Comparison of Multiple Testing Methods in a Trial with Co-Primary Endpoints—◆Moumita Sinha, Boehringer Ingelheim Pharmaceuticals, Inc.

INTERNATIONAL INDIAN STATISTICAL ASSOCIATION

We Invite You to Join as a Member! Please Stop by the IISA Table at JSM 2009!

Visit the web site: www.stat.osu.edu/~hnn/IISA.html

64 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

monday, august 3

Tours 7:00 a.m.–8:30 a.m. RH-Meeting Room 3 Committee on Statistics in Two-Year Colleges Meeting TR05 - Welcome to Washington Tour Chair(s): Mary Sullivan, Rhode Island College 9:00 a.m.–1:00 p.m. 7:00 a.m.–8:30 a.m. RH-Congressional B TR06 - The Kennedys: A Georgetown Walking Tour ASA Caucus of Academic Representatives 9:00 a.m.–1:00 p.m. Committee Meeting Chair(s): Douglas Simpson, University of Illinois at Urbana-Champaign Monday TR07 - The Neighborhoods of Washington DC: Not Just the Nation’s Capital City 7:00 a.m.–8:30 a.m. CC-205 2:00 p.m.–6:00 p.m. Section on Health Policy Statistics Business Meeting Chair(s): Bonnie Ghosh-Dastidar, RAND Corporation TR08 - Monuments by Moonlight 8:00 p.m.–11:00 p.m. 7:00 a.m.–8:30 a.m. CC-157 Survey Review Committee Annual Meeting Chair(s): Jonaki Bose, Substance Abuse & Mental Health Committee/Business Meetings & Services Administration Other Activities 7:00 a.m.–8:30 a.m. RH-Meeting Room 6 ASA Archives and Historical Materials Annual 7:00 a.m.–8:30 a.m. RH-Meeting Room 19 Committee Meeting ASA Development Committee (closed) Chair(s): John Paul Deley, Energy Information Administration Chair(s): Scott Evans, Harvard University 7:00 a.m.–9:00 a.m. RH-Meeting Room 7 7:00 a.m.–8:30 a.m. RH-Meeting Room 17 Social Statistics Section Executive Board Meeting Section on Statistical Graphics Business Meeting (closed) Chair(s): Allen Schirm, Mathematica Policy Research, Inc. Chair(s): Antony Unwin, Uni Augsburg 7:00 a.m.–6:00 p.m. CC-154A 7:00 a.m.–8:30 a.m. RH-Meeting Room 18 Speaker Management Room Technometrics Management Committee Business Meeting (closed) 7:00 a.m.–10:00 p.m. CC-East Registration Chair(s): William Notz, Technometrics Management Committee Cyber Center

7:00 a.m.–8:30 a.m. RH-Meeting Room 4 7:30 a.m.–8:30 a.m. CC-3rd Floor West Ear SPAIG Committee Meeting (closed) Communications in Statistics Editorial Meeting (closed) Chair(s): Jai Choi, Medical College of Georgia Organizer(s): Narayanaswamy Balakrishnan, McMaster University

7:00 a.m.–8:30 a.m. CC-303 7:30 a.m.–9:00 a.m. CC-210 ASA/SIAM Book Series Management Committee (closed) Committee on Membership Retention and Recruitment Chair(s): Martha Aliaga, ASA Meeting (closed) Chair(s): Mingxiu Hu, Millennium Pharmaceuticals/The Takeda 7:00 a.m.–8:30 a.m. RH-Meeting Room 5 Oncology Company Section on Statistical Education Executive Committee Meeting (closed) 7:30 a.m.–9:00 a.m. CC-2nd Floor Overlook West Chair(s): Robert delMas, The University of Minnesota Carnegie Mellon Alumni and Faculty Breakfast Chair(s): Margaret Smykla, Carnegie Mellon 7:00 a.m.–8:30 a.m. CC-302 Section on Statistics in Defense and National Security 7:30 a.m.–12:00 p.m. RH-Congressional A Executive Committee Business Meeting (closed) Biopharmaceutical Section Executive Committee Meeting Chair(s): Wendy Martinez, U.S. Department of Defense Chair(s): Anna B. Nevius, FDA

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7:30 a.m.–6:00 p.m. CC-East Registration 10:00 a.m.–11:30 a.m. RH-Congressional B ASA Membership/Special Assistance/Press Desk ASA Caucus of Academic Representatives Meeting Chair(s): Douglas Simpson, University of Illinois at 7:30 a.m.–6:00 p.m. CC-East Registration Urbana-Champaign JSM Main Registration 10:00 a.m.–12:00 p.m. CC-205 8:00 a.m.–9:00 a.m. CC-2nd Floor Overlook East COCGB Executive Committee Meeting (Closed) COCGB ISEF Breakfast Meeting Chair(s): John Hall, Mathematica Policy Research, Inc. Chair(s): Theresa Utlaut, Intel Corporation 10:00 a.m.–12:00 p.m. CC-2nd Floor Overlook West 8:00 a.m.–4:00 p.m. RH-Meeting Room 2 COCGB Status Committee Meeting (closed) Statistics in Support of National Defense Chair(s): John Boyer, Chair Chair(s): Wendy Martinez, U.S. Department of Defense 10:30 a.m.–2:00 p.m. CC-302 Monday 8:00 a.m.–5:00 p.m. Off Property JSM 2010 Program Committee Meeting (closed) Meeting Within a Meeting Statistics Workshop for K–12 Chair(s): Xuming He, University of Illinois at Urbana-Champaign Math and Science Teachers: K–4, 5–8, and 9–12 Strands (closed) 12:00 p.m.–1:45 p.m. RH-Meeting Room 18 Chair(s): Martha Aliaga, ASA ASA-Pfizer-University of Connecticut Lunch Meeting: Filming of Distinguished Statisticians 8:00 a.m.–6:00 p.m. CC-Hall D Organizer(s): Nitis Mukhopadhyay, University of Connecticut Career Placement Service 12:00 p.m.–2:00 p.m. CC-303 8:00 a.m.–6:00 p.m. CC-Hall D JCGS Editors’ Lunch Exhibitor Lounge Chair(s): Janet Wallace, JCGS Editorial Coordinator; David A. van Dyk, University of California, Irvine 8:30 a.m.–10:30 a.m. RH-Congressional C Advisory Committee on Continuing Education Business 12:00 p.m.–2:00 p.m. CC-210 Meeting (closed) Interface Board Meeting (closed) Chair(s): Xiaoming Sheng, University of Utah Organizer(s): David Marchette, Naval Surface Warfare Center

8:30 a.m.–4:30 p.m. Off Property 12:00 p.m.–5:30 p.m. CC-2nd Floor Overlook East Beyond AP Statistics (BAPS) Workshop for Experienced COCGB Status Committee Meeting (Closed) Teachers (closed) Chair(s): Roxy Peck, Cal Poly 12:30 p.m.–2:00 p.m. RH-Meeting Room 7 Committee on Gay and Lesbian Concerns in Statistics 9:00 a.m.–10:00 a.m. CC-2nd Floor Overlook East Business Meeting COCGB Planning Meeting Chair(s): Barry Johnson, Statistics of Income, IRS Chair(s): John Hall, Mathematica Policy Research, Inc. 12:30 p.m.–2:00 p.m. RH-Meeting Room 3 9:00 a.m.–10:00 a.m. RH-Meeting Room 3 IMS Editors’ Luncheon Transportation Statistics Interest Group Annual Meeting Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael Chair(s): Promod Chandhok, U.S. Department of Transportation Steele, IMS President; Nanny Wermuth, IMS President

9:00 a.m.–5:30 p.m. CC-East Registration 12:30 p.m.–2:00 p.m. RH-Meeting Room 4 ASA Marketplace Statistics in Medicine Editorial Board Meeting (closed) Organizer(s): Ralph B. D’Agostino, Sr., Boston University 9:00 a.m.–6:00 p.m. CC-Hall D EXPO 2009 12:30 p.m.–2:00 p.m. RH-Meeting Room 6 Section on Statistical Computing Executive Committee 9:00 a.m.–6:00 p.m. CC-Hall D Meeting (closed) American Statistical Association Booth #101 Chair(s): Jose C. Pinheiro, Novartis Pharmaceuticals

9:00 a.m.–7:00 p.m. CC-154A 2:00 p.m.–4:00 p.m. CC-157 Speaker Management Room Finance Committee Meeting (closed) Chair(s): J. Keith Ord, Georgetown University

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3:00 p.m.–5:00 p.m. RH-Meeting Room 3 5:00 p.m.–7:00 p.m. CC-208B CAUSE Activists Meeting CAUSE Activists Meeting Organizer(s): Dennis Pearl, The Ohio State University Chair(s): Dennis Pearl, The Ohio State University; Dennis Pearl, The Ohio State University 3:00 p.m.–6:00 p.m. CC-301 Section on Government Statistics Executive Board 5:00 p.m.–7:30 p.m. RH-Meeting Room 17 Meeting (closed) Committee on Statistics and Disability Annual Meeting Chair(s): Robert Lussier, Statistics Canada Chair(s): Joan L. Turek, U.S. Department of Health and Human Services 4:00 p.m.–5:00 p.m. RH-Meeting Room 4 Joint ASA-MAA Committee 5:00 p.m.–8:00 p.m. CC-202A Chair(s): Julie Legler, St. Olaf College Texas A&M University Department of Statistics Aggie Reunion (closed) 4:00 p.m.–5:30 p.m. RH-Meeting Room 19 Organizer(s): Simon Sheather, Professor and Head of Statistics Section on Statistics and Environment Executive Committee Meeting 5:30 p.m.–6:30 p.m. CC-142 Chair(s): Gretchen Moisen, ENVR Chair Russian and ex-USSR Statisticians Mixer Organizer(s): Stanislav Kolenikov, University of Missouri-Columbia 4:30 p.m.–6:00 p.m. CC-303 Section on Nonparametric Statistics Executive Committee 5:30 p.m.–6:30 p.m. CC-3rd Floor East Ear Meeting (closed) Caucus for Women in Statistics Business Meeting Chair(s): Doug Wolfe, The Ohio State University and Reception Organizer(s): Marcia Ciol, University of Washington 5:00 p.m.–6:00 p.m. CC-141 Journal of Quality Technology Editorial Review Board 5:30 p.m.–7:00 p.m. CC-157 Meeting (closed) Section on Statistics in Epidemiology Executive Organizer(s): Daniel Apley, Northwestern University Committee Meeting (closed) Chair(s): Philip Rosenberg, National Cancer Insitute; Philip 5:00 p.m.–6:00 p.m. CC-143A Rosenberg, National Cancer Institute SIGMEDD Annual Meeting Chair(s): Greg Campbell, Division of Biostatistics CDRH US FDA 5:30 p.m.–7:00 p.m. CC-144C International Indian Statistical Association Mixer and 5:00 p.m.–6:30 p.m. CC-101 Reception Section on Statistics in Sports Business Meeting Organizer(s): Subir Ghosh, University of California, Riverside Chair(s): Gilbert Fellingham, Brigham Young University 5:30 p.m.–7:00 p.m. CC-3rd Floor West Ear 5:00 p.m.–6:30 p.m. RH-Meeting Room 5 University of Georgia Reception for Alumni and Friends CDC & ATSDR Statisticians Business Meeting Organizer(s): John Stufken, The University of Georgia

5:00 p.m.–6:30 p.m. RH-Meeting Room 7 5:30 p.m.–7:00 p.m. CC-205 Committee on Student Pro Bono Statistics Business Section on Teaching of Statistics in the Health Sciences Meeting Business Committee Meeting and Mixer Chair(s): Andrea Rau, Purdue University Chair(s): Patrick Arbogast, Vanderbilt University

5:00 p.m.–7:00 p.m. CC-201 5:30 p.m.–7:00 p.m. CC-209A NISS/SAMSI Reception The University of North Carolina at Chapel Hill Department of Biostatistics and Statistics and Operations Research 5:00 p.m.–7:00 p.m. CC-209C Alumni Reception Statistical Society of Canada Reception Organizer(s): Michael Kosorok, The University of North Carolina Organizer(s): Bovas Abraham, University of Waterloo at Chapel Hill

5:00 p.m.–7:00 p.m. CC-204A 5:30 p.m.–7:00 p.m. RH-Meeting Room 6 RTI Reception (closed) (Hosted by Sally Morton) Biometrics Section Mixer and Business Meeting Organizer(s): Paula Sable, RTI International Chair(s): Daniel Heitjan, University of Pennsylvania

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5:30 p.m.–7:00 p.m. CC-149A 6:00 p.m.–9:00 p.m. RH-Meeting Room 16 IMS New Member and Student Welcome Reception Eli Lilly Faculty Reception (closed) Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael Organizer(s): Todd Sanger, Corporate Sponsor; Valerie Ghoston, Steele, IMS President; Nanny Wermuth, IMS President Eli Lilly

5:30 p.m.–7:00 p.m. RH-Meeting Room 18 6:00 p.m.–9:00 p.m. Off Property Strategic Planning Meeting Pomona College/Claremont Colleges Alumni Dinner Chair(s): Martha Gardner, General Electric Global Research Organizer(s): Donald L. Bentley, Pomona College

5:30 p.m.–7:30 p.m. CC-302 6:30 p.m.–7:30 p.m. RH-Grand Ballroom North Social Statistics Section Business Meeting ASA Longtime Member Reception Chair(s): Allen Schirm, Mathematica Policy Research, Inc. Chair(s): Mingxiu Hu, Millennium Pharmaceuticals/The Takeda Oncology Company 5:30 p.m.–8:30 p.m. RFD Washington, 810 7th St. NW Monday Section on Health Policy Statistics Business Meeting 6:30 p.m.–8:00 p.m. CC-202B and Mixer CRC Press Reception (closed) Chair(s): Susan Paddock, RAND Corporation Organizer(s): Nadja English, Chapman & Hall/CRC Press

6:00 p.m.–7:00 p.m. RH-Suite 1240 6:30 p.m.–8:00 p.m. CC-2nd Floor Overlook East ASA President’s Invited Speaker Reception AAAS S&T Policy Fellowships: How to Become a (by invitation only) Policy-Savvy Scientist Chair(s): Sally C. Morton, RTI International Organizer(s): Dan Poux, AAAS

6:00 p.m.–7:30 p.m. RH-Meeting Rooms 12, 13, 14 7:00 p.m.–8:00 p.m. RH-Meeting Room 7 Korean Statisticians Annual Meeting International Indian Statistical Association Executive Board Organizer(s): Sin-Ho Jung, Duke University Meeting (closed) Organizer(s): Subir Ghosh, University of California, Riverside 6:00 p.m.–7:30 p.m. RH-Meeting Room 4 Section on Statistics and the Environment Business 7:00 p.m.–9:00 p.m. RH-Meeting Room 2 Meeting and Mixer Southern Methodist University Alumni Social Gathering Chair(s): Gretchen Moisen, U.S. Forest Service Organizer(s): Wayne Woodward, Department of Statistical Science

6:00 p.m.–7:30 p.m. CC-153 7:30 p.m.–10:00 p.m. RH-Renaissance Ballroom West B Christian Statisticians’ Informal Discussion Group Joint Statistical Computing Section and Section on Organizer(s): James Ward, Sand Point Statistics Group Statistical Graphics Meeting and Mixer Chair(s): Antony Unwin, Uni Augsburg; Jose C. Pinheiro, 6:00 p.m.–8:00 p.m. CC-210 Novartis Pharmaceuticals Section on Survey Research Methods Executive Committee Meeting 9:30 p.m.–11:00 p.m. CC-Ballroom South Prefunction Chair(s): Roderick J.A. Little, University of Michigan IMS Presidential Address Reception Organizer(s): Elyse Gustafson, IMS Executive Director; 6:00 p.m.–8:00 p.m. RH-Grand Ballroom Central J. Michael Steele, IMS President; Nanny Wermuth, IMS President JSM Student Mixer Chair(s): Mingxiu Hu, Millennium Pharmaceuticals/The Takeda Oncology Company

6:00 p.m.–8:00 p.m. RH-Meeting Room 3 Continuing Education (Fee Events) University of Washington Biostatistics-Statistics Alumni CE_14C Reception (closed) Methodology for Competing Outcomes: The Analysis of Organizer(s): Andrew Zhou, University of Washington Department of Biostatistics Multiple Mutually Exclusive Endpoints in a Clinical Trial 8:00 a.m.–12:00 p.m. RH-Meeting Rooms 12,13,14 6:00 p.m.–8:00 p.m. CC-2nd Floor Overlook West ASA, Biometrics Section Joint Section on Risk Analysis and Statistics in Instructor(s): David C. Naftel, The University of Alabama Defense and National Security Meeting and Mixer at Birmingham Chair(s): Wendy Martinez, U.S. Department of Defense; A. John Bailer, Miami University

Washington, DC 69 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

CE_15C Roundtables with Coffee Optimum Experimental Designs 8:30 a.m.–5:00 p.m. RH-Meeting Room 15 7:00 a.m.–8:15 a.m. ASA Instructor(s): Anthony Atkinson, London School of Economics; 80 CC-Ballroom South Prefunction Randall Tobias, SAS Institute Inc. Section for Statistical Programmers and CE_16C Analysts Roundtables with Coffee (fee event) Dose-Finding Studies: Methods and Implementation Section for Statistical Programmers and Analysts 8:30 a.m.–5:00 p.m. RH-Renaissance Ballroom West A Organizer(s): Chengying Wu, sanofi-aventis ASA, Biopharmaceutical Section Instructor(s): Frank Bretz, Norvartis, Switzerland; Jose C. Pinheiro, ML01 Improving Health Care Using Data Standards—◆Scott Novartis Pharmaceuticals Moseley, Vertex Pharmaceuticals, Inc. ML02 Publishing an R Package—◆Jason Wilson, CE_17C Biola University Bayesian Inference 8:30 a.m.–5:00 p.m. RH-Meeting Room 16 ASA, Section on Bayesian Statistical Science 81 CC-Ballroom South Prefunction Instructor(s): Bruno Sanso, University of California, Santa Cruz Section on Government Statistics Roundtable CE_18C with Coffee (fee event) Experiences and Pitfalls in Reliability Data Analysis and Section on Government Statistics Test Planning Organizer(s): Lisa Blumerman, U.S. Census Bureau 8:30 a.m.–5:00 p.m. RH-Meeting Rooms 10 & 11 ASA, Section on Physical and Engineering Sciences ML03 Managing Surveys in a Disrupted Environment—◆Carol Instructor(s): William Q. Meeker, Iowa State University House, National Agricultural Statistics Service

CE_19C Methods for Designing and Analyzing Mixture Experiments 82 CC-Ballroom South Prefunction 8:30 a.m.–5:00 p.m. RH-Meeting Rooms 8 & 9 Section on Health Policy Statistics Roundtable ASA, Section on Physical and Engineering Sciences with Coffee (fee event) Instructor(s): John A. Cornell, University of Florida; Greg Piepel, Pacific Northwest National Laboratory Section on Health Policy Statistics Organizer(s): Susan Paddock, RAND Corporation CE_20C Multiple Imputation of Missing Data ML04 Challenges in Applying Regression Methods to 8:30 a.m.–5:00 p.m. RH-Renaissance Ballroom West B Preference-Scored Indexes of HRQoL—◆Mari Palta, ASA University of Wisconsin-Madison Instructor(s): Paul D. Allison, University of Pennsylvania

CE_21C 83 CC-Ballroom South Prefunction Evaluating Probability of Success for Internal Section on Statistics in Epidemiology Decisionmaking in Early Drug Development 1:00 p.m.–5:00 p.m. RH-Meeting Rooms 12,13,14 Roundtable with Coffee (fee event) Section on Statistics in Epidemiology ASA, Biopharmaceutical Section Organizer(s): Ruth Pfeiffer, National Cancer Institute Instructor(s): Martin King, Abbott Laboratories; Narinder Nangia, Abbott Laboratories; Jane Qian, Abbott Laboratories ML05 New Methods and Resources for Gerontologic Biostatisticians—◆Peter H. Van Ness, Yale University

70 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

84 CC-Ballroom South Prefunction 9:50 a.m. Pitfalls in Estimating Asymmetric Effects of Energy Section on Statistical Education Roundtable Price Shocks—◆Lutz Kilian, University of Michigan with Coffee (fee event) 10:15 a.m. Floor Discussion Section on Statistical Education Organizer(s): Tisha L. Hooks, Winona State University 87 CC-201 ML06 Implementing GAISE in Large Classes of Introductory Statistics in BioSciences: The ICSA New Statistics—◆Patti B. Collings, Brigham Young University Journal—Invited International Chinese Statistical Association Organizer(s): Xihong Lin, Harvard School of Public Health; Kuang-Kuo (Gordon) Lan, Johnson & Johnson PRD Chair(s): Xihong Lin, Harvard School of Public Health Special Presentation Monday 8:30 a.m.–10:20 a.m. 8:35 a.m. Elucidation of Clinical Trial Intervention Effects Using Genomic and Proteomic Discovery Platforms—◆Ross L. Prentice, Fred Hutchinson 85 CC-202A Cancer Research Center/University of Washington Introductory Overview Lecture: Spatial Data 9:05 a.m. Hierarchical Functional Data: Semiparametric and Analysis—Other Nonparametric Methods for Modeling Functional ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical Dependence with Application to Colonic Crypt Association, International Indian Statistical Association Signaling—◆Raymond J. Carroll, Texas A&M University Organizer(s): Wendy Martinez, U.S. Department of Defense Chair(s): Petrutza Caragea, Iowa State University 9:35 a.m. Predicting Future Outcomes via Empirical, Possibly Misspecified Regression Models—◆Lee-Jen Wei, Harvard University 8:35 a.m. Spatial Statistical Thinking—◆Noel A. Cressie, The Ohio State University 10:05 a.m. Floor Discussion 10:00 a.m. Floor Discussion

88 CC-202B ■ ✪ Professional Statistics and Graphics with Invited Sessions Spreadsheets Using the RExcel Interface 8:30 a.m.–10:20 a.m. Interface—Invited General Methodology, Section on Statistical Graphics, 86 CC-208A Interface Foundation of North America ■ ✪ Statistical Techniques for Estimating DSGE Organizer(s): Naomi B. Robbins, NBR Graphs; Richard M. Models and Macroeconomic Policy Analysis— Heiberger, Temple University Invited Chair(s): Naomi B. Robbins, NBR Graphs Business and Economic Statistics Section, Section on Government Statistics 8:35 a.m. RExcel in Introductory and Advanced Statistics Organizer(s): Atsushi Inoue, North Carolina State University Courses—◆Richard M. Heiberger, Temple Chair(s): Barbara Rossi, Duke University University 9:05 a.m. RExcel: Powerful Statistics Within an Office 8:35 a.m. Testing for Identification in Possibly Nonlinear Software Environment—◆Erich Neuwirth, Models—◆Atsushi Inoue, North Carolina State University of Vienna University; Barbara Rossi, Duke University 9:35 a.m. R and Excel in Industrial and Consulting 9:00 a.m. DSGE Model-Based Forecasting of Nonmodeled Environments—◆Christian Ritter, Université Variables—◆Frank Schorfheide, University of catholique de Louvain Pennsylvania; Keith Sill, Federal Reserve Bank 10:05 a.m. Floor Discussion of Philadelphia 9:25 a.m. Statistical Techniques for Estimating DSGE Models and Macroeconomic Policy Analysis— ◆Christopher Otrok, University of Virginia; Eric Young, University of Virginia

Washington, DC 71

GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

89 CC-101 91 CC-144B ■ ✪ Advancing Health Outcomes Measurement: ■ ✪ Statistical Approaches for Studying The NIH Patient-Reported Outcomes Synergism of Genes and Environment in Measurement Information System Epidemiologic Studies—Invited (PROMIS)—Invited Section on Statistics in Epidemiology, Section on Bayesian Section on Health Policy Statistics, Social Statistics Section, Statistical Science, International Indian Statistical Association Biopharmaceutical Section, Section on Government Statistics Organizer(s): Brisa Sanchez, University of Michigan Organizer(s): Bryce B. Reeve, National Cancer Institute Chair(s): Brisa Sanchez, University of Michigan Chair(s): James O’Malley, Harvard Medical School 8:35 a.m. The Impact of the Winner’s Curse on Parameter 8:35 a.m. Advancing Health Outcomes Measurement: The Estimation and False Positive Rates in Studies NIH Patient-Reported Outcomes Measurement Involving Environmental Exposure Data—

Information System (PROMIS)—◆Bryce B. Reeve, ◆Sebastian Zöllner, University of Michigan Monday National Cancer Institute 9:00 a.m. Using Nuclear Families to Study Haplotype-by- 9:00 a.m. Challenges and Advantages for PROMIS Environment Interaction—◆Clarice R. Weinberg, Instruments for Clinical Studies—◆Dennis A. National Institute of Environmental Health Sciences; Revicki, United BioSource Corporation Min Shi, National Institute of Environmental Health Sciences; David Umbach, National Institute of 9:25 a.m. Psychometric Evaluation of PROMIS: IRT Environmental Health Sciences Calibration, DIF, Scaling, and Validity—◆Wen-Hung Chen, United BioSource Corporation; Ron D. Hays, 9:25 a.m. Detecting Gene-Gene Interactions Using Genome- University of California, Los Angeles; Bryce B. Reeve, Wide Association Studies in Presence of Population National Cancer Institute Stratification—Samsiddhi Bhattacharjee, National Cancer Institute; ◆Nilanjan Chatterjee, National 9:50 a.m. Disc: Steven B. Clauser, National Cancer Institute Cancer Institute 10:10 a.m. Floor Discussion 9:50 a.m. Bayesian Methods for Two-Phase Studies of Gene-Environment Interaction—◆Bhramar Mukherjee, University of Michigan 90 CC-102B 10:15 a.m. Floor Discussion ■ ✪ O’ Privacy, Where Art Thou? Mapping the Landscape of Data Confidentiality—Invited Social Statistics Section, Committee on Privacy and 92 CC-159A Confidentiality, Section on Survey Research Methods, From Climate to Weather: Regionalizing Climate Section on Government Statistics Models—Invited Organizer(s): Aleksandra B. Slavkovic, Penn State University; Section on Statistics and the Environment, Section on Bayesian Adam D. Smith, Penn State University Statistical Science Chair(s): Aleksandra B. Slavkovic, Penn State University Organizer(s): Mark S. Kaiser, Iowa State University Chair(s): Stephan R. Sain, National Center for Atmospheric Research 8:35 a.m. Rethinking Privacy and Disclosure Limitation from a Cryptographic Perspective—◆Cynthia Dwork, Microsoft Research 8:35 a.m. Combining Ensembles of Regional Climate Model Output Using Markov Random Field Models— 9:00 a.m. Rethinking the Risk-Utility Tradeoff Approach ◆Reinhard Furrer, Colorado School of Mines to Statistical Disclosure Limitation—◆Stephen Fienberg, Carnegie Mellon University 9:00 a.m. Modeling of Precipitation Extremes from Regional Climate Models—◆Daniel Cooley, Colorado State 9:25 a.m. Rethinking Official Statistical Disclosure Limitation University; Stephan R. Sain, National Center for Procedures from a Cryptographic Privacy Atmospheric Research Perspective—◆John M. Abowd, Cornell University 9:25 a.m. Spatial Latent Variable Modeling for Integrating 9:50 a.m. Disc: Laura Zayatz, U.S. Census Bureau Output from Multiple Climate Models—◆William F. 10:00 a.m. Disc: Marilyn Seastrom, National Center for Christensen, Brigham Young University; Stephan R. Education Statistics Sain, National Center for Atmospheric Research 10:10 a.m. Floor Discussion 9:50 a.m. Statistical Issues in Regionalization of Climate Models—◆Mark S. Kaiser, Iowa State University; Gene Takle, Iowa State University 10:15 a.m. Floor Discussion

Washington, DC 73 Room 209C Walter E. Washington Convention Center GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

93 CC-204B 96 CC-144A Threshold Estimation—Invited ■ ✪ Continued Use of Family Data in Statistical IMS Genetics—Invited Organizer(s): Moulinath Banerjee, University of Michigan ENAR, Section on Statistics in Epidemiology Chair(s): Moulinath Banerjee, University of Michigan Organizer(s): Rui Feng, University of Pennsylvania Chair(s): Hemant Tiwari, The University of Alabama at Birmingham 8:35 a.m. Detecting Streaming Motion in Dwarf Spheroidal Galaxies Using Threshold Models—◆Bodhisattva 8:35 a.m. An Association Test for Multiple Traits—◆Heping Sen, Columbia University Zhang, Yale University; Ching-Ti Liu, Boston 9:00 a.m. Asymptotics of Change-Point--Type Parameter University; Xueqin Wang, Sun-Yat Sen University; Estimates Under a Changing Sequence of Sampling Wensheng Zhu, Yale University Distributions—◆Rui Song, Colorado State University; 9:00 a.m. Screening and Replication Using the Same Data

Moulinath Banerjee, University of Michigan; Michael Set: Testing Strategies for Family-Based Studies Monday Kosorok, The University of North Carolina at in Which All Probands Are Affected—◆Christophe Chapel Hill Lange, Harvard University 9:25 a.m. Two Approaches to Thresholding in Functional 9:25 a.m. A Weighted Family-Based Genome-Wide Neuroimaging—◆Jonathan Taylor, Stanford Association Strategy—◆Matthew B. McQueen, University University of Colorado 9:50 a.m. Tests and Estimates for the Magnitude of Threshold 9:50 a.m. Are Pedigree Data Necessary and Critical in Effects—◆David Siegmund, Stanford University Modern Genomic Studies?—Robert C. Elston, 10:15 a.m. Floor Discussion Case Western Reserve University; ◆Kathleen R. Merikangas, National Institutes of Health 10:15 a.m. Floor Discussion 94 CC-209B Semiparametric Model Estimation and Selection—Invited IMS, International Chinese Statistical Association, Invited Panels 8:30 a.m.–10:20 a.m. International Chinese Statistical Association Organizer(s): Guang Cheng, Purdue University Chair(s): Guang Cheng, Purdue University 97 CC-206 ■ ✪ Real-Life Ethical Dilemmas Encountered in the Practice of Statistics: Resolution Leading to 8:35 a.m. Large-Sample Theory for Penalized Splines— ◆David Ruppert, Cornell University Policy Change—Invited Committee on Professional Ethics, Section on Survey 9:05 a.m. Variable Selection for Partially Linear Models Research Methods, Social Statistics Section, Section on with Measurement Errors—◆Runze Li, Penn Government Statistics State University Organizer(s): Donald L. Bentley, Pomona College; Shelley Hurwitz, 9:35 a.m. On Varying Coefficient Models Stratified by a Harvard Medical School/Brigham and Women’s Hospital Functional Covariate—◆Jianhua Huang, Chair(s): Shelley Hurwitz, Harvard Medical School/Brigham Texas A&M University and Women’s Hospital 10:05 a.m. Floor Discussion Panelists: ◆Peter B. Imrey, Cleveland Clinic Foundation ◆Mark G. Haug, The University of Kansas 95 CC-207A ◆Barbara A. Bailar, NORC at the University IMS Medallion Lecture II—Invited of Chicago ◆ IMS, Section on Bayesian Statistical Science Ingram Olkin, Stanford University Organizer(s): Xiaotong Shen, The University of Minnesota 10:05 a.m. Floor Discussion Chair(s): Marina Meila, University of Washington

8:35 a.m. From R. A. Fisher to Microarrays: Why 70-Year- Old Theory Is Relevant Today—◆George Casella, University of Florida 10:00 a.m. Floor Discussion

Washington, DC 75 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

98 CC-207B 100 CC-158A Statistics Groups in Industry: Rise, Decline, and ■ Student Paper Competition: Bayesian Improvement—Invited Inference/Modeling for Non-Gaussian Data— Section on Quality and Productivity Topic-Contributed Organizer(s): Donald McCormack, SAS Institute Inc. Section on Bayesian Statistical Science Chair(s): Donald McCormack, SAS Institute Inc. Organizer(s): Michael J. Daniels, University of Florida Chair(s): Timothy D. Johnson, University of Michigan Panelists: ◆Lynne Hare, Consultant ◆Roger Hoerl, General Electric 8:35 a.m. Bayesian Modeling of Non-Gaussian Geostatistical Data via Copulas—◆Souparno Ghosh, Texas A&M ◆William Kahn, Travelers Insurance University; Bani K. Mallick, Texas A&M University ◆Charles Taylor, Procter & Gamble 8:55 a.m. Bayesian Inference for the Stereotype Regression ◆Jose G. Ramirez, W.L. Gore and Associates, Inc. Model: Application to a Case-Control Study of 10:15 a.m. Floor Discussion Prostate Cancer—◆Jaeil Ahn, University of Michigan; Bhramar Mukherjee, University of Michigan 9:15 a.m. Robust Bayesian Sample Size Determination for a Binomial Proportion with Application to the Design Topic-Contributed Sessions of Phase II Cancer Clinical Trials—◆Ming Yang, The 8:30 a.m.–10:20 a.m. University of Iowa 9:35 a.m. A Generalized Skewed Model for Binary Response Data—◆Xia Wang, University of Connecticut; Dipak 99 CC-142 K. Dey, University of Connecticut Novel Applications of Linear Models in 9:55 a.m. A Full Gibbs Sampler for a Multinomial Probit Model Surveys—Topic-Contributed with Endogeneity—◆Lane Burgette, University of Section on Survey Research Methods Wisconsin-Madison; Erik Nordheim, University of Wisconsin-Madison Organizer(s): Roderick J.A. Little, University of Michigan Chair(s): Roderick J.A. Little, University of Michigan 10:15 a.m. Floor Discussion

8:35 a.m. Ratio Estimation of the Mean with Unequal Probability Samples: Hansen, Madow, and Tepping Revisited—◆Fotios Kokkotos, Trinity Partners LLC; 101 CC-144C Roderick J.A. Little, University of Michigan ■ Inferring Connectivity in the Human Brain— 8:55 a.m. Modified Ratio Estimators in Simple Random Topic-Contributed Sampling—◆Evrim Oral, Louisiana State Biometrics Section University Health Sciences Center; Cem Organizer(s): Philip T. Reiss, New York University Kadilar, Hacettepe University Chair(s): Hernando Ombao, Brown University 9:15 a.m. Probability Sample Designs That Impose Linear Models on Sample Data and Provide Best Linear 8:35 a.m. Modeling Brain Pathways Using Functional Path Unbiased Estimators—◆Stephen Woodruff, Analysis—◆Martin Lindquist, Columbia University Specified Designs 8:55 a.m. Shrinkage Estimation and Inferential Procedures 9:35 a.m. Model-Based Approach to Small Area Estimation for Functional Connectivity—◆Mark Fiecas, Brown of Disability Count and Rate Using Data from the University; Hernando Ombao, Brown University; 2006 Participation and Activity Limitation Survey— Crystal Linkletter, Brown University; Wesley K. ◆Valerie Bizier, Statistics Canada Thompson, University of California, San Diego; 9:55 a.m. Some Methods of Model-Based Sampling— Jerome Sanes, Brown University ◆Sung-Joon Hong, Dongguk University; So-Hyung 9:15 a.m. Permutation Tests for Differential Functional Park, Dongguk University; Sun-Woong Kim, Connectivity—◆Philip T. Reiss, New York University; Dongguk University; Hong-Yup Ahn, Dongguk Eva Petkova, New York University; Zarrar Shehzad, University; Steven G. Heeringa, University University of California, Los Angeles; Michael P. of Michigan Milham, New York University; M.H. Henry Stevens, 10:15 a.m. Floor Discussion Miami University

76 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. Multiscale Adaptive GEE Methods for Longitudinal 9:15 a.m. Performance Characteristic of a Confidence Interval Imaging Data—◆Yimei Li, The University of North Approach for Safety Data Monitoring—◆Huyuan Carolina at Chapel Hill; Hongtu Zhu, The University Yang, Boston Scientific Corporation; Haiying Lin, of North Carolina at Chapel Hill; Joseph G. Ibrahim, Boston Scientific Corporation; Hiroshi Fujimoto, The University of North Carolina at Chapel Hill; Boston Scientific Japan K.K Dinggang Shen, The University of North Carolina 9:35 a.m. Can We Combine Multiple Condition of Approval at Chapel Hill Studies?—◆Shelby Li, Medtronic, Inc.; An Liu, 9:55 a.m. Network Analysis on Resting-State fMRI— Medtronic, Inc.; Hongyan Qiao, Medtronic, Inc.; ◆Sang-Han Lee, Nathan S. Kline Institute for Scott McRae, Medtronic, Inc. Psychiatric Research; Johan Lim, Seoul 9:55 a.m. Disc: Ning Li, FDA National University 10:15 a.m. Floor Discussion 10:15 a.m. Floor Discussion Monday 104 CC-208B 102 CC-150B Revisions and Regression Effects in Official ■ Modeling of Multicenter Trials: Recruitment Time Series—Topic-Contributed and Drug Supply—Topic-Contributed Business and Economic Statistics Section, Section on Biopharmaceutical Section Government Statistics Organizer(s): Vladimir V. Anisimov, GlaxoSmithKline Organizer(s): Tucker S. McElroy, U.S. Census Bureau Chair(s): Valerii Federov, GlaxoSmithKline Chair(s): Peter B. Kenny, PBK Research

◆ 8:35 a.m. Interim Enrollment Adjustment— Valerii V. 8:35 a.m. A Review of Revisions—◆Gary Brown, Office for Fedorov, GlaxoSmithKline; Frank Mannino, National Statistics; Tullio Buccellato, Office for GlaxoSmithKline National Statistics; Nigel Stuttard, Office for National 8:55 a.m. Predictive Modeling of Recruitment and Drug Statistics; Robin Youll, Office for National Statistics ◆ Supply in Multicenter Trials— Vladimir V. 8:55 a.m. Revision Analysis of Key Economic Indicators: Anisimov, GlaxoSmithKline A Comparison Between Euro Area and US Data— 9:15 a.m. Simulating Drug Supply for Adaptive Trials— ◆Dominique Ladiray, Insee; Gian Luigi Mazzi, ◆Nitin R. Patel, Cytel, Inc. Eurostat 9:35 a.m. Simulating Clinical Trials in Order to Optimize the 9:15 a.m. Sources of Revisions of Seasonally Adjusted Real- Drug Supply—◆Tom Parke, Tessella Time Data—◆Jens Mehrhoff, Deutsche Bundesbank 9:55 a.m. A New Framework for Building an Optimal Clinical 9:35 a.m. Investigating Quarterly Trading Day Effects— Trial Supply Chain—◆Cosimo Spera, DecisionView ◆Kathleen M. McDonald-Johnson, U.S. Census 10:15 a.m. Floor Discussion Bureau; David Findley, U.S. Census Bureau; Erica Cepietz, U.S. Census Bureau 9:55 a.m. Comparison of X-12-ARIMA Trading Day and Holiday Regressors with Country-Specific 103 CC-149A Regressors—◆Christopher Roberts, University of Missouri-Columbia Scott Holan, University ■ ; Postmarket Issues in Medical Devices— of Missouri-Columbia; Brian C. Monsell, U.S. Topic-Contributed Census Bureau Biopharmaceutical Section 10:15 a.m. Floor Discussion Organizer(s): Vandana Mukhi, FDA Chair(s): Vandana Mukhi, FDA

8:35 a.m. Reporting of a Standardized Incidence Rate for Recurrent Adverse Events—◆John C. Evans, Boston Scientific Corporation; Wen Ding, Boston Scientific Corporation; Jian Huang, Boston Scientific Corporation; Vivek Pradhan, Boston Scientific Corporation 8:55 a.m. Statistical Practice and Post-Market Trials/ Databases: Some Perspectives—◆Gosford A. Sawyerr, Purdue Pharma, LP

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105 CC-158B 9:15 a.m. Analysis of the Distributions of Income, Taxes, and ■ ✪ Horizontal and Vertical Equity Using Cross-Section Recent Developments of Bayesian Methods and Panel Data from Individual Tax Returns— for Missing Data—Topic-Contributed ◆Michael Strudler, IRS; Thomas Petska, IRS; Section on Bayesian Statistical Science, Biometrics Section, Ryan Petska, Ernst and Young LLP Biopharmaceutical Section 9:35 a.m. Getting to Know US Taxpayers: Selected Tax Data Organizer(s): Ming-Hui Chen, University of Connecticut by Occupation and Industry, Tax Years 2003-- Chair(s): Lan Huang, National Cancer Institute 2005—◆Mary Jezek, IRS; Terry Nuriddin, IRS; Mario Fernandez, IRS 8:35 a.m. Bayesian Variable Selection Methods Applied to 9:55 a.m. Using Sample Data to Reduce Nonsampling Traffic Fatality Data—◆Gail Blattenberger, The Error in Small-Area Estimation—◆Jana Scali, University of Utah; Richard Fowles, The University IRS; Kimberly Henry, IRS; Parthasarathi Lahiri, of Utah; Peter Loeb, Rutgers University University of Maryland 8:55 a.m. Learning Bayesian Networks for Discrete Data— 10:15 a.m. Floor Discussion ◆Faming Liang, Texas A&M University; Jian Zhang, The University of York 9:15 a.m. Bayesian Analysis of Spatially Correlated and Repeated Ordinal Response Data with Time- Topic-Contributed Panels Dependent Missing Covariates—◆Fang Yu, University of Nebraska Medical Center; Ming-Hui 8:30 a.m.–10:20 a.m. Chen, University of Connecticut; Sudipto Banerjee, The University of Minnesota; Lan Huang, National Cancer Institute; Gregory J. Anderson, University 107 CC-204A of Connecticut ■ Promoting Statistics Education Research— 9:35 a.m. Bayesian Choice of Links and Computation in Topic-Contributed Binary Regression Models—◆Ming-Hui Chen, Section on Statistical Education University of Connecticut; Sungduk Kim, National Organizer(s): Joan B. Garfield, The University of Minnesota Institute of Child Health and Human Development; Chair(s): Joan B. Garfield, The University of Minnesota Lynn Kuo, University of Connecticut; Wangang Xie, University of Connecticut Panelists: ◆Beth Chance, Cal Poly 9:55 a.m. Variable Selection in Joint Model: A Semiparametric Bayesian Approach—◆Pulak Ghosh, Novartis ◆Dennis Pearl, The Ohio State University Pharmaceuticals; Bo Cai, University of South ◆Pam Arroway, North Carolina State University Carolina; Nicole Lazar, The University of Georgia ◆Sterling Hilton, Brigham Young University 10:15 a.m. Floor Discussion 10:15 a.m. Floor Discussion

106 CC-204C 108 CC-143B ■ ✪ Longitudinal Individual Income Tax Return ■ ✪ Model versus Randomization-Based Sample Design and Analysis and Other Inference from Group Randomized Trials— Individual Income Tax Return Research— Topic-Contributed Topic-Contributed Social Statistics Section, Biometrics Section, Section on Survey Section on Government Statistics, Section on Survey Research Methods Research Methods Organizer(s): David R. Judkins, Westat, Inc. Organizer(s): Michael Weber, IRS Chair(s): David R. Judkins, Westat, Inc. Chair(s): Thomas Petska, IRS Panelists: ◆David M. Murray, The Ohio State University 8:35 a.m. Redesign of SOI’s Individual Income Tax ◆Lisa M. LaVange, The University of North Carolina Return Edited Panel Sample—Yan K. Liu, IRS; at Chapel Hill Gerald Auten, U.S. Department of the Treasury; ◆Jennifer Hill, New York University Michael Strudler, IRS; ◆Valerie Testa, IRS ◆Keith E. Muller, University of Florida 8:55 a.m. Can Taxpayer Characteristics Determine the Possibility of Filing Future Tax Returns?— ◆Stuart Kerachsky, U.S. Department of Education ◆Victoria Bryant, IRS 10:15 a.m. Floor Discussion

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109 CC-102A 111 CC-155 ■ ✪ Efforts to Assist Users with American Zero-Inflated Models and Multi-Stage Models— Community Survey Data—Topic-Contributed Contributed Section on Government Statistics, Section on Survey Biometrics Section Research Methods Chair(s): Krishna K. Saha, Central Connecticut State University Organizer(s): Deborah H. Griffin, U.S. Census Bureau Chair(s): Susan Schechter, U.S. Census Bureau 8:35 a.m. Dynamic Predicting by Landmarking as an Alternative for Multistate Modeling: An Application Panelists: ◆Deborah H. Griffin, U.S. Census Bureau to Acute Lymphoid Leukemia Data—◆Hans C. van Houwelingen, Leiden University Medical Center; ◆Lynn Weidman, U.S. Census Bureau Hein Putter, Leiden University Medical Center ◆Pamela M. Klein, U.S. Census Bureau 8:50 a.m. Modeling Censored Counts with Excessive Zeros ◆Robert P. Parker, Consultant on Federal Statistics and Within-Subject Correlations in an Animal Study Monday ◆Jane Traynham, Maryland Department of Planning Mimicking Human Ductal Carcinoma in Situ— ◆Hung-Wen Yeh, The University of Kansas Medical 10:15 a.m. Floor Discussion Center; Byron J. Gajewski, The University of Kansas; Fariba Behbod, The University of Kansas Medical Center 9:05 a.m. Latent Class Predictions for Subsequent Analysis— Contributed Sessions ◆Janne Petersen, Copenhagen University Hospital, Hvidovre; Karen Bandeen-Roche, Johns Hopkins 8:30 a.m.–10:20 a.m. Bloomberg School of Public Health; Klaus G. Larsen, Lundbeck; Ove Andersen, Copenhagen University 110 CC-153 Hospital, Hvidovre; Esben Budtz-Jørgensen, General Methodology II—Contributed University of Copenhagen 9:20 a.m. Use of Zero-Inflated Mixture Models to Compare Biometrics Section Antigen-Specific IgE Levels Among Subpopulations Chair(s): Jeffrey R. Wilson, Arizona State University of Atopic Dermatitis Patients—◆Daniel Zaccaro, Rho, Inc.; Brian Armstrong, Rho, Inc.; Natalija 8:35 a.m. Testing Noninferiority for Clustered Matched Pair Novak, University of Bonn; Thomas Bieber, Studies—◆Jun-mo Nam, National Cancer Institute University of Bonn 8:50 a.m. Asymptotic Confidence Interval for the Over- 9:35 a.m. Identifying an Optimal Risk Window Length for Dispersion Parameter with Applications to Self-Controlled Case Series Studies—Lijing Biological Count Data—Krishna K. Saha, Central Zhang, Kaiser Permanente Colorado; ◆Stanley Xu, Connecticut State University; ◆Debaraj Sen, Kaiser Permanente Colorado; Chan Zeng, Kaiser Concordia University; Roger Bilisoly, Central Permanente Colorado ; Jennifer Nelson, Group Connecticut State University Health Center for Health Studies; John Mullooly, Kaiser Permanente Northwest; David McClure, 9:05 a.m. The Theil-Sen Estimators in a Multiple Regression Kaiser Permanente Colorado; Jason Glanz, Model When Covariates Are Nonrandom— Kaiser Permanente Colorado ◆Fang Li, Indiana University-Purdue University Indianapolis; Hanxiang Peng, Indiana University 9:50 a.m. Modeling W-Shaped Data—◆Robert J. Gallop, Purdue University Indianapolis West Chester University; Randall H. Rieger, West Chester University; Scott McClintock, 9:20 a.m. Power Computation in Testing Hardy-Weinberg West Chester University Equilibrium—◆Marepalli B. Rao, University of Cincinnati; Subramaniam Venkatesan, University of 10:05 a.m. Floor Discussion Cincinnati; Subramanyam Kasala, The University of North Carolina at Wilmington 9:35 a.m. Single-Stage Simultaneous Confidence Intervals Under Heteroscedasticity—◆Miin-Jye Wen, 112 CC-148 National Cheng-Kung University Semiparametric Methods—Contributed 9:50 a.m. Statistical Evaluation of Modality Test of Probability Section on Nonparametric Statistics Density Function—◆Mi-Chia Ma, National Cheng Chair(s): F. Michael Speed, Texas A&M University Kung University; Hui-Ting Hsu, National Cheng Kung University 8:35 a.m. Two-Sample Semiparametric Proportional Odds 10:05 a.m. Floor Discussion Model with Application to ROC Curve—◆Zhong Guan, Indiana University South Bend; Cheng Peng, University of Southern Maine

Washington, DC 79 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

8:50 a.m. Estimating the Error Distribution in Semiparametric 9:50 a.m. On the Behrens-Fisher Problem: A Globally Additive Regression—◆Ursula U. Müller-Harknett, Convergent Algorithm and a Finite-Sample Study Texas A&M University; Anton Schick, Binghamton of the Wald, LR, and LM Tests—◆Alexandre Belloni, University; Wolfgang Wefelmeyer, University Duke University; Gustavo Didier, Tulane University of Cologne 10:05 a.m. Robust Testing of Variability—◆Philip H. Ramsey, 9:05 a.m. Maximum Likelihood Computation for Fitting Queens College of CUNY; Patricia P. Ramsey, Semiparametric Mixture Models—◆Yong Wang, Fordham University University of Auckland 9:20 a.m. Efficient Estimation for Generalized Linear Model with Varying Dispersion—◆Zhi He, University of Illinois at Urbana-Champaign; Douglas Simpson, 114 CC-143A University of Illinois at Urbana-Champaign ■ U.S. Census 2010, American Community 9:35 a.m. Estimation and Variable Selection for Survey, and Canadian Census of Agriculture— Semiparametric Additive Partial Linear Models— Contributed ◆Xiang Liu, University of Rochester Medical Center; Section on Survey Research Methods, Section on Li (Lily) Wang, The University of Georgia; Hua Liang, Government Statistics University of Rochester Chair(s): Stephen M. Miller, Bureau of Labor Statistics 9:50 a.m. Stochastic Ordering Regression: A Semiparametric Approach to Modeling the Stochastic Ordering of Response Variables Conditional on Predictors— 8:35 a.m. Sample Design for the Census 2010 Experimental ◆Olivier Thas, Ghent University; Jan R. De Neve, Program—◆Michael Bentley, U.S. Census Bureau Ghent University; Lieven Clement, Ghent University; 8:50 a.m. Coverage of the Canadian Census of Agriculture— Jean-Pierre Ottoy, Ghent University ◆David A. MacNeil, Statistics Canada 10:05 a.m. Semiparametric Varying-Coefficient Partially 9:05 a.m. ‘You Really Have to Puzzle This Out’: Checking Linear Model with Auxiliary Covariates—◆Xiaojing Residence and Coverage Duplications on a Census Wang, Duke University; Yong Zhou, Academy of 2010 Questionnaire—◆Laurie Schwede, U.S. Census Mathematics and Systems Science, Chinese Bureau; Anissa Sorokin, U.S. Census Bureau; Virginia Academy of Sciences Wake, U.S. Census Bureau 9:20 a.m. Overview of Evaluations of the 2010 Census Coverage Measurement Program—◆Mary H. Mulry, U.S. Census Bureau; Tamara S. Adams, 113 CC-203A U.S. Census Bureau ✪ Computational Approaches to Hypothesis 9:35 a.m. Missing Data Methods for CCM Component Error Testing—Contributed Estimation—◆Vincent Mule, U.S. Census Bureau; Section on Statistical Computing, Interface Foundation of Donald Malec, U.S. Census Bureau; Lynn Imel, U.S. North America Census Bureau; Nganha Nguyen, U.S. Census Bureau; Chair(s): Rebecca Nugent, Carnegie Mellon University Michael Moldoff, U.S. Census Bureau 9:50 a.m. Is There an Undercount of Medicaid Participants in the ACS Field Test?—◆Brett O’Hara, U.S. 8:35 a.m. A Generalized F-Test—◆George R. Terrell, Virginia Census Bureau Polytechnic Institute and State University 10:05 a.m. Floor Discussion 8:50 a.m. Test and Prediction in Multivariate Linear Mixed Models for Multiple Longitudinal Data—◆Wan-Lun Wang, National Central University; Tsai-Hung Fan, National Central University 9:05 a.m. Tests for Comparing Several Poisson Means— 115 CC-149B ◆Jie Peng, St. Ambrose University; Kalimuthu Sequential Monitoring in Clinical Trials— Krishnamoorthy, University of Louisiana-Lafayette Contributed 9:20 a.m. A Multiple-Testing Procedure Based on the WNAR Jump Size of the p-Values—◆Nasrine Bendjilali, Chair(s): Ruixiao Lu, Affymetrix, Inc. University of California, San Francisco; Wei-Min Huang, Lehigh University 8:35 a.m. Sequential Monitoring Response-Adaptive 9:35 a.m. General Moments-Based Permutation Tests: A Randomized Clinical Trials—◆Hongjian Zhu, Framework, Method, and Application—◆Chunxiao University of Virginia; Feifang Hu, University Zhou, University of Illinois at Urbana-Champaign; of Virginia Yongmei (Michelle) Wang, University of Illinois at Urbana-Champaign

80 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

8:50 a.m. Estimating Information Growth in Longitudinal 10:05 a.m. Semiparametric Regression Splines Models for Clinical Trials and Settings Leading to Detecting Effect Modification in Matched Case- Nonmonotonicity—◆Abigail Shoben, University Crossover Studies—◆Inyoung Kim, Virginia of Washington; Kyle Rudser, The University of Polytechnic Institute and State University; Minnesota; Scott Emerson, University of Washington Ho Kim, Seoul National University 9:05 a.m. Analysis of a Composite Endpoint, with Interim Analysis of Mortality—◆Roland A. Matsouaka, Harvard School of Public Health; Rebecca Betensky, Harvard School of Public Health 117 CC-159B 9:20 a.m. Conditional Estimation After a Phase II Group ■ From Earthquakes to Water: Statistical Models Sequential Diagnostic Biomarker Study—◆Joseph and Risk Analysis—Contributed S. Koopmeiners, University of Washington; Ziding Section on Statistics and the Environment Feng, Fred Hutchinson Cancer Research Center Chair(s): Tatiyana V. Apanasovich, Thomas Jefferson University

9:35 a.m. Statistical Considerations and Implications of Early Monday Stopping in the JUPITER Trial—◆Robert J. Glynn, Brigham and Women’s Hospital; Paul M. Ridker, 8:35 a.m. Evaluation of Earthquake Prediction Models Using Brigham and Women’s Hospital Residual Analysis for Spatial Point Processes— ◆Robert A. Clements, University of California, 9:50 a.m. A New Optimality Property of the Holm Multiple Los Angeles Testing Procedure—◆Alexander Y. Gordon, The University of North Carolina at Charlotte 8:50 a.m. A Random Effect Epidemic-Type Aftershock Sequence Model—◆Feng-Chang Lin, University 10:05 a.m. Multinomial Group Sequential Design with Exact of Wisconsin-Madison Method—◆Jiang Hu, FDA; Aiyi Liu, National Institute of Child Health and Human Development; 9:05 a.m. Weather-Based Index Insurance Contract Design— ◆ Chengqing Wu, Yale University Kenneth Shirley, Columbia University; Daniel Osgood, Columbia University 9:20 a.m. Application of Branching Models in the Study of Invasive Species—◆Earvin Balderama, University 116 CC-143C of California, Los Angeles New Statistical Methods in Epidemiologic 9:35 a.m. Censored data methods for modeling annual peak Studies—Contributed flood flows—◆John Grego, The University of South Carolina; Philip Yates, Cal Poly Section on Statistics in Epidemiology 9:50 a.m. A Model for Measurements of Lognormally Chair(s): Elizabeth R. Zell, CDC Distributed Environmental Contaminants— ◆Charles B. Davis, EnviroStat 8:35 a.m. On Testing the Homogeneity of Across Quantile 10:05 a.m. Comparison of ETAS Parameter Estimates Across Changing-Point Functions—◆Nanshi Sha, Columbia Different Global Tectonic Zones—◆Annie Chu, University; Ying Wei, Columbia University University of California, Los Angeles; Frederic P. 8:50 a.m. Semiparametric Inference for a Two-Stage Schoenberg, University of California, Los Angeles Outcome-Auxiliary Dependent Sampling Design with Continuous Outcomes—◆Yuanshan Wu, The University of North Carolina at Chapel Hill; Haibo Zhou, The University of North Carolina at Chapel Hill 118 CC-209A 9:05 a.m. Evaluating Prenatal PCB Exposure in Relation Understanding Consumer Preferences in a to Cognitive Function in Children with a Partial Global Marketplace—Contributed Linear Model—Haibo Zhou, The University of North Carolina at Chapel Hill; ◆Guoyou Qin, The Section on Statistics and Marketing University of North Carolina at Chapel Hill; Matthew Chair(s): Wendy W. Moe, University of Maryland Longnecker, National Institute of Environmental Health Sciences 8:35 a.m. An International Analysis of New Product Diffusion 9:20 a.m. Empirical Likelihood Methods in Efficient Design Speed—◆Brian Hartman, Texas A&M University; and Inference of Randomized Clinical Trials— Bani K. Mallick, Texas A&M University; Debabrata ◆Xiaoru Wu, Columbia University; Zhiliang Ying, (Debu) Talukdar, State University of New York Columbia University at Buffalo 9:35 a.m. Use of Variance Component Estimators to Assess 8:50 a.m. Daily Gasoline Prices, Stock Market Indexes, Predictive Model Stability—◆Michael Jones, Consumer Internet Hits, Automobile Incentives, Macquarie University and Automobile Sales for the Forecasting of Future ◆ 9:50 a.m. Using Empirical Likelihood Confidence Regions Short-Term Automobile Model Sales— James to Establish Spirometry Limits—◆Nancy L. Glenn, Wendelberger, Urban Science Applications, Inc. Texas Southern University

Washington, DC 81 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:05 a.m. Pride and Prejudice: Investigating the Symbolic 120 CC-160 Properties of Country of Origin in a Land of Crouching Tigers and Hidden Dragons—Giana Nonparametric Estimation and Testing— Eckhardt, Suffolk University; ◆Terry Elrod, Contributed University of Alberta; Luming Wang, University Section on Nonparametric Statistics of Alberta Chair(s): David B. Dahl, Texas A&M University 9:20 a.m. Dynamic Pricing and Asymmetries in Retail Gasoline Markets: What Can They Tell Us About 8:35 a.m. Nonparametric Derivative Estimation and the Price Stickiness?—◆Ana Maria Herrera, Wayne Computation of Posterior Probabilities for State University; Christopher Douglas, University Nanoparticle Characteristics—◆Richard Charnigo, of Michigan-Flint University of Kentucky; Mathieu Francoeur, 9:35 a.m. Discovering the Banking Customer Groups with University of Kentucky; Patrick Kenkel, University of Similar Financial Products—◆Bin Zhang, IBM Kentucky; M. Pinar Menguc, University of Kentucky; China Research Laboratory; Jin Yan Shao, IBM China Benjamin K. Hall, University of Kentucky; Cidambi Research Laboratory; Ming Xie, IBM China Research Srinivasan, University of Kentucky Laboratory; Li Xia, IBM China Research Laboratory; 8:50 a.m. Parameter Estimation in Two-Sample Location- Wenjun Yin, IBM; Jin Dong, IBM China Research Scale Families—◆Cornelis Potgieter, University Laboratory of Johannesburg; Fred Lombard, University 9:50 a.m. Customer Value and Willingness-to-Pay for of Johannesburg Eco-Labeled Products—◆Chen Nai-Hua, 9:05 a.m. Second-Order Properties of Distribution Tails and Chienkuo Technology University Estimation of Tail Exponents in Random Difference 10:05 a.m. Floor Discussion Equations—◆Changryong Baek, The University of North Carolina at Chapel Hill; Vladas Pipiras, The University of North Carolina at Chapel Hill; Patrice Abry, ENS Lyon; Herwig Wendt, Purdue University 119 CC-141 9:20 a.m. More on the Estimation of True Positive Rate in FDR Variation and Risk—Contributed Study—◆Ping-Shi Wu, Lehigh University; Wei-Min Huang, Lehigh University Section on Risk Analysis Chair(s): Chi Wai, UBC 9:35 a.m. A Multivariate Median Based on the Minimum Spanning Tree—◆Amber E. Weyand, The University of Tennessee; Adam Petrie, The 8:35 a.m. Evaluating Value-at-Risk Models via Quantile University of Tennessee Regressions—◆Luiz Renato Lima, University of 9:50 a.m. Simultaneous Closeness Among Order Statistics Illinois at Urbana-Champaign; Wagner Gaglianone, to Population Quantiles—Narayanaswamy Central Bank of Brazil; Oliver Linton, London School Balakrishnan, McMaster University; Katherine of Economics Davies, University of Manitoba; ◆Jerome P. Keating, 8:50 a.m. Dual-Time Analytics in Credit Risk Modeling— The University of Texas at San Antonio; Robert L. ◆Aijun Zhang, University of Michigan Mason, Southwest Research Institute 9:05 a.m. Regression Modeling of Count Data: Handling 10:05 a.m. Chung-Smirnov Property for Bernstein Estimators Heavy Tails—◆Sarah LaRocca, Johns Hopkins of Distribution Functions—◆Alexandre Leblanc, University; Seth D. Guikema, Johns Hopkins University of Manitoba University 9:20 a.m. Percentile-Based Power Preserving Estimate of Standard Deviation—◆Yvonne Zubovic, Indiana University Purdue University Fort Wayne; Chand 121 CC-209C Chauhan, Indiana University Purdue University Miscellaneous Methodology I—Contributed Fort Wayne IMS 9:35 a.m. Play Against Random Past Strategy and Its Chair(s): Seo Young Park, The University of North Carolina at Application in Expert-Selection Problem— Chapel Hill ◆Mingfei Li, Bentley University 9:50 a.m. Accurate Two-Sided Tolerance Limits for the 8:35 a.m. Censoring by Death: A Study of the Normal-Normal Normal Random Effects Model—◆Shun-Yi Chen, Mixture Model—◆Michael Freiman, University Tamkang University of Pennsylvania; Dylan Small, University of 10:05 a.m. On the Asymptotic Distribution of Likelihood Ratio Pennsylvania Test When Parameters Lie on the Boundary— 8:50 a.m. The Generalized Linear Mixed Model with ◆Leonid Kopylev, U.S. Environmental Protection Multinomial Data—◆John Aleong, University Agency; Bimal Sinha, University of Maryland, of Vermont Baltimore County

82 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:05 a.m. Bias Reduction in Generalized Nonlinear Models— 123 CC-150A ◆ Ioannis Kosmidis, University of Warwick; ■ David Firth, University of Warwick Issues in Phase II and Dose-Ranging Trials— Contributed 9:20 a.m. On Functional Logistic Regression Models— Biopharmaceutical Section, Section on Bayesian ◆Gery Geenens, The University of Melbourne; Peter G. Hall, The University of Melbourne Statistical Science Chair(s): Yu-Ling Chang, FDA 9:35 a.m. Finite Mixture of Heteroscedastic Single Index Models—◆Peng Zeng, Auburn University 8:35 a.m. Brick Tunnel Randomization: A Way to 9:50 a.m. An Almost Nonparametric Model for Missing Accommodate a Problematic Allocation Ratio in Covariates in Parametric Regression—◆Byungtae ◆Olga M. Seo, Texas Tech University Adaptive Design Dose-Finding Studies— Kuznetsova, Merck & Co., Inc.; Yevgen Tymofyeyev, 10:05 a.m. A Theil-Type Estimate in a Linear Mixed Model— Merck & Co., Inc. ◆Hanxiang Peng, Indiana University Purdue University Indianapolis 8:50 a.m. A Comparison of False Negative Rates from Monday Dose-Response Relationship Test Only with Dose-Response Relationship Test Along with a Pairwise Test—◆Mohammad Rahman, FDA 122 CC-203B 9:05 a.m. Convergence of Best Intention Adaptive Designs in Dose-Finding Experiments—◆Yuehui Unit Roots and Cointegration—Contributed Wu, GlaxoSmithKline; Valerii V. Fedorov, Business and Economic Statistics Section GlaxoSmithKline Chair(s): Ka S. Man, Western Illinois University 9:20 a.m. Modeling Heterogeneity and Its Effect on Design Parameters in Phase II Clinical Trials—◆Christopher 8:35 a.m. Density Functions of Multivariate Augmented Dickey N. Barnes, University of Louisville; Shesh N. Rai, Fuller Tests with Cross-Sectional Dependence— University of Louisville ◆Roy Cerqueti, University of Macerata; Claudio Lupi, 9:35 a.m. Consonant Closed Test Procedures in Dose- University of Molise; Mauro Costantini, University Response Study—◆Bushi Wang, University of of Vienna California, Riverside; Xinping Cui, University of 8:50 a.m. A Frequency Domain Approach for Testing for California, Riverside Second-Order Stationarity—◆Yogesh Dwivedi, 9:50 a.m. A Hierarchical Bayesian Approach for Controlled Texas A&M University Phase II Cancer Trials in Heterogeneous 9:05 a.m. Bootstrap Tests of Stationarity—◆Tara M. Sinclair, Diseases—◆Lanjia Lin, Florida State University; The George Washington University; James Morley, Jyotirmoy Dey, Novartis Pharmaceuticals; Lumay Washington University in St. Louis Chiang, Novartis Oncology 9:20 a.m. Cointegration Vector Estimation by DOLS for a 10:05 a.m. An Alternative to the Peto Analysis for Two-Year Three-Dimensional Panel—◆Luis Melo, Central Carcinogenicity Studies and to Tarone’s Test for Bank of Colombia; John Leon, Inter American Trend on Censored Survival Data—◆Arthur Roth, Development Bank; Dagoberto Saboya, Central AJR Statistical Consulting Bank of Colombia 9:35 a.m. Unit Root Testing and Estimation in Nonlinear ESTAR Model with Non-Normal Error—◆David Peel, Lancaster University ; Umair Khalil, University of Peshawar; Fazli Qadir, University of Peshawar 9:50 a.m. Cross-Sectional Dependence Robust Block Bootstrap Panel Unit Root Tests—◆Stephan Smeekes, Maastricht University; Franz C. Palm, Maastricht University; Jean-Pierre Urbain, Maastricht University 10:05 a.m. Bootstrap Unit Root Tests by a Simple Approach— ◆Guodong Li, The University of Hong Kong

Washington, DC 83 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Government statistics 02 Trends in the Prevalence of Selected Chronic Health Conditions Among US Adults by Sociodemographic Characteristics: NHIS 1997–2007—◆Abera Wouhib, CDC; Longtime Member Meena Khare, CDC 03 Prevalence of Pregnant Women in the United States from Continuous NHANES (1999–2006)— Reception ◆Lisa B. Mirel, CDC; Lester R. Curtin, CDC; Jaime Gahche, CDC; Vicki L. Burt, National Center for Health Statistics BY INVITATION ONLY Sampling and survey methodology 04 Estimating Variance Components for Health Examination Surveys—◆Te-Ching Chen, CDC; Lester R. Curtin, CDC Monday, August 3 6:30 p.m. – 7:30 p.m. Government statistics 05 Modifying the Three-Process Model of Alertness for Renaissance Washington, DC, Hotel Accelerometer Data and Its Correlation with Sleep— Grand Ballroom North ◆James Slaven, National Institute for Occupational Safety and Health; John M. Violanti, State University of New York at Buffalo; Ja K. Gu, National Institute for Occupational If you joined the ASA 35 or more years ago, Safety and Health; Michael E. Andrew, National Institute the American Statistical Association would for Occupational Safety and Health; Luenda E. Charles, like to thank you for your longtime support. National Institute for Occupational Safety and Health; Bryan Vila, Washington State University; Cecil Burchfiel, National Institute for Occupational Safety and Health Please join us for a reception 06 Estimating Extreme Percentiles for BMI: Minimum in your honor. Sample Size Required and Sensitivity to Kurtosis— ◆Lester R. Curtin, CDC; Te-Ching Chen, CDC Sponsored by the ASA Membership Retention and Recruitment Committee 125 CC-L Street Bridge Contributed Oral Poster Presentations— Contributed Section on Government Statistics Chair(s): Lara Schmidt, RAND Corporation

Government statistics Poster Presentations 07 Sole Proprietor Income Tax Noncompliance: Changes from 1988 to 2001—◆Katherine L. Fox, IRS; Janice T. 8:30 a.m.–10:20 a.m. Hu, IRS 08 Obtaining User Needs While Protecting Individually 124 CC-L Street Bridge Identifiable Data for the Survey of Earned Doctorates— ◆Stephen Cohen, National Science Foundation; Mark ■ Topic-Contributed Oral Poster Presentations: Fiegener, National Science Foundation Government Health Statistics—Topic- 09 Monitoring Monthly State Estimation Using Time Series Contributed Analysis and Review System (STARS) Tables—◆Jennifer Section on Government Statistics Oh, Bureau of Labor Statistics; Richard Tiller, Bureau of Organizer(s): Sunghee Lee, University of California, Los Angeles Labor Statistics Chair(s): Lara Schmidt, RAND Corporation Social and behavioral science Applications and case studies 10 Tracking the Changes in CPI-W: History of Wage Earner 01 Analysis of zero-inflated data from the OSHA worksite and Clerical Worker Occupations—◆Mary Lynn Schmidt, inspection system—◆Jia Li, National Institute for Bureau of Labor Statistics Occupational Safety and Health; Scott Henn, National Institute for Occupational Safety and Health; Aaron Sussell, National Institute for Occupational Safety and Health

84 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Applications and case studies Applications and case studies 11 Designing Sample Panel for the Federal Reserve’s 19 Modeling Item-Response Data with Fatigue—◆Oliver Quarterly Report of Credit Card Interest Rates— Entine, University of Pennsylvania ◆Lisa Chen, Federal Reserve Board 20 The Potential for Formal Statistical Analysis to Assist Courts with Relatively Small Data Set—◆Joseph L. Gastwirth, The George Washington University; Qing Pan, The George Washington University 126 CC-L Street Bridge Contributed Oral Poster Presentations— Contributed Linear models, GLMs, parametric methods 21 Modeling Mexican Return Migration Decisions—◆Claudia Section for Statistical Programmers and Analysts P. Masferrer, The University of Texas at Austin

Spatial statistics, spatio-temporal modeling, GIS

Social and behavioral science Monday 12 Two Algorithms of Searching Spatially Continuous Mark 22 Modeling Social Interaction and Collaboration Among Clusters in Marked Point Process—◆Huaguo Wang, Graduate Students—◆Ranran Wang, University of QinetiQ North America/Technology Solutions Group/PSI; Washington; Mark S. Handcock, University of Washington Michael Schucking, QinetiQ North America/Technology Solutions Group/PSI Applications and case studies 23 An Experimental Constrained Model of Stereotype Threat—◆Maria Cohenour, University of Oklahoma; 127 CC-L Street Bridge Robert Terry, University of Oklahoma Contributed Oral Poster Presentations— Contributed Policy and Statistics Social Statistics Section 24 Simultaneous Statistical Inference in Evaluating Teacher Chair(s): Lara Schmidt, RAND Corporation Performance—◆Bing Han, RAND Corporation

Longitudinal data, repeated measurements, and Social and behavioral science meta-analysis 25 Tell Me Who’s Your Friend and I’ll Tell You Who You Are— 13 Sample Size and Power Calculations for Correlations ◆Andrew Gelman, Columbia University; Johannes Ruf, ◆ Between Bivariate Longitudinal Data— Warren S. Columbia University; Amal Moussa, Columbia University; Comulada, University of California, Los Angeles; Tian Zheng, Columbia University; Tom DiPrete, Columbia Robert E. Weiss, University of California, Los Angeles University; Julien Teitler, Columbia University

Policy and Statistics Incomplete data analysis, imputation methods 14 Using Regression and Queuing Theory to Establish Voting 26 Using Income Imputation Techniques to Improve ◆ Machine Allocation Laws— Theodore Allen, The Ohio Evaluation of Outreach Efforts for Low-Income Medicare State University; Fritz Scheuren, NORC at the University of Beneficiaries—◆Frank Funderburk, Centers for Medicare Chicago; Mikhail Bernshteyn, Sagata Ltd. and Medicaid Services; Christopher Koepke, Centers for Medicare and Medicaid Services; Thomas Kickham, Social and behavioral science Centers for Medicare and Medicaid Services 15 Mixed Models and Q-Connectivity Graphs for Dynamics of Social Interactions—◆Burcu Eke, Arizona State University; Social and behavioral science Sharon Lohr, Arizona State University 27 From RCTs to Evidence Grading Schemes: The Current 16 Development of Linear Matrix Model: Application of State of Evidence-Based Practice in Social Sciences— Ecological Model for Longitudinal Study of Bosnian Robert Boruch, University of Pennsylvania; ◆Ning Rui, Refugees’ Adaptation—◆Lisa M. Willoughby, Saint Louis University of Pennsylvania University; Ian H. Redmount, Saint Louis University; Hisako Matsuo, Saint Louis University; Wai Hsien Cheah, Southern Illinois University Edwardsville; Ajlina Karamehic- Muratovic, Missouri Institute of Mental Health; Terry J. Tomazic, Saint Louis University 17 Variable Selection for Propensity Models—◆Bing Yu, University of Toronto; Guanglei Hong, University of Toronto 18 Identification, Inference, and Sensitivity Analysis for Causal Mediation Effects—Kosuke Imai, Princeton University; Luke Keele, The Ohio State University; ◆Teppei Yamamoto, Princeton University

Washington, DC 85 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

128 CC-Hall D 130 CC-Hall D Topic-Contributed Oral Poster Presentations: Contributed Oral Poster Presentations— Special Adjustments for Official Time Series— Contributed Topic-Contributed Business and Economic Statistics Section Business and Economic Statistics Section Chair(s): Lara Schmidt, RAND Corporation Organizer(s): Brian C. Monsell, U.S. Census Bureau Chair(s): Lara Schmidt, RAND Corporation Computational statistics, numerical methods, simulation 35 Optimal Forecasting with Conditionally Heteroskedastic Time series, wavelet analysis, signal processing Factor Analyzed Hidden Markov Models—◆Mohamed 28 Update on the Development of X-13A-S— Saidane, University of Montpellier II; Christian Lavergne, ◆Brian C. Monsell, U.S. Census Bureau University of Montpellier II 29 Detecting Stock Calendar Effects in US Census Bureau Inventory Series—◆Natalya Titova, U.S. Census Bureau; Business, financial, and marketing statistics Brian C. Monsell, U.S. Census Bureau 36 The Determinants of Economic Growth in ECOWAS 30 Constructing an Easter Regressor for a Stock Series in Countries—Brian W. Sloboda, U.S. Postal Service; X-12-ARIMA—Julian Chow, Office for National Statistics; ◆Kalamogo Coulibaly, U.S. Postal Service; Yaya ◆Begona Martin, Office for National Statistics; Kevin Sissoko, Indiana University of Pennsylvania Moore, Office for National Statistics Time series, wavelet analysis, signal processing 37 Efficiently Forecasting Thousands of Employment Series for Sub-State Areas—◆David E. Byun, Bureau of Labor 129 CC-Hall D Statistics; Thomas Evans, Bureau of Labor Statistics Topic-Contributed Oral Poster Presentations: Software for Seasonal Adjustment and Benchmarking—Topic-Contributed Computational statistics, numerical methods, simulation 38 The Virtues of VAR Forecast Pooling: A DSGE Model- Business and Economic Statistics Section Based Monte Carlo Study—◆Steffen Henzel, Ifo Institute Organizer(s): Brian C. Monsell, U.S. Census Bureau for Economic Research; Johannes Mayr, Ifo Institute for Chair(s): Lara Schmidt, RAND Corporation Economic Research

Time series, wavelet analysis, signal processing Reliability and survival modeling, risk analysis 31 PROC TSRAKING: An In-House SASÆ Procedure for 39 A Copula Model for Dependent Competing Risks— Balancing Time Series—◆Joana Bérubé, Statistics ◆Ralf Wilke, University of Nottingham; Simon Lo, Canada; Susie Fortier, Statistics Canada University of Freiburg 32 Recent Developments in Statistics Canada’s Time Series Processing System: Transition to SASÆ PROC X12— Bootstrap, resampling methods ◆Michel Ferland, Statistics Canada; Susie Fortier, Statistics Canada 40 Sieve Bootstrap Prediction Intervals for Multivariate ARMA Models—◆Purna Mukhopadhyay, The University of Kansas ◆Gary 33 X-12-ARIMA vs. PROC X12: The UK Experience— Medical Center; V. A. Samaranayake, Missouri University of Brown, Office for National Statistics; Emma Hooper, Office Science and Technology for National Statistics; David Rose, SAS Institute Inc. 34 Simplifying Seasonal Adjustment Using X-12-ARIMA with Win X-12 and X-12-Graph—◆Demetra Lytras, Time series, wavelet analysis, signal processing U.S. Census Bureau 41 Modeling Hourly Real-Time Electricity Load in the MISO Market—◆Prasenjit Shil, Ameren Services; V. A. Samaranayake, Missouri University of Science and Technology; Asitha Edirisingha, Missouri University of Science and Technology

Applications and case studies 42 Modeling Hourly Day-Ahead Electricity Demand in the MISO Market—◆V. A. Samaranayake, Missouri University of Science and Technology; Prasenjit Shil, Ameren Services; Asitha Edirisingha, Missouri University of Science and Technology

86 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Business, financial, and marketing statistics Business, financial, and marketing statistics 43 Modeling Conditional Variance Functions in 54 Investment Strategy and Decisions—Les Yen, University Nonparametric Transfer Function Models—◆Jun M. Liu, of Phoenix; ◆Gretchen Colon-Miranda, University of Georgia Southern University Phoenix/NVA 44 Dynamic Pricing the Revenue Insurance Contracts: A Time-Varying Copula Model—◆Ying Zhu, North Carolina Bayesian statistics, hierarchical models State University; Sujit Ghosh, North Carolina State 55 The Application of the Bayesian Statistics in Portfolio University; Barry Goodwin, North Carolina State University Selection: Background and Case Study of the S&P 500 Yearly Returns—◆Isaac Kpodonou, University of the Semiparametric and nonparametric methods District of Columbia 45 Asymptotic Efficiency and Finite-Sample Properties of the Generalized Profiling Estimation of the Parameters Spatial statistics, spatio-temporal modeling, GIS in Ordinary Differential Equations—◆Xin Qi, Yale 56 Cautionary Tales on Spatial Weights—◆Jerry Platt, University; Hongyu Zhao, Yale University; Hongyu Monday University of Redlands Zhao, Yale University

Business, financial, and marketing statistics Business, financial, and marketing statistics 57 Nonlinear Models of the Bond/Commodity Price 46 Foreign Direct Investment in Mobile Technology: Interaction: Evidence from Daily Data—◆Yuliya V. Yurova, An Exploratory Study in Emerging African Market— University of Illinois at Chicago; Houston H. Stokes, Charles A. Malgwi, Bentley University; ◆Olumayokun University of Illinois at Chicago Soremekun, Bentley University; Dominique Haughton, Bentley University 58 Efficient Quantile Regression—◆Yoonsuh Jung, The Ohio State University; Yoonkyung Lee, The Ohio State University; 47 A New Way of Gini Coefficient Decomposition and Its Steven N. MacEachern, The Ohio State University Application to the Chinese National Macro-Economy Data—◆Xu Cao, Southwestern University of Finance and Economics Economics, game theory 59 Recession Statistics 101—Les Yen, University of Phoenix; Transportation statistics ◆Heather Posey, University of Phoenix/NVA 48 Network Analysis of U.S. Domestic Air Transportation Network—◆Guangying Hua, Bentley University; Yingjie Mathematical statistics, distribution theory, robust statistics Sun, Boston University; Dominique Haughton, Bentley 60 Variable Selection, Constrained and Shrinkage Estimation University in Multivariate Regression Models—◆Ejaz S. Ahmed, University of Windsor; Severien Nkurunziza, University Spatial statistics, spatio-temporal modeling, GIS of Windsor 49 Space-Time Modeling and Boundary Analysis of European Unemployment Rates—◆Kevin Bartz, Harvard University Computational statistics, numerical methods, simulation 61 Searching for the Perfect Storm: Regime Switching Business, financial, and marketing statistics Correlations and Value at Risk—◆Lu Zhang, Penn State University 50 A Longitudinal Study of Nigerian Stock Prices—◆Dallah Hamadu, University of Lagos; Ismaila Adeleke, University of Lagos Business, financial, and marketing statistics 62 A Model of Leadership and Team Processes: Linear models, GLMs, parametric methods A Multivariate Application—◆Andrea Roofe, Florida International University 51 Restricted Linear Models: Which Estimator Performs Better?—◆Luis Frank, University of Buenos Aires Semiparametric and nonparametric methods Economics, game theory 63 Volatility and Jump Dynamics in US Energy Futures Markets—◆Carl J. Bjursell, George Mason University; 52 Do Laspeyres Preferences Still Hold True? An Evaluation James E. Gentle, George Mason University; George H.K. of the Expenditure Weights from the Consumer Price Wang, George Mason University Index—◆Joshua Klick, Bureau of Labor Statistics

Business, financial, and marketing statistics Computational statistics, numerical methods, simulation 64 A Statistician Hedges Options—◆James Delaney, 53 Improving Prediction Accuracy of Logistic Regression— Temple University ◆Zhiyuan Dong, University of Cincinnati; Martin Levy, University of Cincinnati; Yan Yu, University of Cincinnati

Washington, DC 87 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

65 Modeling Uncertainty in Daily Asset Returns Using ARCH/ Bayesian statistics, hierarchical models GARCH Models—◆Linda Njoh, Baylor University; Jane L. 73 Bayesian Normal Mixture Modeling: A Case Study in CT Harvill, Baylor University Scanning—◆Clair L. Alston, Queensland University of Technology; Kerrie Mengersen, Queensland University of Technology 74 A Comparison of Minimum Description Length Scores 131 CC-Hall D for Bayesian Networks—◆Jason LaCombe, University of Contributed Oral Poster Presentations— Rochester Medical Center; Anthony Almudevar, University Contributed of Rochester Medical Center Section on Statistics and Marketing 75 Bayesian Analysis and Classification of Two Quantitative Chair(s): Lara Schmidt, RAND Corporation Diagnostic Tests with False Negatives and No Gold Standard—◆Jingyang Zhang, The University of Iowa; Kathryn Chaloner, The University of Iowa Jack Stapleton, Business, financial, and marketing statistics ; The University of Iowa 66 The Benefits of Portfolio Rebalancing and How They Can Be Achieved—◆Yaqing Si, Iowa State University 76 Modeling Prior Knowledge in Developing a Bayesian Network—◆Futoshi Yumoto, American Institutes for Research; Rochelle E. Tractenberg, Georgetown Health policy, epidemiology, public health University Medical Center 67 Determining Optimal Sample Amounts for Bucketed 77 Dangers of Transforming ‘Noninformative’ Prior Mailings in Over-the-Counter Pharmaceutical Marketing— Distributions—◆John W. Seaman, III, Baylor University; ◆Martin B. Selzer, KMK Consulting John W. Seaman, II, Baylor University; James Stamey, Baylor University Mathematical statistics, distribution theory, robust statistics 78 Nonparametric Bayesian Modeling of Scaled Item 68 On Optimal Stopping Rules of Mixtures of Regression Response Data—Kristin Duncan, San Diego State Lines—◆Ping-Hung Hsieh, Oregon State University University; ◆José S. Fuentes, San Diego State University

Reliability and survival modeling, risk analysis 79 Bayesian Parametric Survival Alternatives with 132 CC-Hall D Biopharmaceutical Applications—◆Lindsay A. Renfro, Contributed Oral Poster Presentations— Baylor University Contributed Section on Bayesian Statistical Science Bayesian statistics, hierarchical models Chair(s): Lara Schmidt, RAND Corporation 80 Two-Class Prediction with Model Selection and Averaging—◆Wensong Wu, University of South Carolina; Bayesian statistics, hierarchical models Edsel A. Pena, University of South Carolina 69 Bayesian Estimation in Nonstandard Finite Mixture Models 81 Bayesian Method for Misclassified Multinomial Data with with Application to an Exposure Data Set—◆Miranda Prior Information and External Data—◆Yi Qian, Amgen, L. Lynch, University of Rochester School of Medicine and Inc.; Deukwoo Kwon, National Cancer Institute; Jeesun Dentistry; Sally W. Thurston, University of Rochester Jung, Indiana University School of Medicine 70 In Search of Sasquatch—◆Jennifer B. Emerson, Texas 82 An Application of the Spatial Bayesian Variable Selection Tech University; Robert F. Martin, Federal Reserve Board; to fMRI Time-Series Data—◆Kuo-Jung Lee, The University Bo He, The University of Texas; Clyde Martin, Texas of Minnesota-Twin Cities Tech University 71 Elicitation of Prior Distributions for Bayesian Phylogeny— Modeling in Ecology ◆Xiting Yang, Carnegie Mellon University/FDA; Joseph Kadane, Carnegie Mellon University 83 Parameter Updating Suppression Scheme for Wireless Sensor Networks—◆Kristian Lum, Duke University

Reliability and survival modeling, risk analysis Bayesian statistics, hierarchical models 72 Bayesian Inference for Power Low Processes with 84 Individual-Level Residual Diagnostics for Bayesian Applications in Repairabble Systems—◆Maristela Structural Equation Models—◆Abbie Stokes-Riner, D. Oliveira, Universidade Federal da Bahia; Gustavo L. University of Rochester; Sally W. Thurston, University of Gilardoni, Universidade De Brasilia; Enrico A. Colosimo, Rochester Universidade Federal de Minas Gerais 85 Improving Predictions of Dwarf Mistletoe Incidence in Black Spruce Using Bayesian Hierarchical Models— ◆Ephraim Hanks, Utah State University; Mevin B. Hooten, Utah State University; Frederick A. Baker, Utah State University

88 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

133 CC-Hall D Biometrics, bioinformatics, computational biology Contributed Oral Poster Presentations— 95 Design of Multi-User, Multi-Tasking Needs, Multi-Treatment- Contributed Allocation Support in a Web-Based Minimization Random Allocation System—Wei Li, Peking Union Medical College; Section on Statistics in Sports ◆Zheng Wang, National Center for Cardiovascular Diseases; Chair(s): Lara Schmidt, RAND Corporation Yi Sun, National Center for Cardiovascular Diseases 96 Sample Size Estimation in Microarray Experiments— Sports, art, entertainment ◆Wei-Jiun Lin, National Central University; James Chen, 86 Predicting the Atlanta Falcons Play-Calling Using National Center for Toxicological Research Discriminant Analysis—◆Erik L. Heiny, Utah Valley University; David Blevins, Gaston Community College 87 National Football League Regular Season Team Statistics vs. Winning Performance and Playoff Level Success: A

Multivariate Exploratory Analysis—◆Charles Fisk, U.S. Invited Sessions Monday Department of Defense 88 Explaining Success in Baseball: The Local Correlation 10:30 a.m.–12:20 p.m. Approach—Jeff Hamrick, Boston University; ◆John Rasp, Stetson University 135 CC-202B 89 The Rise and (Inevitable) Fall of Baseball’s Grand Slam— ■ ◆Julia Seaman, Genentech, Inc.; Elaine Allen, After Celebration of the 100th Anniversary of Babson College Hardy-Weinberg Law—Invited 90 A Brief Review of Statistical Applications in Cricket ENAR, WNAR Data—Ananda Manage, Sam Houston State University; Organizer(s): Gang Zheng, National Heart, Lung, and Blood Institute ◆Nandun S. Ranwala, Sam Houston State University; Chair(s): Joseph L. Gastwirth, The George Washington University Danush Wijekularathna, Sam Houston State University 91 Determination and Analysis of Factors Determining 10:35 a.m. A Heterozygote-Homozygote Test of Hardy- the Outcomes of National Football League Games— Weinberg Equilibrium Using Related Individuals— ◆Christopher Cohea, CEC Statistical Consulting; Mark E. ◆Janet S. Sinsheimer, University of California, Los Payton, Oklahoma State University Angeles; Jin Zhou, University of California, Los Angeles; Kenneth Lange, University of California, Los Angeles; Jeanette Papp, University of California, Los Angeles 134 CC-Hall D 11:00 a.m. Current Applications of the Hardy-Weinberg Contributed Oral Poster Presentations— Law—◆Bruce Weir, University of Washington Contributed 11:25 a.m. Hardy-Weinberg Equilibrium and Genetic International Chinese Statistical Association, Section on Disequilibrium Mapping—◆Abigail Matthews, Government Statistics Rockefeller University; Yuanyuan Shen, Chinese Chair(s): Lara Schmidt, RAND Corporation Academy of Sciences; Zhe Liu, Chinese Academy of Sciences; Jurg Ott, Rockefeller University/Chinese Academy of Sciences Health policy, epidemiology, public health 11:50 a.m. Disc: Dmitri Zaykin, National Institute of 92 Statistical Consideration on the Guidance for Diagnostic Environmental Health Sciences Devices in China—◆Sun Yi, The Chinese Academy of Medical Sciences; Wei Li, Peking Union Medical College 12:10 p.m. Floor Discussion

Biometrics, bioinformatics, computational biology 93 Incorporating Biological Knowledge Into Hierarchical Clustering with a Rank-Two Ellipse Seriation in Gene Expression Profiles—Han-Ming Wu, Tamkang University; ◆Chun-Fu Tsao, Tamkang University

Medical devices 94 Comparison of Different Statistical Analysis Strategy on Evaluating Drug Eluting Stent Trial—Wei Li, Peking Union Medical College; ◆Yang Wang, National Center for Cardiovascular Diseases

Washington, DC 89 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

136 CC-202A 138 CC-207B ■ ✪ Recent Advances in Missing Data and Recent Advances in Statistical Learning and Causal Inference—Invited Computing for Massive High-Dimensional Biopharmaceutical Section, Section on Statistics in Epidemiology Data—Invited Organizer(s): Recai M. Yucel, State University of New York at Albany ASA Special Interest Group on Statistical Learning and Chair(s): Recai M. Yucel, State University of New York at Albany Data Mining, Interface Foundation of North America Organizer(s): Hui Zou, University of Minnesota 10:35 a.m. Every Missing Not at Random Model for Incomplete Chair(s): Jinchi Lv, University of Southern California Data Has a Missing at Random Counterpart with Equal Fit—◆Geert Molenberghs, Hasselt University/ 10:35 a.m. Forward-Lasso Adaptive Shrinkage—◆Gareth Katholieke Universiteit Leuven; Michael G. Kenward, James, University of Southern California; Peter London School of Hygiene and Tropical Medicine; Radchenko, University of Southern California Geert Verbeke, Katholieke Universiteit Leuven; 11:05 a.m. Partial Correlation Estimation by Joint Sparse Caroline Beunckens, Hasselt University; Cristina Regression Models—◆Ji Zhu, University of Sotto, Hasselt University Michigan; Jie Peng, University of California, Davis; 11:00 a.m. Causal Modeling When the Treatment Is a Latent Pei Wang, Fred Hutchinson Cancer Research Center; Class—◆Joseph L. Schafer, Penn State University; Nengfeng Zhou, University of Michigan Joseph Kang, Northwestern University 11:35 a.m. On Localized Dimension Reduction and Variable 11:25 a.m. The Infinite Dimension of the Data Revealed by Selection—◆Xiangrong Yin, The University of a Perfectly Executed Measurement of a Scalar Georgia; Qin Wang, The University of Georgia; Variable—◆Constantine Frangakis, Johns Bing Li, Penn State University; Zhihui Tang, Hopkins University Penn State University 11:50 a.m. Disc: Donald B. Rubin, Harvard University 12:05 p.m. Floor Discussion 12:10 p.m. Floor Discussion

139 CC-158A 137 CC-209B ■ ✪ Contemporary Bayesian Generalized Linear ■ Assessing and Modeling Spatial Variability Models—Invited and Uncertainty—Invited Section on Bayesian Statistical Science Section on Statistics and the Environment, Section on Bayesian Organizer(s): Sourish Das, Duke University Statistical Science Chair(s): Santanu Pramanik, NORC at the University of Chicago Organizer(s): Ronald McRoberts, U.S. Forest Service Chair(s): Mary C. Christman, University of Florida 10:35 a.m. Generalized Linear Models for a Correlation Matrix in Longitudinal Data—◆Michael J. Daniels, 10:35 a.m. Modeling Soil Type Spatial Distribution Using University of Florida Markov Random Fields—◆Gerard B.M. 11:00 a.m. Nonparametric Bayes Random Effects Modeling Heuvelink, Wageningen University; R. Murray Using Kernel Local Partition Processes—◆David Lark, Rothamsted Research Dunson, Duke University 11:00 a.m. Inferential Effects of Using Spatial Natural Resource 11:25 a.m. Bayesian Analysis of Longitudinal Binary Data Data from Independent Sources—◆Ronald Using Multivariate Bridge and Other Random McRoberts, U.S. Forest Service Effects Models—◆Bani K. Mallick, Texas A&M 11:25 a.m. An Adaptive Predictive Process Modeling Approach University; Souparno Ghosh, Texas A&M University; for Large Spatial-Temporal Data Sets—◆Andrew Debajyoti Sinha, Florida State University; Stuart Finley, Michigan State University; Sudipto Banerjee, Lipsitz, Brigham and Women’s Hospital The University of Minnesota; Alan E. Gelfand, 11:50 a.m. Power Filter for Dynamic Models—◆Sourish Duke University Das, Duke University; Dipak K. Dey, University 11:50 a.m. A Closer Look at Statistical Inference with of Connecticut Geographically Weighted Regression Models— 12:15 p.m. Floor Discussion ◆Carol Gotway Crawford, CDC; Linda J. Young, University of Florida 12:15 p.m. Floor Discussion

90 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

140 CC-102B 142 CC-149B ✪ From Oil Wells to Windmills: Can the Federal ■ Are the Paradigms for Design of Experiments Statistical System Adapt to Changing Needs for Changing?—Invited Energy Data?—Invited Section on Physical and Engineering Sciences, International Indian Committee on Energy Statistics Statistical Association, Section on Quality and Productivity Organizer(s): Janice Lent, Energy Information Administration Organizer(s): Philip J. Ramsey, University of New Hampshire Chair(s): Nagaraj K. Neerchal, University of Maryland, Chair(s): Philip J. Ramsey, University of New Hampshire Baltimore County 10:35 a.m. Are the Paradigms for Design of Experiments 10:35 a.m. Effect of Energy Import Costs on U.S. Real Gross Changing?—◆Bradley A. Jones, SAS Institute Inc. Domestic Income—◆Marshall B. Reinsdorf, Bureau 11:00 a.m. Comparing Computer-Generated Designs: Are of Economic Analysis G-Optimal Designs the Best Choice?—◆Douglas C.

11:00 a.m. Meeting Energy Data Needs in a Changing Energy Montgomery, Arizona State University Monday Environment—◆Janice Lent, Energy Information 11:25 a.m. Model Robust and Model Discriminating Designs— Administration ◆Christopher Nachtsheim, The University 11:25 a.m. Characterization, Evaluation, and Management of Minnesota of Prospective Benefits, Costs, and Risks in 11:50 a.m. Disc: Geoff G. Vining, Virginia Polytechnic Institute the Development of New Statistical Programs and State University for Energy—◆John L. Eltinge, Bureau of Labor 12:10 p.m. Floor Discussion Statistics; Polly Phipps, Bureau of Labor Statistics 11:50 a.m. Disc: Edward Blair, University of Houston 12:10 p.m. Floor Discussion 143 CC-206 ■ ✪ It’s a Dangerous World—Invited Section on Risk Analysis, Social Statistics Section, Section on 141 CC-144C Government Statistics Case Studies in Complex Bayesian Organizer(s): Bertrand Clarke, The University of British Columbia/ Computation—Invited University of Miami Section on Statistical Computing, Section on Bayesian Chair(s): Bertrand Clarke, The University of British Columbia/ Statistical Science University of Miami Organizer(s): Carlos M. Carvalho, The University of Chicago Chair(s): Carlos M. Carvalho, The University of Chicago 10:35 a.m. Uses and Generalizations of the Incremental Cost Effectiveness Ratio (ICER) in CE Health ◆ 10:35 a.m. Adaptive Mixture Modeling Metropolis Methods Studies— Andres Christen, Center for Mathematical for Bayesian Analysis of Nonlinear State-Space Research; Peter Müller, The University of Texas M.D. Models—◆Jarad Niemi, Duke University; Mike Anderson Cancer Center; Tina Shih, The University of West, Duke University Texas M.D. Anderson Cancer Center ◆ 11:05 a.m. Orthant-Normal Shrinkage Priors in Regression— 11:00 a.m. Terrorist Risk Assessment— Alyson Wilson, Iowa ◆Christopher Hans, The Ohio State University State University 11:35 a.m. Particle Learning and Smoothing—◆Hedibert F. 11:25 a.m. Model Risk in the Analysis of Personal Credit— ◆ Lopes, The University of Chicago; Carlos M. Carvalho, Robert Stine, The Wharton School The University of Chicago; Nicholas Polson, The 11:50 a.m. Out of Sight, Out of Mind: The Statistical University of Chicago; Michael Johannes, Columbia Whitewashing of Chronic Occupational Disease— Business School ◆Adam M. Finkel, University of Medicine and 12:05 p.m. Floor Discussion Dentistry of New Jersey 12:15 p.m. Floor Discussion

Washington, DC 91 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

144 CC-101 146 CC-209C Factors Affecting the Accuracy of the 2008 Semiparametric Methods with High-Dimensional Presidential Election Polling—Invited Data—Invited American Association of Public Opinion Research, Section on IMS, International Chinese Statistical Association, Biometrics Survey Research Methods, Social Statistics Section Section, Biopharmaceutical Section, Interface Foundation of Organizer(s): Paul J. Lavrakas, Consultant North America Chair(s): Trevor Thompson, The Associated Press Organizer(s): Donglin Zeng, The University of North Carolina at Chapel Hill Chair(s): Donglin Zeng, The University of North Carolina at 10:35 a.m. Election Polling Challenges: Cell Phones, the Chapel Hill Bradley Effect, and Voter Turnout—◆Scott Keeter, Pew Research Center 10:55 a.m. Methodological Issues in ABC News 2008 10:35 a.m. Identification of Cancer-Associated Gene Pathways Pre-Election Polling—Gary Langer, ABC News; from Analysis of Expression Data—◆Shuangge Ma, ◆Jon Cohen, The Washington Post Yale University; Michael Kosorok, The University of North Carolina at Chapel Hill 11:15 a.m. Limitations of Recorded-Voice Telephone Polling in Election 2008: Is This Method of Data Collection 11:05 a.m. Variable Selection in Nonparametric Additive Doomed in 2012?—◆Jay H. Leve, SurveyUSA Models—◆Jian Huang, The University of Iowa; Joel Horowitz, Northwestern University; Fengrong Wei, 11:35 a.m. Inferences from Matched Samples in the U.S. The University of Iowa National Elections from 2004 to 2008—◆Douglas Rivers, YouGov Polimetrix 11:35 a.m. Variable Selection Using the Seamless L0 (SEAL) Method—◆Xihong Lin, Harvard School of 11:55 a.m. Disc: Paul J. Lavrakas, Consultant Public Health 12:15 p.m. Floor Discussion 12:05 p.m. Floor Discussion

145 CC-102A 147 CC-207A JASA, Theory and Methods Invited Session— IMS Medallion Lecture III—Invited Invited IMS, Section on Government Statistics JASA, Theory and Methods Organizer(s): Xiaotong Shen, The University of Minnesota Organizer(s): Leonard A. Stefanski, North Carolina State University Chair(s): Bernard W. Silverman, St. Peter’s College, University Chair(s): Leonard A. Stefanski, North Carolina State University of Oxford

10:35 a.m. Prediction in Measurement Error Models—Raymond 10:35 a.m. High-Dimensional Inference: From Sparse Signals J. Carroll, Texas A&M University; ◆Aurore Delaigle, Recovery to Covariance Matrix Estimation— University of Bristol; Hall Peter, The University ◆Tony Cai, University of Pennsylvania of Melbourne 12:00 p.m. Floor Discussion 11:15 a.m. Disc: Jianqing Fan, Princeton University 11:35 a.m. Disc: John Staudenmayer, University of Massachusetts 11:55 a.m. Rejoinder: Aurore Delaigle, University of Bristol Invited Panels 10:30 a.m.–12:20 p.m. 12:10 p.m. Floor Discussion 148 CC-143B ✪ Protecting Individual Privacy in the Struggle Against Terrorism—Invited Section on Statistics in Defense and National Security, Social Statistics Section Organizer(s): Myron J. Katzoff, National Center for Health Statistics Chair(s): Lawrence H. Cox, National Center for Health Statistics Panelists: ◆Daniel Weitzner, Massachusetts Institute of Technology ◆Michael L. Cohen, Committee on National Statistics ◆Betty Chemers, National Academy of Sciences ◆Herb Lin, National Academy of Sciences 12:15 p.m. Floor Discussion

92 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:55 a.m. Sensitivity of Impulse Responses to Small Topic-Contributed Sessions Low-Frequency Co-Movements: Reconciling the 10:30 a.m.–12:20 p.m. Evidence on the Effects of Technology Shocks— Nikolay Gospodinov, Concordia University; ◆Alex Maynard, University of Guelph; Elena Pesavento, 149 CC-201 Emory University ■ Practical Considerations for Handling 12:15 p.m. Floor Discussion Missing Data in Controlled Clinical Trials— Topic-Contributed Biopharmaceutical Section Organizer(s): Abdul J. Sankoh, Vertex Pharmaceuticals, Inc. 151 CC-158B Chair(s): Abdul J. Sankoh, Vertex Pharmaceuticals, Inc. ■ Monte Carlo and Sequential Analyses: Methods and Applications—Topic-Contributed Monday 10:35 a.m. Practical Statistical Considerations for Handling Section on Bayesian Statistical Science, Interface Foundation of Dropouts in Longitudinal Clinical Trials—◆Cynthia North America M. DeSouza, Vertex Pharmaceuticals, Inc.; Abdul J. Organizer(s): Mike West, Duke University Sankoh, Vertex Pharmaceuticals, Inc. Chair(s): Raquel Prado, University of California, Santa Cruz 10:55 a.m. Comparison of Methods for Handling Dropouts in Longitudinal Ordered Categorical Data— 10:35 a.m. Adaptive Design for Model Selection—◆Fei Liu, ◆Mohamed Alosh, FDA University of Missouri-Columbia; Fan Li, Duke 11:15 a.m. Developing an Analytic Road Map for Incomplete University; David Dunson, Duke University Longitudinal Clinical Trial Data—◆Adam Meyers, 10:55 a.m. Targeted Sequential Resampling from Large Lilly USA, LLC Data Sets in Mixture Modeling—◆Ioanna 11:35 a.m. Endpoint Selection in the Presence of Missing Manolopoulou, Statistical and Applied Data—◆Guoxing (Greg) Soon, FDA Mathematical Sciences Institute 11:55 a.m. Disc: Lee-Jen Wei, Harvard University 11:15 a.m. Particle Learning DSGE Models—◆Francesca Petralia, Duke University; Carlos M. Carvalho, 12:15 p.m. Floor Discussion The University of Chicago; Hedibert F. Lopes, The University of Chicago; Hao Chen, Duke University 11:35 a.m. Particle Stochastic Search for High-Dimensional 150 CC-141 Variable Selection—◆Minghui Shi, Duke University Advances in Time Series Econometrics— 11:55 a.m. Sequential Learning in Dynamic Graphical Models—◆Hao Wang, Duke University; Craig Topic-Contributed Reeson, Duke University Business and Economic Statistics Section, Section on 12:15 p.m. Floor Discussion Government Statistics Organizer(s): Barbara Rossi, Duke University Chair(s): Robert P. Lieli, The University of Texas at Austin 152 CC-155 10:35 a.m. The Moving Blocks Bootstrap for Panel Linear ■ ✪ The NHIS Linked Data Files: A Data Regression Models with Individual Fixed Effects— Resource for Health Outcomes to Health ◆Silvia Goncalves, University of Montreal Policy—Topic-Contributed 10:55 a.m. Heteroskedasticity, Autocorrelation, and Spatial Section on Government Statistics, Section on Survey Correlation Robust Inference in Linear Panel Research Methods Models with Fixed Effects—◆Tim Vogelsang, Michigan State University Organizer(s): Kimberly Lochner, National Center for Health Statistics Chair(s): Christine S. Cox, National Center for Health Statistics 11:15 a.m. The Propagation of Regional Recessions— ◆Michael Owyang, Federal Reserve Bank of Saint Louis; James Hamilton, University of California, 10:35 a.m. Socioeconomic Differences in Life Expectancy— San Diego ◆Kimberly Lochner, National Center for Health 11:35 a.m. Local GMM Estimation of Time Series Models Statistics; Van L. Parsons, National Center for Health with Conditional Moment Restrictions—◆Nikolay Statistics; Nathaniel Schenker, National Center for Gospodinov, Concordia University; Taisuke Otsu, Health Statistics; Gloria Wheatcroft, National Center Yale University for Health Statistics; Elsie R. Pamuk, National Center for Health Statistics

Washington, DC 93 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

10:55 a.m. Using Linked Survey and Administrative Data 154 CC-150A to Build Imputational Models to Adjust Survey Estimates of Medicaid Coverage—◆Michael Improving Coverage Intervals for Survey- Davern, University of Minnesota; Jacob A. Klerman, Weighted Estimates—Topic-Contributed Abt Associates Inc.; Jeanette K. Ziegenfuss, Section on Survey Research Methods Mayo Clinic Organizer(s): Phillip S. Kott, U.S. Department of Agriculture 11:15 a.m. Are Expenditures Higher for Those Entering Chair(s): Jill A. Dever, RTI International Medicare at Age 65 Having Been Previously ◆ Uninsured?— Sandra L. Decker, National Center 10:35 a.m. Speeding Up the Asymptotics When Constructing for Health Statistics; Jalpa A. Doshi, University of One-Sided Coverage Intervals for Survey-Weighted Pennsylvania; Amy E. Knaup, University of Maryland; Estimates—◆Phillip S. Kott, U.S. Department Daniel E. Polsky, University of Pennsylvania of Agriculture 11:35 a.m. One More Step: NHIS-Linked Mortality Data 10:55 a.m. Estimation Using Gaussian Replicates of the ◆ Combined with EPA Air Quality Data— Jennifer D. Pivotal Based on the Weighted Quasi-Score Parker, National Center for Health Statistics; Nataliya Vector—◆Avi Singh, NORC at the University of Kravets, NOVA Research Company; Kimberly Chicago; Claude Nadeau, Statistics Canada Lochner, National Center for Health Statistics; Tracey Woodruff, University of California, 11:15 a.m. Empirical Likelihood--Based Calibration Methods San Francisco for Missing Data Problems—◆Jing Qin, National Institute of Allergy and Infectious Diseases 11:55 a.m. Disc: Elsie R. Pamuk, National Center for Health Statistics 11:35 a.m. Confidence Intervals for Proportion Estimates in Complex Samples: An Application to NAEP— 12:15 p.m. Floor Discussion ◆Andreas Oranje, Educational Testing Service 11:55 a.m. Disc: Mary E. Thompson, University of Waterloo 12:15 p.m. Floor Discussion 153 CC-143A Statistical Literacy 2009—Topic-Contributed Section on Statistical Education 155 CC-150B Organizer(s): Milo Schield, W.M. Keck Statistical Literacy Project ■ Chair(s): Milo Schield, W.M. Keck Statistical Literacy Project American Community Survey: Design and Usability Issues—Topic-Contributed Section on Survey Research Methods 10:35 a.m. Statistical Challenges in Medical Research: What Consumers Need to Know—◆Ronald R. Gauch, Organizer(s): Michael Beaghen, U.S. Census Bureau Marist College Chair(s): Rachel Harter, NORC at the University of Chicago 10:55 a.m. The Cult of Statistical Significance—◆Stephen T. Ziliak, Roosevelt University; Deirdre N. McCloskey, 10:35 a.m. Options for Allocating the American Community University of Illinois at Chicago Survey Sample—◆Don Keathley, U.S. Census Bureau; Steven P. Hefter, U.S. Census Bureau 11:15 a.m. Spinning Heads and Spinning News: Statistics in the Media—◆Rebecca Goldin, Statistical Assessment 10:55 a.m. Evaluation of the Effectiveness of the American Service/George Mason University Community Survey Family Equalization Project— ◆Mark E. Asiala, U.S. Census Bureau 11:35 a.m. Know Your Chances: A Curriculum to Help Students Become Better Consumers of Statistics—◆Steven 11:15 a.m. Using Sub-County Population Estimates as Woloshin, Dartmouth Institute for Health Policy and Controls in Weighting for the American Community Clinical Practice; Lisa Schwartz, Dartmouth Institute Survey—◆Keith A. Albright, U.S. Census Bureau for Health Policy and Clinical Practice 11:35 a.m. Usability of the American Community Survey 11:55 a.m. Academic Civic Engagement: What’s the Estimates of the Group Quarters Population for Downside?—◆Paul Roback, St. Olaf College Substate Geographies—◆Michael Beaghen, U.S. Census Bureau; Sharon Stern, U.S. Census Bureau 12:15 p.m. Floor Discussion 11:55 a.m. Assessment of Data Quality Filtering on the Reliability of Multi-Year Estimates in American Community Survey Data Products—◆Michael D. Starsinic, U.S. Census Bureau 12:15 p.m. Floor Discussion

94 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

156 CC-159B 11:55 a.m. Nonparametric Spectral Analysis with Applications to Seizure Characterization Using EEG Time New Directions in Social and Educational Series—◆Li Qin, Fred Hutchinson Cancer Research Statistics—Topic-Contributed Center; Yuedong Wang, University of California, Social Statistics Section Santa Barbara Organizer(s): Sandip Sinharay, Educational Testing Service 12:15 p.m. Floor Discussion Chair(s): Patty Becker, University of Michigan

10:35 a.m. A Matrix Time Series Model for Dynamic Social Networks—◆Xiaoyue Niu, University of Washington; 158 CC-160 Peter Hoff, University of Washington ✪ Health Policy Statistics Student Paper 10:55 a.m. Dimensionality Analysis for NELS:88 Data: The Awards—Topic-Contributed Effects of Complex Assessment Design on Section on Health Policy Statistics, Section on Bayesian Modeling Growth—◆Jiahe Qian, Educational Statistical Science Monday Testing Service; Xueli Xu, Educational Testing Service Organizer(s): Susan Paddock, RAND Corporation 11:15 a.m. Latent Regression Modeling in Educational Chair(s): Susan Paddock, RAND Corporation Surveys: A Simulation Study from the National Assessment of Educational Progress (NAEP)— ◆Yue Jia, Educational Testing Service; Lei Ye, 10:35 a.m. Learning from Near Misses in Medication Errors: Educational Testing Service; Xueli Xu, A Bayesian Approach—◆Jessica A. Myers, Johns Educational Testing Service Hopkins University; Francesca Dominici, Johns Hopkins University; Laura Morlock, Johns 11:35 a.m. Application of Multidimensional Item Response Hopkins University Theory Models to Report Diagnostic Scores in Educational Testing—◆Sandip Sinharay, 10:55 a.m. Sensitivity Analyses for Omitted Variable Bias Educational Testing Service; Shelby J. Haberman, in Multiple Regression in a Study of Right Heart Educational Testing Service Catheterization—◆Carrie Hosman, University of Michigan; Ben B. Hansen, University of Michigan 11:55 a.m. Disc: Matthew S. Johnson, Teachers College 11:15 a.m. Surrogate Screening Models for Determining 12:15 p.m. Floor Discussion Low Physical Activity in the Cardiovascular Health Study—◆Sandrah P. Eckel, Johns Hopkins Bloomberg School of Public Health; Karen Bandeen- Roche, Johns Hopkins Bloomberg School of Public 157 CC-204C Health; Paulo H. Chaves, Johns Hopkins Bloomberg Penalized Regression and Spline Models— School of Public Health; Linda P. Fried, Columbia Topic-Contributed University; Thomas A. Louis, Johns Hopkins Bloomberg School of Public Health Biometrics Section, Biopharmaceutical Section Organizer(s): Li Qin, Fred Hutchinson Cancer Research Center 11:35 a.m. Nonparametric Inference Procedure for Percentiles of the Random Effects Distribution Chair(s): Pang Du, Virginia Polytechnic Institute and State University in Meta-Analysis—◆Rui Wang, Harvard University; Lu Tian, Stanford University; Tianxi Cai, Harvard 10:35 a.m. Penalized Regression, Mixed Effects Models, and University; Lee-Jen Wei, Harvard University Appropriate Modeling—◆Nancy E. Heckman, The 11:55 a.m. Identification of Ovarian Cancer Symptoms in University of British Columbia; Richard Lockhart, Health Insurance Claims Data—◆Sean Devlin, Simon Fraser University; Jason D. Nielsen, University of Washington; Paula Diehr, University Carleton University of Washington; Robyn Andersen, Fred Hutchinson 10:55 a.m. Statistical Inference for Dynamic Models with the Cancer Research Center/University of Washington; Generalized Profiling Method—◆Jiguo Cao, Simon William Lafferty, University of Missouri Fraser University; David Campbell, Simon Fraser 12:15 p.m. Floor Discussion University; Giles Hooker, Cornell University; Jianhua Huang, Texas A&M University; James O. Ramsay, McGill University 11:15 a.m. Penalized Least Squares for Single Index Models— ◆Tao Huang, University of Virginia; Heng Peng, The Hong Kong Baptist University 11:35 a.m. Generalized Spline Mixed-Effects Models with Applications in AIDS Clinical Trials—◆Anna Liu, University of Massachusetts Amherst; Hua Liang, University of Rochester

Washington, DC 95 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

159 CC-208A Topic-Contributed Panels Quantile Regression: New Research Directions—Topic-Contributed 10:30 a.m.–12:20 p.m. Section on Nonparametric Statistics Organizer(s): Lan Wang, The University of Minnesota 161 CC-153 Chair(s): Yunming Mu, Portland State University Statistics in Business Schools: The Future?— Topic-Contributed 10:35 a.m. New Robust Statistical Procedures for ASA Special Interest Group on Statistics in Business Schools Semiparametric Regression Models—◆Bo Organizer(s): J. Keith Ord, Georgetown University Kai, Penn State University; Runze Li, Penn State Chair(s): Janice Derr, FDA University; Hui Zou, University of Minnesota

10:55 a.m. Quantile Regression for Medical Cost Data— Panelists: ◆Mark Berenson, Montclair State University ◆Huixia (Judy) Wang, North Carolina State University; Xiao-Hua (Andrew) Zhou, University ◆John McKenzie, Babson College of Washington ◆J. Keith Ord, Georgetown University 11:15 a.m. Single-Index Quantile Regression—◆Yan Yu, 12:15 p.m. Floor Discussion University of Cincinnati; Tracy Z. Wu, JPMorgan Chase Bank; Keming Yu, Brunel University 11:35 a.m. Locally Weighted Censored Quantile Regression— ◆Lan Wang, The University of Minnesota; Huixia Contributed Sessions (Judy) Wang, North Carolina State University 10:30 a.m.–12:20 p.m. 11:55 a.m. Quantile Regression: New Research Directions— ◆Mi-Ok Kim, Cincinnati Children’s Hospital Medical Center 162 CC-203B 12:15 p.m. Floor Discussion Case-Control Studies and Experimental Designs—Contributed Biometrics Section, Section on Government Statistics Chair(s): Jodi Lapidus, Consultant 160 CC-204B ■ ✪ Study Designs for Diagnostic Devices— 10:35 a.m. Optimal Experimental Designs for Determining Topic-Contributed Optimal Levels of Fertilizer—◆Wade Brorsen, Section on Statistics in Epidemiology, Biopharmaceutical Section Oklahoma State University; Francisca G.C. Richter, Organizer(s): Estelle Russek-Cohen, FDA; Jane Fryland, Federal Reserve Bank of Cleveland Genentech, Inc. 10:50 a.m. Likelihood-Based Hypothesis Test from an Chair(s): Lori Dodd, National Cancer Institute Outcome-Dependent Enriched Sample—Qing Kang, North Dakota State University; ◆Christopher I. Vahl, North Dakota State University 10:35 a.m. Tips for Designing Studies Evaluating Medical Tests: An FDA Statistical Perspective—◆Kristen L. 11:05 a.m. Linear Model Selection for Nearly Replicated Meier, FDA; Estelle Russek-Cohen, FDA Data—◆Andrew Neath, Southern Illinois University Edwardsville; Zugui Zhang, The University of Iowa; 10:55 a.m. Biomarker-Guided Modification to Existing Joseph Cavanaugh, The University of Iowa Treatments—◆Rong Tang, FDA; Estelle Russek-Cohen, FDA 11:20 a.m. Sample Size Calculation with Weighted Sign Tests for Paired Comparisons of Clustered Data— 11:15 a.m. Different Schemes of Verification Bias in Evaluating ◆Fan Hu, Southern Methodist University; Chul W. ◆ Medical Tests— Marina V. Kondratovich, FDA Ahn, The University of Texas Southwestern Medical 11:35 a.m. Design Issues for Studies of Diagnostic Devices Center at Dallas; William Schucany, Southern Involving Readers—◆Thomas E. Gwise, FDA Methodist University 11:55 a.m. EFM-CAD Study Designs—◆Bipasa Biswas, FDA; 11:35 a.m. Optimum Duration Designs for Phase II Oncology Gene Pennello, FDA Trials—◆Ying Lu, University of California, San 12:15 p.m. Floor Discussion Francisco; Shenghua K. Fan, California State University, East Bay 11:50 a.m. New Adaptive Procedure to Control the False Discovery Rate—◆Fang Liu, Temple University 12:05 p.m. Optimal Two-Stage Design When Adapting Between k Sample Sizes—◆Hong Wan, Merck & Co., Inc.; Susan Ellenberg, University of Pennsylvania; Keaven Anderson, Merck & Co., Inc.

96 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

163 CC-144B 11:50 a.m. Automatic Variable Shrinkage and Selection via Confidence Regions—◆Funda Gunes, North Programming Methodology—Contributed Carolina State University; Howard D. Bondell, Section for Statistical Programmers and Analysts, Interface North Carolina State University Foundation of North America 12:05 p.m. Using ANOVA-Simultaneous Principal Component Chair(s): Bob Derr, SAS Institute Inc. Analysis (ASCA) in Clinical Studies for Psoriasis— ◆Suyan Tian, Rockefeller University; Mayte Suárez- 10:35 a.m. Creating a More Efficient Way to Review Tables, Fariñas, Rockefeller University Figures, and Listings (TFLs)—◆Sandra Althouse, Eli Lilly and Company; Xuejing Mao, Eli Lilly and Company 10:50 a.m. Adaptive Design: New Tasks for a Statistical 164 CC-159A Analyst—◆Natalie C. Hall, Eli Lilly and Company MCMC, Sampling Algorithms, and

11:05 a.m. Recursive Sparse Estimation Using a Gaussian Approximations in Bayesian Inference— Monday Sum Filter—◆Michael Rotkowitz, The University Contributed of Melbourne; Lachlan Blackhall, The Australian Section on Bayesian Statistical Science National University Chair(s): Lawrence I. Pettit, Queen Mary University of London 11:20 a.m. A Tree-Based Algorithm for Identifying Subgroups of Subjects with Treatment Effect—◆Ilya A. Lipkovich, Eli Lilly and Company; Alexei A. 10:35 a.m. A Multi-Scale Adaptive Metropolis Algorithm— Dmitrienko, Eli Lilly and Company; Jonathan ◆Matthew J. Heaton, Duke University; Scott Denne, Eli Lilly and Company; Gregory Enas, Schmidler, Duke University Eli Lilly and Company 10:50 a.m. Bayesian Inference for the Inverse Problem 11:35 a.m. Open Source Adaptive Design Software in a and Applications—◆Huei-Wen Teng, Regulated Environment: A Case Study— Penn State University ◆Keaven Anderson, Merck & Co., Inc.

Washington, DC 97 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:05 a.m. A Note on the Algorithmic Convergence of Posterior 166 CC-208B Simulation for Mixtures of Logistic Regression Model—◆Joy (Yang) Ge, Merck Research Nonparametric Methods for Statistical and or Laboratories; Wenxin Jiang, Northwestern University Temporal Data—Contributed Section on Nonparametric Statistics 11:20 a.m. Orthogonal Data Augmentation for Bayesian Model Averaging—◆Joyee Ghosh, The University of Chair(s): James A. Calvin, Texas A&M University North Carolina at Chapel Hill; Merlise A. Clyde, Duke University 10:35 a.m. Monitoring Spatial Clusters Globally in 11:35 a.m. A New Algorithm to Generate Samples from the Spatio-Temporal Monitoring—◆Dan J. Spitzner, Repulsion Potts Model—◆Dai Feng, Merck Research University of Virginia Laboratories; Luke Tierney, The University of Iowa 10:50 a.m. Discrete-Time Survival Trees and Forests with 11:50 a.m. Bayesian Variable Selection via Perfect Sampling Time-Varying Covariates—◆Denis Larocque, HEC with Approximate Bounds—◆Cheongeun Oh, Montréal; Imad Bou-Hamad, HEC Montréal; Hatem New York University Ben-Ameur, HEC Montréal 12:05 p.m. A Derivative-Free Approach to Approximation of 11:05 a.m. Detailed Sales Forecasting and Promotion Analysis Computationally Expensive Posterior Densities— for Retail Providers—◆Sungil Kim, Georgia Institute ◆Nikolay Bliznyuk, Harvard School of Public Health of Technology; Nicoleta Serban, Georgia Institute of Technology 11:20 a.m. Random Forests versus Logistic Regression: A Comparison Using Real and Simulated Data— 165 CC-149A ◆Kathy L. Gray, California State University, Chico ■ Employment and Business Statistics— 11:35 a.m. Large-Scale Functional-Spatial Correlation— Contributed ◆Huijing Jiang, Georgia Institute of Technology; Section on Government Statistics, Section on Survey Nicoleta Serban, Georgia Institute of Technology Research Methods 11:50 a.m. Wavelet Function Estimation for Right-Censored Chair(s): Hyokyoung (Grace) Hong, Baruch College Data—◆Jeong-Ran Lee, Seoul National University; Hee-Seok Oh, Seoul National University

10:35 a.m. Research on Quarterly Benchmarking for the 12:05 p.m. Nonparametric Estimation of the Variogram and Its ◆ Current Employment Statistics (CES) survey— Spectrum— Chunfeng Huang, Indiana University; ◆Victoria Battista, Bureau of Labor Statistics; Chris Tailen Hsing, University of Michigan; Noel A. Cressie, Manning, Bureau of Labor Statistics; Kenneth W. The Ohio State University Robertson, Bureau of Labor Statistics 10:50 a.m. Using Current Employment Statistics (CES) Survey Data to Estimate Employment in Expanding and Contracting Establishments: Preliminary Results 167 CC-148 and Issues—◆Kenneth W. Robertson, Bureau of Advances in Survey Weighting—Contributed Labor Statistics Section on Survey Research Methods 11:05 a.m. Numbers as Pictures: Examples of Data Chair(s): Jeri M. Mulrow, National Science Foundation Visualization from the Business Employment Dynamics Program—◆Charles M. Carson, 10:35 a.m. A Simulation Study of Alternative Weighting Class Bureau of Labor Statistics Adjustments for Nonresponse When Estimating 11:20 a.m. Size Class Dynamics: Small and Large Firms in the a Population Mean from Complex Sample Survey 2008 Recession—◆Jessica G. Helfand, Bureau of Data—◆Brady T. West, University of Michigan Labor Statistics 10:50 a.m. An Evaluation of Sample Weighting in an RDD 11:35 a.m. Dynamics of Business Growth—◆Carol Leming, Survey with Multiple Population Controls— Bureau of Labor Statistics ◆Kennon R. Copeland, NORC at the University of 11:50 a.m. Improving the Job Openings and Labor Turnover Chicago; Meena Khare, CDC; Nadarajasundaram Survey’s Sampling Procedure—◆Sarah E. Goodale, Ganesh, NORC at the University of Chicago; Zhen Bureau of Labor Statistics; Darrell Greene, Bureau of Zhao, CDC Labor Statistics 11:05 a.m. Evaluation of Randomization-Based Estimation 12:05 p.m. The Impact of High Variances at the Lowest and Inference Methods—◆Randall K. Powers, Aggregate Levels on the CPI’s All-US-All-Items Bureau of Labor Statistics; John L. Eltinge, Variance—◆Owen Shoemaker, Bureau of Bureau of Labor Statistics Labor Statistics

98 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:20 a.m. An Empirical Study of Nonresponse Adjustment 12:05 p.m. A Correspondence Analysis on First-Time Methods for the Survey of Doctorate Recipients— Registries in the Breast Cancer Screening Program ◆Fan Zhang, National Science Foundation; Stephen in Central Portugal—◆Bruno C. de Sousa, Centre Cohen, National Science Foundation; Donsig for Malaria and Tropical Diseases; Vitor Rodrigues, Jang, Mathematica Policy Research, Inc.; Amang LPCC; Elisa Duarte, University of Minho; Dário Cruz, Sukasih, Mathematica Policy Research, Inc.; Sonya University of Coimbra Vartivarian, Mathematica Policy Research, Inc. 11:35 a.m. A Simulation Study to Compare Weighting Methods for Survey Nonresponses—◆Amang Sukasih, Mathematica Policy Research, Inc.; Donsig 169 CC-144A Jang, Mathematica Policy Research, Inc.; Sonya Teaching Statistical Inference—Contributed Vartivarian, Mathematica Policy Research, Inc.; Section on Statistical Education Stephen Cohen, National Science Foundation; Fan Zhang, National Science Foundation Chair(s): Byron J. Gajewski, The University of Kansas Monday 11:50 a.m. Design and Weighting Issues for the Dual-Frame Household Panel Survey ‘Labor Market and 10:35 a.m. Misconceptions and Properties of Friedman’s Social Security’—◆Hans Kiesl, Institute for Test—◆Philip Turk, West Virginia University; Employment Research Roy St. Laurent, Northern Arizona University 12:05 p.m. Overview of Software That Will Produce Sample 10:50 a.m. A New Paradigm for Testing: Tests Yielding Weight Adjustments—◆Michael B. Witt, Confidence Sets—◆Dan Voss, Wright State RTI International University 11:05 a.m. Hartley F-max Statistic for Unequal Sample Sizes— ◆William Warde, Oklahoma State University; Guohui Yang, Oklahoma State University 168 CC-209A 11:20 a.m. Confidence Intervals Using SOCR—◆Nicolas ■ Applications in Cancer Epidemiology— Christou, University of California, Los Angeles; Contributed Ivo D. Dinov, University of California, Los Angeles Section on Statistics in Epidemiology 11:35 a.m. Bedtime for Student’s t-Test?—◆Jim Bentley, Chair(s): Motomi Mori, Oregon Health & Science University University of Redlands 11:50 a.m. Accuracy in Parameter Estimation for Group Effects in Longitudinal Models: Sample Size Planning 10:35 a.m. Alcohol Consumption, BMI, and Colorectal Cancer for Narrow Confidence Intervals—◆Ken Kelley, and Mortality Follow-Up—◆Negasi T. Beyene, CDC University of Notre Dame; Joseph R. Rausch, 10:50 a.m. Treatment Effects under Early Detection— Cincinnati Children’s Hospital Medical Center ◆Shih-Yuan Lee, University of Michigan; 12:05 p.m. A Course Template for Statistical Inferential Alexander Tsodikov, University of Michigan Reasoning—◆William S. Rayens, University 11:05 a.m. Parametric and Nonparametric Analysis of Breast of Kentucky Cancer for Censored and Uncensored Data—Chris P. Tsokos, University of South Florida; ◆Chunling Cong, University of South Florida 11:20 a.m. Simulation Study of Hierarchical Modeling for 170 CC-143C Estimating Cancer Risks of Individual Genetic Computational Advances in Multivariate Variants—◆Marinela Capanu, Memorial Sloan- Kettering Cancer Center; Colin B. Begg, Memorial Advances—Contributed Sloan-Kettering Cancer Center Section on Statistical Computing, Interface Foundation of North America 11:35 a.m. A Generalized Self-Consistency Approach for Joint Modeling Survival and Binary Data—◆Chen Chair(s): Patrick Breheny, The University of Iowa Hu, University of Michigan; Alexander Tsodikov, University of Michigan 10:35 a.m. Inference for Multivariate Normal Mixtures and 11:50 a.m. A Stayer-Mover Mixture Markov Model for Disease Its Applications—◆Xianming Tan, Penn State Transitions in Early-Staged Breast Cancer Treated University with Breast-Conserving Therapy (BCT)—◆Wei-Ting 10:50 a.m. Difference in Causal Effects of Class Size on Hwang, University of Pennsylvania; Neha Vapiwala, Academic Achievement Between Black and University of Pennsylvania; Lawrence J. Solin, Albert Other Students: Multivariate Instrumental Variable Einstein Medical Center Estimators with Tennessee Class Size Data MAR— ◆Yongyun Shin, Virginia Commonwealth University

Washington, DC 99 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:05 a.m. Analysis of Multivariate Skew Normal Models with 11:50 a.m. State Space and Hidden Markov Models of Human Incomplete Data—◆Tsung-I Lin, National Chung Colon Cancer Involving Multiple Pathways— Hsing University; Hsiu-Jung Ho, National Chung ◆Wai-Yuan Tan, University of Memphis; Hsing University; Chiang-Ling Chen, National Y.W. Yan, The University of Memphis Chung Hsing University 12:05 p.m. Floor Discussion 11:20 a.m. Multivariate Analysis in Planetary Science: Understanding Jupiter’s Atmosphere—◆Irina Kukuyeva, University of California, Los Angeles; Amy Braverman, Jet Propulsion Laboratory; Padma 172 CC-204A Yanamandra-Fisher, Jet Propulsion Laboratory; Jan ■ de Leeuw, University of California, Los Angeles; Amy Missing Data in Clinical Trials—Contributed Simon-Miller, NASA Goddard Space Flight Center Biopharmaceutical Section 11:35 a.m. A New Approach to Cholesky-Based Covariance Chair(s): Kallappa M. Koti, FDA Regularization in High Dimensions—◆Adam J Rothman, University of Michigan; Elizaveta Levina, 10:35 a.m. Handling Missing Data in Diabetes Studies with University of Michigan; Ji Zhu, University Rescue—◆Yu Chen, Merck & Co., Inc.; Bret Musser, of Michigan Merck Research Laboratories 11:50 a.m. Computing Marginal eCDFs in Bivariate Correlated 10:50 a.m. Quantile Regression for the Decline of Lung Data with Missing Values—◆Irene B. Helenowski, Function in COPD Patients: A Longitudinal Northwestern University; Hakan Demirtas, Study with Drop-Out—◆Dacheng Liu, Boehringer University of Illinois at Chicago Ingelheim Pharmaceuticals, Inc. 12:05 p.m. Correlation Estimation in the Downton’s Bivariate 11:05 a.m. Analysis of Dichotomized Responses in Exponential Distribution Using Incomplete Longitudinal Studies with Missing Data— Samples—◆Qinying He, Southwestern ◆Kaifeng Lu, Merck & Co., Inc. University of Finance and Economics; Haikady 11:20 a.m. Comparison of Missing Data Approaches on N. Nagaraja, The Ohio State University Noninferiority Clinical Trials in Treatment of HIV Infection—◆Xia Xu, Merck Research Laboratories 11:35 a.m. Examining the Extent and the Impact of Missing Data in Oncology Clinical Trials— 171 CC-203A ◆Mark Rothmann, FDA Spatio-Temporal and High-Dimensional Data— 11:50 a.m. Estimating Treatment Effects in Randomized Contributed Clinical Trials with Noncompliance and Missing Biometrics Section, Interface Foundation of North America Outcomes—◆Yan Zhou, University of Michigan Chair(s): Inna Chervoneva, Thomas Jefferson University 12:05 p.m. Comparison of Right and Interval Censoring Methods in Analysis of Time to Progression 10:35 a.m. Testing Local Differences in Placental Shapes Using in Presence of Asymmetry and Missed Weighted Fourier Analysis—◆Jia Cao, Columbia Assessments—◆Somesh Chattopadhyay, FDA; University; Shubing Wang, Merck & Co., Inc.; Ian Shenghui Tang, FDA; Rajeshwari Sridhara, FDA McKeague, Columbia University 10:50 a.m. A Spatio-Temporal Transmission Model to Model the Spread of Bluetongue in Europe— ◆Christel Faes, Hasselt University; Marc Aerts, 173 CC-142 Hasselt University Inequality and Wage Differentials—Contributed 11:05 a.m. Longitudinal Image Analysis of Tumor/Brain Change Business and Economic Statistics Section in Contrast Uptake Induced by Radiation—◆Xiaoxi Chair(s): Carla Inclan, Freddie Mac Zhang, Pfizer Inc.; Timothy D. Johnson, University of Michigan; Roderick J.A. Little, University of 10:35 a.m. What Differentiates Between Women and Men in Michigan; Yue Cao, University of Michigan the Labor Market—◆Edna Schechtman, Ben Gurion 11:20 a.m. Generalized Volterra Model of Neural Population University of the Negev; Shlomo Yitzhaki, Central Dynamics for Hippocampal Prostheses—◆Dong Bureau of Statistics; Yulanda Geva, Central Bureau Song, University of Southern California; Theodore W. of Statistics Berger, University of Southern California 10:50 a.m. Multiple Imputation for Top-Coded Wages in 11:35 a.m. Generalized Additive Models with Spatio-Temporal German Social Security Register Data—◆Thomas Data—◆Xiangming Fang, East Carolina University; Büttner, Institute for Employment Research; Susanne Kung-Sik Chan, The University of Iowa Rässler, Otto-Friedrich University Bamberg

100 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:05 a.m. Are Job Centers More Effective When Caseloads ML12 Randomization Strategies in Multicenter Trials—◆Olga M. Are Reduced? An Evaluation of a Regional Pilot Kuznetsova, Merck & Co., Inc. Project—◆Katja Wolf, Institute for Employment ML13 The Use of Decision Analysis in Clinical Trials— Research; Barbara Hofmann, Institute for ◆Telba Irony, FDA Employment Research; Gerhard Krug, Institute for Employment Research 11:20 a.m. Establishment Wage Differentials and Occupational Employment—◆Jane G. Osburn, Bureau of 176 CC-Ballroom South Prefunction Labor Statistics Business and Economic Statistics Section 11:35 a.m. Interpreting the Cumulative Frequency Distribution Roundtable with Lunch (fee event) of Socioeconomic Data—◆Othmar W. Winkler, Business and Economic Statistics Section Georgetown University Organizer(s): Graham Elliott, University of California, San Diego 11:50 a.m. An Efficient Algorithm for the Computation of the

Gini Coefficient of the Generalized Beta Distribution Monday of the Second Kind—◆Monique Graf, Swiss Federal ML14 What Makes the Introductory Course in Applied Statistical Office Statistics for Business Students Different?— ◆John McKenzie, Babson College 12:05 p.m. Floor Discussion

177 CC-Ballroom South Prefunction Speaker with Lunch Section on Bayesian Statistical Science 12:30 p.m.–1:50 p.m. Roundtable with Lunch (fee event) Section on Bayesian Statistical Science Organizer(s): Alyson Wilson, Iowa State University 174 CC-301 Section on Statistics in Sports Speaker with ML15 Teaching Bayes to Undergraduates: Challenges and Lunch (fee event)—Speaker with Lunch Lessons Learned—◆Brani Vidakovic, Georgia Tech/ Section on Statistics in Sports Emory University Organizer(s): Scott Evans, Harvard University

ML07 Rating the Competition: Lessons from the World of Tournament Chess—◆Mark Glickman, Boston University 178 CC-Ballroom South Prefunction School of Public Health Section on Government Statistics Roundtable with Lunch (fee event) Section on Government Statistics Roundtables with Lunch Organizer(s): Lisa Blumerman, U.S. Census Bureau 12:30 p.m.–1:50 p.m. ML16 Communicating Statistics to Nontechnical Audiences— ◆Leonard M. Gaines, Empire State Development 175 CC-Ballroom South Prefunction Biopharmaceutical Section Roundtables with Lunch (fee event) 179 CC-Ballroom South Prefunction Biopharmaceutical Section Section on Health Policy Statistics Roundtable Organizer(s): Dionne Price, FDA with Lunch (fee event) Section on Health Policy Statistics ML08 Pooling versus No Pooling of Safety Data from Clinical Organizer(s): Susan Paddock, RAND Corporation Trials—◆Vipin Arora, Takeda Pharmaceuticals ML09 Data-Monitoring Committees: What Is the Scope ML17 Predicting Health Care Costs of Individual Patients— of the Information the DMC Can Review?— ◆Xiao-Hua (Andrew) Zhou, University of Washington ◆Dennis W. King, STATKING Consulting, Inc. ML10 Statistical Analyses of HIV Drug Resistance—◆David B. Hall, Boehringer Ingelheim Pharmaceuticals, Inc. ML11 Design and Analysis Issues for FDA Medical Device Submissions—◆Gary Kamer, FDA

Washington, DC 101 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

180 CC-Ballroom South Prefunction 184 CC-Ballroom South Prefunction Section on Physical and Engineering Sciences Section on Statistics and Marketing Roundtable Roundtables with Lunch (fee event) with Lunch (fee event) Section on Physical and Engineering Sciences Section on Statistics and Marketing Organizer(s): George Ostrouchov, Oak Ridge National Laboratory Organizer(s): Wolfgang S. Jank, University of Maryland

ML18 The Many Forms of Reliability Data—◆David C. Trindade, ML25 Online User-Generated Content—◆Wendy W. Moe, Sun Microsystems, Inc. University of Maryland ML19 Integrating Computer and Other Types of Experiments— ◆Thomas Santner, The Ohio State University 185 CC-Ballroom South Prefunction Section on Survey Research Methods 181 CC-Ballroom South Prefunction Roundtables with Lunch (fee event) Section on Statistical Education Roundtables Section on Survey Research Methods with Lunch (fee event) Organizer(s): Michael Elliott, University of Michigan Section on Statistical Education Organizer(s): Tisha L. Hooks, Winona State University ML26 Fitting Models and Estimating Model Parameters Using Data from Complex Surveys—◆Jean Opsomer, Colorado ML20 Using Computer-Based Teaching Materials Effectively— State University; Jay Breidt, Colorado State University ◆Dale Berger, Claremont Graduate University ML27 Health Surveys and the Survey Statistician— ML21 The Partnership of Industry and Academia in Providing ◆Novie Younger, Tropical Medicine Research Internship Opportunities for Undergraduate Statistics Institute, Jamaica Majors—◆Eileen King, Miami University ML22 Challenges in Developing an Online Service Course— ◆Brant Deppa, Winona State University 186 CC-Ballroom South Prefunction Social Statistics Section Roundtables with Lunch (fee event) 182 CC-Ballroom South Prefunction Social Statistics Section Section on Statistical Graphics Roundtable with Organizer(s): Joseph J. Salvo, NYC Department of City Planning Lunch (fee event) Section on Statistical Graphics, Section on Government Statistics ML28 Removing the Veil from Publicly Released Polls: Organizer(s): Heike Hofmann, Iowa State University What Is the Statistician’s Role in the Fight to Improve Statistical Literacy?—◆Stephen J. Dienstfrey, Independent Consultant ML23 Wouldn’t That Be Cool? Sharing Streams of Consciousness About Visualization on the ML29 Can We Teach Data Users to Use Survey Data Wisely?— Bleeding Edge—◆Dan Rope, SPSS ◆Deborah H. Griffin, U.S. Census Bureau

183 CC-Ballroom South Prefunction Section on Statistics in Defense and National Security Roundtable with Lunch (fee event) Section on Statistics in Defense and National Security Organizer(s): Jeffrey L. Solka, Naval Surface Warfare Center

ML24 Syndromic Surveillance: Issues and Its Evolution— ◆Henry Rolka, CDC

102 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Special Presentation 189 CC-207B Parzen’s Legacy on Modern Nonparametric 2:00 p.m.–3:50 p.m. Statistics—Invited Section on Nonparametric Statistics, Section on Bayesian 187 CC-202A Statistical Science, Interface Foundation of North America Late-Breaking Session I: Policymakers to Get Organizer(s): Todd Ogden, Columbia University Full Data Coverage of the Nation’s Service Chair(s): H. Joseph Newton, Texas A&M University Sector—Other ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical 2:05 p.m. Functional Data Analysis Using Dirichlet Association, International Indian Statistical Association Processes—◆Alan E. Gelfand, Duke University Organizer(s): Mark Wallace, Service Sector Statistics Division 2:30 p.m. Manny Parzen and Reproducing Kernel Hilbert Chair(s): Dennis Fixler, Bureau of Economic Analysis Spaces—◆Grace Wahba, University of

Wisconsin-Madison Monday Panelists: ◆Barry Bosworth, The Brookings Institution 2:55 p.m. A RKHS Framework for Functional Data Analysis— ◆Randy Eubank, Arizona State University ◆Carol Corrado, The Conference Board/Economic Programs 3:20 p.m. Disc: Jeffrey Hart, Texas A&M University ◆Robert Vastine, Coalition of Service Industries 3:40 p.m. Floor Discussion ◆Mark Wallace, Service Sector Statistics Division 3:40 p.m. Floor Discussion 190 CC-143A ■ ✪ New Tricks for Old Media: What Measurement and Method Tell Us About Invited Sessions 2:00 p.m.–3:50 p.m. Traditional Media Consumption and Effectiveness—Invited 188 CC-155 Section on Statistics and Marketing, Social Statistics Section ■ Statistics in the Research Methods Courses— Organizer(s): David A. Schweidel, University of Wisconsin-Madison Invited Chair(s): Erin McClintic Tanenbaum, Nielsen Claritas Section on Statistical Education, Social Statistics Section Organizer(s): Peter Westfall, Texas Tech University 2:05 p.m. Harnessing Statistical Techniques to Model Chair(s): Jessica M. Utts, University of California, Irvine Television Audiences Using Return-Path Set Top Box Data—◆Pete Doe, Nielsen Connections 2:30 p.m. Aural Choice—◆Ty Henderson, The University of 2:05 p.m. Statistics for Business Researchers—◆Sam Texas at Austin Woolford, Bentley University; Richard Cleary, Bentley University 2:55 p.m. Understanding ESPN Across Media—◆Glenn B. Enoch, ESPN, Inc. 2:30 p.m. Challenges in Teaching Advanced Statistical Methods for Observational Studies in a Subject- 3:20 p.m. Reexamining Television Tuning Behavior—◆David Matter Context—◆Mari Palta, University of A. Schweidel, University of Wisconsin-Madison Wisconsin-Madison 3:45 p.m. Floor Discussion 2:55 p.m. Turning our GAISE Toward Departments of Psychology—◆Patricia C. Rutledge, Allegheny College 3:20 p.m. Stealth Statistics: Teaching Research Methods in 191 CC-160 Graduate Nursing Education—◆Mary Mays, ■ ✪ Statistical Issues in Building and Evaluating Arizona State University Genetic Risk Predictors—Invited 3:45 p.m. Floor Discussion Section on Statistics in Epidemiology, Biopharmaceutical Section Organizer(s): Peter Kraft, Harvard School of Public Health Chair(s): Peter Kraft, Harvard School of Public Health

2:05 p.m. The Value of Single Nucleotide Polymorphisms in Projecting Breast Cancer Risk—◆Mitchell H. Gail, National Cancer Institute; Ruth Pfeiffer, National Cancer Institute

Washington, DC 103 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:30 p.m. Statistical Evaluation of Prognostic Genetic Models: 3:20 p.m. Valid Statistical Analysis for Logistic Regression Beyond the ROC Curve—◆Nancy Cook, Brigham with Multiple Sources—◆Robert Hall, Carnegie and Women’s Hospital Mellon University; Stephen Fienberg, Carnegie 2:55 p.m. Kernel Machine Approach to Testing the Mellon University; Yuval Nardi, Carnegie Mellon Significance of Multiple Markers for Risk University; Aleksandra B. Slavkovic, Penn Prediction—◆Tianxi Cai, Harvard University State University 3:20 p.m. Disc: Daniel Schaid, Mayo Clinic 3:45 p.m. Floor Discussion 3:40 p.m. Floor Discussion

194 CC-150B 192 CC-149B New Developments in Dimension Reduction— ■ ✪ Making Statistics Go Viral: Visualizing Illness Invited in Social Networks—Invited Biometrics Section, Biopharmaceutical Section, International Chinese Statistical Association Section on Statistical Graphics, Social Statistics Section, Section Organizer(s): Wensheng Guo, University of Pennsylvania on Statistics in Epidemiology, Section on Risk Analysis, Interface Foundation of North America Chair(s): Xiangrong Yin, The University of Georgia Organizer(s): Stanley Wasserman, Indiana University Chair(s): Stanley Wasserman, Indiana University 2:05 p.m. Likelihood-Based Sufficient Dimension Reduction for Regression—◆R. Dennis Cook, The University of Minnesota 2:05 p.m. Statistical Analysis and Visualization of Large-Scale Interpopulation Contagion— 2:35 p.m. Dimension Reduction for Non-Elliptically Distributed ◆Alessandro Vespignani, Indiana University Predictors—◆Bing Li, Penn State University 2:30 p.m. Using Diffusion Principles to Understand Disease 3:05 p.m. A Binary Response Transformation Expectation Spread—◆Thomas W. Valente, University of Method in Dimension Reduction—◆Li-Xing Zhu, Southern California Hong Kong Baptist University; Liping Zhu, East China Normal University 2:55 p.m. Network Visualizations for Diffusion Studies— ◆James Moody, Duke University; Jeff Smith, 3:35 p.m. Floor Discussion Duke University 3:20 p.m. Disc: Ann McCranie, Indiana University 3:40 p.m. Floor Discussion 195 CC-159B ■ Best Teaching Practices for Statistics in Translational Research—Invited 193 CC-102B Section on Teaching of Statistics in the Health Sciences, Social Statistics Section ■ ✪ Rigorous Foundations of Data Organizer(s): Carol Bigelow, University of Massachusetts Amherst Confidentiality in Statistical Databases—Invited Chair(s): Carol Bigelow, University of Massachusetts Amherst Section on Survey Research Methods, Committee on Privacy and Confidentiality Organizer(s): Aleksandra B. Slavkovic, Penn State University; 2:05 p.m. Building Bridges: Making Statistical Issues Adam D. Smith, Penn State University Accessible to the Biomedical and Translational Researcher—◆Taylor Pressler, The Ohio State Chair(s): John M. Abowd, Cornell University University 2:30 p.m. Analytic Perspectives for Translational Research: 2:05 p.m. Taking the Hard Work Out of Privacy: Interactive Controlling for the Uncontrollable—◆Deborah V. Data Analysis with End-to-End Privacy Guarantees Dawson, The University of Iowa; Clark M. Stanford, for All—◆Frank McSherry, Microsoft Research The University of Iowa 2:30 p.m. Integrating Differential Privacy with Statistical 2:55 p.m. Duke Medicine Online Core in Clinical Research: ◆ Theory— Adam D. Smith, Penn State University Customized Environment for Practicing Health 2:55 p.m. Differentially Private Categorical Data Analysis— Professionals—◆Steven C. Grambow, Duke ◆Aleksandra B. Slavkovic, Penn State University; University; Cynthia Coffman, Duke University Ivan Simeonov, Penn State University; Duy Vu, Medical Center; Lawrence H. Muhlbaier, Duke Penn State University University; Linda S. Lee, Duke University; Haiyan Zhou, Duke University; William E. Wilkinson, Duke University

104 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:20 p.m. Sending Someone Else to Find the Needle in 3:05 p.m. Outcome-Dependent Sampling Studies for the Haystack: Defining a Dialogue Between Longitudinal Binary Response Data with Translational Scientists and Statisticians— Time-Varying Covariates—◆Patrick Heagerty, ◆Andrea S. Foulkes, University of Massachusetts University of Washington; Jonathan Schildcrout, 3:45 p.m. Floor Discussion Vanderbilt University 3:25 p.m. Disc: John Neuhaus, University of California, San Francisco 3:45 p.m. Floor Discussion 196 CC-150A Outcome-Dependent Sampling Designs— Invited WNAR 197 CC-207A Organizer(s): Jonathan Schildcrout, Vanderbilt University Recent Advances and the Future of Statistics— Monday Chair(s): Jonathan Schildcrout, Vanderbilt University Invited IMS 2:05 p.m. A Likelihood Approach for Case-Control Family Organizer(s): Xiaotong Shen, The University of Minnesota Data—◆Yingye Zheng, Fred Hutchinson Cancer Chair(s): Michael Kosorok, The University of North Carolina at Research Center; Patrick Heagerty, University Chapel Hill of Washington 2:25 p.m. Analysis of Two-Phase Studies in the Presence of 2:05 p.m. Back to the Future: Do Recent Developments Participation Bias—◆Sebastien Haneuse, Group Tell Us Anything About the Future of Statistics?— Health Center for Health Studies ◆Jon A. Wellner, University of Washington 2:45 p.m. Accounting for Animal Movement in Estimation of 2:45 p.m. The Future of Indirect Evidence—◆Brad Efron, Resource Selection Functions: Sampling and Data Stanford University Analysis—James D. Forester, Harvard University; 3:25 p.m. Floor Discussion Hae Kyung Im, The University of Chicago; ◆Paul J. Rathouz, The University of Chicago

Monday, August 3 6:00 p.m. – 8:00 p.m. Renaissance Washington, DC, Hotel Grand Ballroom Central

Washington, DC 105 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

198 CC-158B Topic-Contributed Sessions ✪ New Developments in Model Selection— Invited 2:00 p.m.–3:50 p.m. SSC, Biopharmaceutical Section, International Chinese Statistical Association 200 CC-204B Organizer(s): Jiahua Chen, The University of British Columbia ■ ✪ Student Paper Competition: Bayesian Chair(s): Peter X.K. Song, University of Michigan Genomics and Genetics—Topic-Contributed Section on Bayesian Statistical Science, Biopharmaceutical 2:05 p.m. Feature Selection in GLM with Large Model Section, Section on Government Statistics Spaces—◆Jiahua Chen, The University of British Organizer(s): Michael J. Daniels, University of Florida Columbia; Zehua Chen, National University Chair(s): Tanzy Love, Carnegie Mellon University of Singapore

2:30 p.m. Composite Likelihood Information Criterion for 2:05 p.m. A Nonparametric Empirical Bayes Framework Model Selection in High-Dimensional Data— for Simultaneous Significance Testing—◆Ryan ◆ Xin Gao, York University; Peter X.K. Song, Martin, Purdue University; Surya T. Tokdar, University of Michigan Carnegie Mellon University; Surya T. Tokdar, 2:55 p.m. Model Selection Bias in Genome-Wide Genetic Carnegie Mellon University ◆ Studies— Lei Sun, University of Toronto 2:25 p.m. Bayesian Analysis of Array CGH Data—◆Xiaowei 3:20 p.m. Disc: Pengfei Li, University of Alberta Wu, Rice University; Hongxiao Zhu, The University of 3:40 p.m. Floor Discussion Texas M.D. Anderson Cancer Center; Marek Kimmel, Rice University 2:45 p.m. Alternative Bayesian Hierarchical Modeling in Imaging Genetics—◆Jie Shen, University of 199 CC-206 California, Irvine; Hal Stern, University of Cosmology and Astrophysics—Invited California, Irvine IMS, Section on Bayesian Statistical Science, Section on 3:05 p.m. Bayesian Mixture Modeling Using a Hybrid Government Statistics Sampler with Application to Protein Subfamily Identification—◆Youyi Fong, University of Organizer(s): Anirban DasGupta, Purdue University Washington; Jon Wakefield, University of Chair(s): Anirban DasGupta, Purdue University Washington; Kenneth Rice, University of Washington 3:25 p.m. Floor Discussion 2:05 p.m. Nonparametric Estimation of Filaments—◆Larry Wasserman, Carnegie Mellon University 2:35 p.m. Detection of Weak Lensing: A Statistical Challenge to Unveil the Dark Side of the Universe—◆Laura 201 CC-209B Cayon, Purdue University ■ ✪ Algebraic Methods—Topic-Contributed 3:05 p.m. Coherent Statistical Calibration of High-Energy IMS Photon Detectors—◆David A. van Dyk, University Organizer(s): Ian H. Dinwoodie, Duke University of California, Irvine; Vinay Kashyap, Harvard- Chair(s): Ian H. Dinwoodie, Duke University Smithsonian Center for Astrophysics; Hyunsook Lee, Harvard-Smithsonian Center for Astrophysics; Rima Izem, Harvard University 2:05 p.m. Algebraic Methods in Statistics—◆Ahmad S. 3:35 p.m. Floor Discussion Yasamin, Statistical and Applied Mathematical Sciences Institute 2:25 p.m. Conditional Independence Models via Filtrations— ◆Simon Lunagomez, Duke University; Sayan Mukherjee, Duke University; Robert L. Wolpert, Duke University 2:45 p.m. Trek Separation for Gaussian Graphical Models— ◆Seth Sullivant, North Carolina State University 3:05 p.m. Design of Experiments and Inference of Biochemical Networks—◆Reinhard Laubenbacher, Virginia Bioinformatics Institute; Brandilyn Stigler, Southern Methodist University

106 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:25 p.m. Discretization of Time Series Data—◆Paola 3:05 p.m. Time-Frequency Methods for Space-Time Models— Vera-Licona, Rutgers University; Elena S. ◆Peter F. Craigmile, The Ohio State University Dimitrova, Clemson University; John McGee, 3:25 p.m. Understanding Past Temperature Reconstruction Radford University; Reinhard Laubenbacher, by Integrating Different Sources—◆Bo Li, Purdue Virginia Bioinformatics Institute University; Douglas Nychka, National Center for 3:45 p.m. Floor Discussion Atmospheric Research; Caspar Ammann, National Center for Atmospheric Research 3:45 p.m. Floor Discussion 202 CC-204A ■ ✪ Applications of Bayesian Statistics and Information Theory—Topic-Contributed 204 CC-153 Section on Bayesian Statistical Science Statistical Analysis of Medical Device Data— Organizer(s): Refik Soyer, The George Washington University Topic-Contributed Monday Chair(s): Refik Soyer, The George Washington University Biopharmaceutical Section Organizer(s): Yao Huang, FDA 2:05 p.m. Estimating the Population Utility Function: Chair(s): Yao Huang, FDA A Parametric Bayesian Approach— ◆Rasim M. Musal, Texas State University 2:05 p.m. Optimizing Decision Rules for Trial Device 2:25 p.m. Bayesian Inference in Abandonment Processes Responder Identification—◆Jeng Mah, Regulatory of Call Centers—◆Tevfik Aktekin, The George and Clinical Research Institute, Inc. Washington University 2:25 p.m. Meta-Analysis of Time-to-Event Survival Curves 2:45 p.m. Prior Information Allocation for Collinear in Drug Eluting Stent Data—◆Hsini Liao, Boston Regression—◆Ehsan S. Soofi, University of Scientific Corporation; Hong Wang, Boston Scientific Wisconsin-Milwaukee; Nader Ebrahimi, Northern Corporation; Yun Lu, Boston Scientific Corporation Illinois University 2:45 p.m. Analysis of Repeated-Measures Score Data 3:05 p.m. A Short Note on Bayesian Analysis of Dynamic Obtained from Patient Questionnaires in Medical Probit Models—◆Minje Sung, Ajou University; Device Studies—◆Chang S. Lao, FDA Refik Soyer, The George Washington University 3:05 p.m. Modeling Heterogeneity Across Sites in One-Arm 3:25 p.m. Detection of Outliers in Bayesian Factor Analysis Study—◆Chul H. Ahn, FDA Using Information Complexity—◆Hamparsum 3:25 p.m. The Effect of Biodegradability on Drug Release Bozdogan, The University of Tennessee Behavior in Drug Eluting Stents—◆Shanti 3:45 p.m. Floor Discussion Gomatam, FDA 3:45 p.m. Floor Discussion

203 CC-209A Statistical Methods and Theory for Spatial and/ 205 CC-142 or Temporal Data—Topic-Contributed Trends and Forecasts in Time Series— Section on Statistics and the Environment, Section on Statistics Topic-Contributed in Defense and National Security, SSC, Interface Foundation of Business and Economic Statistics Section North America Organizer(s): Tucker S. McElroy, U.S. Census Bureau Organizer(s): Jun Zhu, University of Wisconsin-Madison Chair(s): Stuart Scott, Bureau of Labor Statistics Chair(s): Jun Zhu, University of Wisconsin-Madison

2:05 p.m. Equivalent Reproducing Kernels for Smoothing 2:05 p.m. A Block Bootstrap Under Long-Range Spline Predictors—◆Silvia Bianconcini, University Dependence—◆Dan Nordman, of Bologna; Estela Bee Dagum, University of Bologna Iowa State University 2:25 p.m. An Assessment of Trend Estimation Methods— 2:25 p.m. On Nonparametric Variance Estimation for Second- ◆Yorghos Tripodis, Boston University Order Statistics of Inhomogeneous Spatial Point Processes—◆Yongtao Guan, Yale University 2:45 p.m. The CES/JOLTS Divergence: How to Apply the Monthly Alignment Method to Help Close the Gap— 2:45 p.m. Local Whittle Estimator for Anisotropic Random Jeannine M. Mercurio, Bureau of Labor Statistics; Fields—◆Chae Young Lim, Michigan State ◆Edmond Cheng, Bureau of Labor Statistics University; Hongwen Guo, Educational Testing Service; Mark M. Meerschaert, Michigan 3:05 p.m. Issues in Trend Estimates for Official Statistics— ◆ State University Begoña Martín, Office for National Statistics; Duncan Elliott, Office for National Statistics;

Washington, DC 107 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Peter Meszaros, Statistics Canada; Craig McLaren, 2:45 p.m. Improving the Utility of Three-Year ACS Data: A UK Office for National Statistics Transportation Perspective—◆Elaine Murakami, 3:25 p.m. Kernel Singular Spectrum Analysis: Nonlinear Federal Highway Administration; Ed Christopher, Forecasting Using a Linear Method—◆Theodore Federal Highway Administration Alexandrov, University of Bremen 3:05 p.m. Disc: Graham Kalton, Westat, Inc. 3:45 p.m. Floor Discussion 3:25 p.m. Disc: Ken Hodges, Nielsen Claritas 3:45 p.m. Floor Discussion

206 CC-101 ■ ✪ Response Strategies for Establishment 208 CC-204C Surveys in the Economic Programs Directorate, ■ ✪ Measuring Poverty: New Research U.S. Census Bureau—Topic-Contributed Findings—Topic-Contributed Section on Government Statistics, Section on Survey Social Statistics Section, Section on Government Statistics Research Methods Organizer(s): Kathleen S. Short, U.S. Census Bureau Organizer(s): Ruth E. Detlefsen, U.S. Census Bureau Chair(s): Rebecca M. Blank, Under Secretary of Commerce for Chair(s): Shirin A. Ahmed, U.S. Census Bureau Economic Affairs, U.S. Department of Commerce

2:05 p.m. Response Improvement Strategies for the 2007 2:05 p.m. Cohabitation and Child Care in a Poverty Economic Census—◆Ruth E. Detlefsen, U.S. Census Measure—◆Kathleen S. Short, U.S. Census Bureau Bureau Shirin A. Ahmed, U.S. Census Bureau ; 2:25 p.m. Measuring MOOP with SIPP/MEPS—◆Sharon I. 2:25 p.m. Effectiveness of the Account Manager Program O’Donnell, U.S. Census Bureau Robert Marske, for the 2007 Economic Census— 2:45 p.m. National Academy of Sciences--Based Poverty U.S. Census Bureau ◆Michael J. Hartz, U.S. ; Thresholds: The Details of Alternatives and Choices Census Bureau in Specification—◆Thesia I. Garner, Bureau of Labor 2:45 p.m. Strategies to Improve Response Rates for Current Statistics ◆Robert J. Reinard, U.S. Economic Programs— 3:05 p.m. Experimental Poverty Measures: Geographic Census Bureau Adjustments from the American Community Survey 3:05 p.m. Improving Response Rates for the 2007 Census and BEA Price Parities—◆Trudi Renwick, U.S. of Government Employment—◆Kerstin K. Census Bureau Edwards, U.S. Census Bureau Kenneth L. Long, U.S. ; 3:25 p.m. Disc: Constance F. Citro, The National Academies Census Bureau; Grace O’Neill, Energy Information Administration; Carma Hogue, U.S. Census Bureau 3:45 p.m. Floor Discussion 3:25 p.m. Disc: Nancy Bates, U.S. Census Bureau 3:45 p.m. Floor Discussion

207 CC-201 ■ ✪ Challenges Related to The American Community Survey Three-Year Estimates— Topic-Contributed Section on Survey Research Methods Organizer(s): Anthony Tersine, U.S. Census Bureau Chair(s): Lars Lyberg, Statistics Sweden

2:05 p.m. The Quality of ACS Estimates for Small Population Groups—◆Alfredo Navarro, U.S. Census Bureau; Michael D. Starsinic, U.S. Census Bureau 2:25 p.m. Measurement of Geographic Mobility Using Three-Year Estimates from the American Community Survey—◆Joseph J. Salvo, NYC Department of City Planning; A. Peter Lobo, NYC Department of City Planning; Joel A. Alvarez, NYC Department of City Planning

108 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:20 p.m. Assessing Regression Modeling with Ordinal Topic-Contributed Panels Repeated Responses—◆Kao-Tai Tsai, 2:00 p.m.–3:50 p.m. Bristol-Myers Squibb Company 2:35 p.m. EWOC 3.0: Interactive Software for Dose Escalation in Cancer Phase I Clinical Trials—◆Zhiheng Xu, 209 CC-102A Emory University; Mourad Tighiouart, Emory ■ ✪ How Post-Traumatic Stress Disorder University; Andre Rogatko, Cedars-Sinai Medical (PTSD) Is Changing Disability Among Returning Center; Lin Pan, Emory University Veterans: What Can We Do?—Topic-Contributed 2:50 p.m. Design and Analysis Issues with Vector of Binary Committee on Statistics and Disability, Section on Events as Primary Outcome—◆Edward J. Mascha, Government Statistics Cleveland Clinic Foundation Organizer(s): Michele Connolly, Sweetgrass Consulting, LLC 3:05 p.m. Married to Mantel-Haenszel? Consider a Minimum- Chair(s): Joan L. Turek, U.S. Department of Health and Risk Affair!—◆Devan V. Mehrotra, Merck

Human Services Research Laboratories Monday 3:20 p.m. Weighted Kernel Fisher Discriminant Analysis Panelists: ◆Michele Connolly, Sweetgrass Consulting, LLC for Integrating Genomic and Clinical Data with Application to Cancer Prediction—◆Jemila S. ◆ Paula Schnurr, Veterans Affairs National Center for Hamid, Hospital for Sick Children; Celia M.T. Posttraumatic Stress Disorder Greenwood, University of Toronto; Joseph ◆Ronald Manderscheid, SRA International Beyene, University of Toronto ◆Cille Kennedy, U.S. Department of Health and 3:35 p.m. Study of Oncologic Treatment Effect Differences Human Services Between Gender and Age Groups—◆Weishi 3:45 p.m. Floor Discussion Yuan, FDA; Yu-Ling Chang, FDA; Rajeshwari Sridhara, FDA

210 CC-143B ■ So You Want to Be an Expert Witness?— 212 CC-158A Topic-Contributed New Approaches in Econometrics—Contributed Business and Economic Statistics Section Section on Statistical Consulting Chair(s): Tatevik Sekhposyan, The University of North Carolina at Organizer(s): Christopher H. Schmid, Tufts Medical Center Chapel Hill Chair(s): Joseph C. Cappelleri, Pfizer Inc.

2:05 p.m. Tests for Causality Between Two Infinite- ◆ Panelists: Christopher H. Schmid, Tufts Medical Center Order Vector Autoregressive Series—◆Chafik ◆Elaine Allen, Babson College Bouhaddioui, United Arab Emirates University; ◆Harold Feldman, University of Pennsylvania Jean-Marie Dufour, McGill University ◆Jeffrey Ginsberg, Kenyon and Kenyon 2:20 p.m. Efficient Nonparametric IV Estimation of Local Average Treatment Effects Using the 3:45 p.m. Floor Discussion Estimated Propensity Score and a Test for Unconfoundedness—◆Robert P. Lieli, The University of Texas at Austin; Stephen Donald, The University of Texas at Austin; Hsu Yu-Chin, The Contributed Sessions University of Texas at Austin 2:00 p.m.–3:50 p.m. 2:35 p.m. Score Test--Based on GEL in the Presence of Weakly Identified Nuisance Parameters— ◆Saraswata Chaudhuri, The University of North 211 CC-144B Carolina at Chapel Hill ■ Statistical Issues in Clinical Trials— 2:50 p.m. Wald Tests for Detecting Multiple Structural Contributed Changes in Persistence—◆Mohitosh Kejriwal, Biopharmaceutical Section Purdue University; Pierre Perron, Boston University; Jing Zhou, BlackRock, Inc. Chair(s): Ghideon Ghebregiorgis, FDA 3:05 p.m. Dynamic Factors in Periodic Time-Varying Regression Models—◆Marius Ooms, Vrije 2:05 p.m. Comparison of Methods for Meta-Analysis with Universiteit Amsterdam; Virginie Dordonnat, Sparse Events Using Patient-Year Data—Yang Zhao, Electricité de France; Siem Jan Koopman, Vrije Purdue University; ◆Hongwei Wang, Merck & Co., Universiteit Amsterdam Inc.; Arlene Swern, Merck & Co., Inc.

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3:20 p.m. Detecting and Testing Change Points in 2:35 p.m. Saturated Row-Column Designs and Their Nonparametric Models Based on Series Applications—◆Xianggui Qu, Oakland University Estimation Methods—◆Yingxing Li, Cornell 2:50 p.m. Quantile Estimation with Computer Experiments— University; Haiqiang Chen, Cornell University ◆Scott Vander Wiel, Los Alamos National 3:35 p.m. Floor Discussion Laboratory; Jim Gattiker, Los Alamos National Laboratory 3:05 p.m. Comparison of Screening Methods in the Presence of Interactions—◆Danel Draguljic, The Ohio State 213 CC-141 University; Dave Woods, University of Southampton; Advances in Survival Analysis—Contributed Angela Dean, The Ohio State University; Susan Lewis, University of Southampton ENAR Chair(s): Russ Roegner, U.S. Consumer Product Safety Commission 3:20 p.m. Bayesian-Inspired Minimum Aberration Two- and Four-Level Designs—◆Roshan J. Vengazhiyil,

Georgia Institute of Technology; Mingyao Ai, Peking Monday 2:05 p.m. Cox Regression Methodology Applied to the University; C.F. Jeff Wu, Georgia Institute Analysis of Multivariate Survival Response Data— of Technology ◆Shulamith T. Gross, Baruch College; Catherine 3:35 p.m. Floor Discussion Huber-Carol, Université Paris Descartes 2:20 p.m. Long-Term Survivor Models and Two-Component Mixture Models—Wonkuk Kim, University of South Florida; ◆Bong-Jin Choi, University of South Florida; Yong Xu, University of South Florida 215 CC-209C Clustering and Variable Selection in 2:35 p.m. Joint Modeling of Longitudinal and Time-to-Event Data with Random Changepoints—◆Chengjie High-Dimensional Data—Contributed Xiong, Washington University; Yuan Xu, Section on Statistical Learning and Data Mining, Interface Washington University Foundation of North America 2:50 p.m. Estimation of Overall Survival in an Illness-Death Chair(s): Matthias Katzfuss, The Ohio State University Model with Application to the Vertical Transmission of HIV-1—Halina Frydman, New York University; 2:05 p.m. Conditional Subspace Clustering of Skill ◆Michael Szarek, ImClone Systems Mastery Infomation—◆Elizabeth Ayers, 3:05 p.m. Joint Modeling of Longitudinally Measured Carnegie Mellon University Dialysis Reuse and Time-to-Death in the HEMO 2:20 p.m. Discovering Homogeneous Geographic Areas Study—◆Abdus Sattar, University of Pittsburgh; Using Clustering—◆Jin Yan Shao, IBM China Lisa A. Weissfeld, University of Pittsburgh; Christos Research Laboratory; Bin Zhang, IBM China Argyropoulos, University of Pittsburgh Medical Research Laboratory; Ming Xie, IBM China Center; Mark Unruh, University of Pittsburgh Research Laboratory; Li Xia, IBM China Research 3:20 p.m. Improved Survival Modeling Using a Piecewise Laboratory; Wenjun Yin, IBM; Jin Dong, IBM Exponential Approach—◆Gang Han, Moffitt Cancer China Research Laboratory Center; Michael J. Schell, Moffitt Cancer Center; 2:35 p.m. Clustering High-Dimension, Low Sample–Size Jongphil Kim, Moffit Cancer Center Data—◆Jeongyoun Ahn, The University of Georgia; 3:35 p.m. Floor Discussion Youngjoo Yoon, The University of Georgia 2:50 p.m. Image Segmentation by SUP Clustering Algorithm—◆Ting-Li Chen, Institute of Statistical Science, Academia Sinica 214 CC-149A 3:05 p.m. Effect of Number of Clusters, Cluster Size, and ■ Experimental Designs—Contributed Correction for Chance Agreement on the Shape of Section on Physical and Engineering Sciences, Section on Quality Similarity Indexes in Cluster Analysis—◆Ahmed N. and Productivity Albatineh, Nova Southeastern University Chair(s): Abhyuday Mandal, The University of Georgia 3:20 p.m. Penalization Methods for Simultaneous Supervised Clustering and Variable Selection—◆Dhruv Sharma, North Carolina State University; Howard D. Bondell, 2:05 p.m. Choosing a Strength Three Orthogonal Array North Carolina State University; Hao (Helen) Zhang, to Estimate Interactions—◆Robert W. Mee, North Carolina State University The University of Tennessee 3:35 p.m. Relations Between Quantitative and Categorical 2:20 p.m. 24-Run Hadamard Designs for Estimation and Variables: New Aspects—◆Igor Mandel, Telmar Detection of Interactions—◆Yingfu F. Li, Group Inc.; Boris Mirkin, University of London University of Houston-Clear Lake

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216 CC-202B 2:35 p.m. Nonparametric Incidence Estimation from Prevalent Cohort Data—◆Marco Carone, Johns Hopkins Innovations in Imputation Methods— Bloomberg School of Public Health; Masoud Contributed Asgharian, McGill University; Mei-Cheng Wang, Section on Survey Research Methods, Section on Bayesian Johns Hopkins Bloomberg School of Public Health; Statistical Science Daniel Scharfstein, Johns Hopkins Bloomberg School Chair(s): Paul J. Lavrakas, Consultant of Public Health 2:50 p.m. Evaluation of Medical Diagnostic Systems with 2:05 p.m. Posterior predictive checking of imputation Multiple Heterogeneous Biomarkers—◆Carol Y. models—◆Yulei He, Harvard Medical School; Lin, CDC; Lance A. Waller, Emory University; Robert Alan M. Zaslavsky, Harvard Medical School H. Lyles, Emory University 2:20 p.m. Analyses Based on Combining Similar Information 3:05 p.m. Assessing Risk of a Factor Using Impact Numbers from Multiple Surveys—◆Georgia Roberts, Statistics in a Case-Control Study—◆Khairul Islam, Wayne Canada; David Binder, Statistics Canada (Retired) State University; Tanweer J. Shapla, Eastern Michigan University 2:35 p.m. Performance of Sequential Imputation Method in Multilevel Settings—◆Enxu Zhao, New York 3:20 p.m. Multilevel Modeling with Scaled Weights vs. Models State Department of Health; Recai M. Yucel, State Based on Generalized Estimating Equations (GEE) University of New York at Albany with Bootstrap Variance Estimation—◆Alomgir Hossain, University of Saskatchewan; Punham 2:50 p.m. The Practice of Imputation Methods with Structural Pahwa, University of Saskatchewan Equation Models—◆Cherie J. Alf, Iowa State University; Michael D. Larsen, Iowa State University; 3:35 p.m. Estimating Equations—Alan J. Lee, University of Frederick O. Lorenz, Iowa State University Auckland; ◆Alastair Scott, University of Auckland; Chris Wild, University of Auckland 3:05 p.m. Imputation of Gaps in Transaction Sequences— ◆Robin Lee, NORC at the University of Chicago; Michael P. Cohen, NORC at the University of Chicago; Fritz Scheuren, NORC at the University of Chicago 218 CC-203B 3:20 p.m. Imputation of Income, Poverty, and Medicaid Status in the Ohio Family Health Survey—◆Ronaldo ■ From Meteorology to Weather—Contributed Iachan, Macro International, Inc.; Bo Lu, The Section on Statistics and the Environment, Section on Bayesian Ohio State University; Thomas Duffy, Macro Statistical Science International, Inc. Chair(s): Devin Johnson, National Marine Mammal Laboratory 3:35 p.m. Imputation of Nominal Variables Using Gaussian- Based Routines—◆Recai M. Yucel, State University 2:05 p.m. Bayesian Graphical Models for Multivariate Spatial of New York at Albany Data with Application to Environmental Data— ◆Kathryn M. Irvine, Montana State University; Alix Gitelman, Oregon State University 2:20 p.m. Inter-Annual Modeling and Seasonal Forecasting 217 CC-143C of Intermountain Snowpack Dynamics—◆James B. New Developments in Epidemiologic Methods— Odei, Utah State University; Mevin B. Hooten, Utah Contributed State University; Jiming Jin, Utah State University Section on Statistics in Epidemiology 2:35 p.m. Bayesian Hierarchical Modeling for Paleoclimate Chair(s): Arkendra De, FDA Reconstruction from Geothermal Data—◆Jenny Brynjarsdottir, The Ohio State University; L. Mark Berliner, The Ohio State University 2:05 p.m. Improvement in Performance by Combining 2:50 p.m. Exploring a Possibly Increasing Trend of Hurricane Biomarkers in Diagnostic Medicine—◆Aasthaa Activity by a SiZer Approach—◆Jesper Rydén, Bansal, University of Washington; Margaret Pepe, Uppsala University University of Washington 3:05 p.m. Tree-Ring--Based Climate Reconstruction— 2:20 p.m. An Estimating Equations Approach for Latent ◆Matthew Schofield, Columbia University; Transition Models with Latent Class Predictors in Richard Barker, University of Otago Drug Use Epidemiology—◆Beth A. Reboussin, Wake Forest University School of Medicine; Nicholas 3:20 p.m. Floor Discussion Ialongo, Johns Hopkins Bloomberg School of Public Health

112 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

219 CC-159A 3:05 p.m. Regularity of Irregularity—◆Brani Vidakovic, Advances in the Implementation and Analysis of Georgia Tech/Emory University; Kichun S. Lee, Georgia Institute of Technology Monte Carlo Methods—Contributed 3:20 p.m. Approximation of Likelihood by the Projection Section on Statistical Computing, Section on Bayesian Statistical Pursuit Regression for Multi-Parameter Science, Interface Foundation of North America Distributions—◆Ahmet Sezer, Anadolu University Chair(s): Yongyun Shin, Virginia Commonwealth University 3:35 p.m. Regularized Estimation in AFT Models with High-Dimensional Covariates—◆Liping Huang, 2:05 p.m. Reconstructing the Energy Landscape of a University of Kentucky; Mai Zhou, University of Distribution from Monte Carlo Samples—◆Qing Kentucky; Arne C. Bathke, University of Kentucky Zhou, University of California, Los Angeles; Wing H. Wong, Stanford University 2:20 p.m. Gibbs Ensemble for Incompatible Conditional

Models—◆Yuchung J. Wang, Rutgers 221 CC-144C Monday University-Camden Neuroimaging Analysis—Contributed 2:35 p.m. Two Case Studies of Power Analysis for Clinical Biometrics Section, Interface Foundation of North America ◆ Trial Designs by Using Simulations— Junxiang Chair(s): Robert Krafty, University of Pittsburgh Luo, Eli Lilly and Company 2:50 p.m. Computer-Aided Reasoning in Statistics— 2:05 p.m. Design Effects with Generalized Linear Mixed ◆Leif Johnson, The University of Minnesota Effects Model—◆Qiaohao Zhu, University of Alberta 3:05 p.m. Random Graph Models for Inference: The Devil 2:20 p.m. Signal Extraction in Noisy Images: Improvements Is in the Details—◆Elizabeth A. Beer, Johns to Wavelet-Based False Discovery Rate Methods— Hopkins University; Carey E. Priebe, Johns ◆Joel O’Hair, Southern Methodist University; Wayne Hopkins University; Edward R. Scheinerman, A. Woodward, Southern Methodist University; Johns Hopkins University Richard F. Gunst, Southern Methodist University; 3:20 p.m. Distribution of Spaced Seed Statistics Through William Schucany, Southern Methodist University Minimal Markov Chain Embedding—◆KeTrena S. 2:35 p.m. NMR Peak Alignment Through Lineshape Modeling Phipps, North Carolina State University; Donald E.K. and Dynamic Programming—◆Cheng Zheng, Martin, North Carolina State University Purdue University; Shucha Zhang, Purdue University; 3:35 p.m. Floor Discussion Daniel Raftery, Purdue University; Olga Vitek, Purdue University 2:50 p.m. The Effects of Preprocessing on fMRI Data— ◆Daniel B. Rowe, Medical College of Wisconsin 220 CC-203A 3:05 p.m. Semiparametric Modeling for Activation in Nonparametric Estimation—Contributed Language Processing with fMRI Data—◆Namhee Section on Nonparametric Statistics Kim, The Ohio State University; Prem K. Goel, The Chair(s): Huiyan Sang, Texas A&M University Ohio State University 3:20 p.m. Spatial Clustering of Response Curves from Multi- 2:05 p.m. A Theil-Type Estimate in Multiple Linear Regression Subject fMRI Studies—◆Lucy Robinson, Columbia and Its Asymptotics—◆Gang Shen, Purdue University; Martin Lindquist, Columbia University University 3:35 p.m. QTL Mapping on Shape—◆Guifang Fu, 2:20 p.m. Nonparametric Regression Analysis of SPD Penn State University Matrices—◆Ying Yuan, The University of North Carolina at Chapel Hill; Hongtu Zhu, The University of North Carolina at Chapel Hill; J. Steve Marron, The University of North Carolina at Chapel Hill; Dinggang 222 CC-148 Shen, The University of North Carolina at Chapel Hill Applied Longitudinal Data Analysis— 2:35 p.m. The ed Method for Nonparametric Density Contributed ◆ Estimation and Diagnostic Checking— Ryan P. Biometrics Section Hafen, Purdue University; William S. Cleveland, Purdue University Chair(s): Benjamin Leiby, Thomas Jefferson University 2:50 p.m. Simultaneous Confidence Bands for Mean Response Functions and Their Derivatives— 2:05 p.m. Comparison of Prediction Interval Methods for ◆Benjamin K. Hall, University of Kentucky; a One-Way Random Effects Model—◆Jamie M. Richard Charnigo, University of Kentucky; Baldwin, Info Tech, Inc.; Ramon Littell, University Cidambi Srinivasan, University of Kentucky of Florida

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2:20 p.m. Summarizing Response: When ‘Effect Over Time’ 224 CC-144A Doesn’t Actually Capture an Intervention’s Effect ■ Repeated Measures and Longitudinal Data in Longitudinal Data—Rochelle E. Tractenberg, Georgetown University Medical Center; ◆Kang- Analysis—Contributed Hsien Fan, Georgetown University; Anne-Michelle Biopharmaceutical Section Noone, Georgetown University; Kathryn Sandberg, Chair(s): Mohamed Alosh, FDA Georgetown University Medical Center 2:35 p.m. Cost-Efficient Designs for Longitudinal Mixed 2:05 p.m. The Gradient Function for Checking Goodness- Effects Models—◆Martijn Berger, of-Fit of the Random-Effects Distribution in Mixed Maastricht University Models—◆Geert Verbeke, Katholieke Universiteit 2:50 p.m. Maximum Likelihood Estimation of Unconstrained Leuven; Geert Molenberghs, Hasselt University/ Parameterization for the Covariance of Multivariate Katholieke Universiteit Leuven Longitudinal Data—◆Chulmin Kim, Rochester 2:20 p.m. Longitudinal Structural Mixed Models and Causal Institute of Technology Inference in Surgical Trials with Noncompliance— 3:05 p.m. Assessing Agreement with Repeated Measures for ◆Colleen Sitlani, University of Washington; Patrick Random Observers—◆Chia-Cheng Chen, North Heagerty, University of Washington Carolina State University; Huiman Barnhart, 2:35 p.m. Handling Baseline Responses in Repeated Duke University Measures Analyses with Data Missing at Random— 3:20 p.m. Floor Discussion ◆Phillip Dinh, FDA; Peiling Yang, FDA 2:50 p.m. Weighted Fourier Analysis of Longitudinal Data— ◆Shubing Wang, Merck & Co., Inc.; Christopher Tong, Merck & Co., Inc. 223 CC-208B 3:05 p.m. Missing Data Imputation for Estimating Time-to- Statistical Genetics and Computational Event from Longitudinal Continuous Data—◆Lei Biology—Contributed Xu, Merck & Co., Inc.; Kaifeng Lu, Merck & Co., Inc.; Bret Musser, Merck Research Laboratories Devan V. IMS ; Mehrotra, Merck Research Laboratories Chair(s): Adam J Rothman, University of Michigan 3:20 p.m. Spatio-Temporal Modeling of Electrical Muscle Resistance of Patients with Amyotrophic Lateral 2:05 p.m. Competing Risks with Missing Covariates: Effect of Sclerosis Using Generalized Additive Mixed Matching Haplotypes on BMT Patients—◆Thomas Model—◆Catherine Stamoulis, Harvard Medical Scheike, University of Copenhagen School; Seward Rutkove, Harvard Medical School 2:20 p.m. Classification Model Based on Permanent Process 3:35 p.m. Statistical Models for Analyzing Recurrent Events with Application to Microarray Analysis—◆Jie Yang, with Application to Hypoglycemia Data in Diabetes University of Illinois at Chicago Clinical Trials—◆Xiaodan Wei, sanofi-aventis; Yujun 2:35 p.m. Robust DNA Copy Number Estimation and SNP Wu, sanofi-aventis; Peng-Liang Zhao, sanofi-aventis Genotype Calling: A Single Array Approach— ◆Wenjiang Fu, Michigan State University; Lin Wan, Peking University; Kelian Sun, Michigan State University; Qi Ding, Michigan State University; Ming 225 CC-208A Li, Michigan State University; Yalu Wen, Michigan ■ Bayesian Variable Selection and Genomics— State University; Yuehua Cui, Michigan State University; Robert C. Elston, Case Western Reserve Contributed University; Minping Qian, Peking University Section on Bayesian Statistical Science 2:50 p.m. Genotype Calling Accuracy Varies with the Arrays in Chair(s): Fei Liu, University of Missouri-Columbia the Joint Calling Procedure—◆Yalu Wen, Michigan State University; Ming Li, Michigan State University; 2:05 p.m. Impact of Informative Prior in Discrete Bayesian Wenjiang Fu, Michigan State University Graphical Models: Application to Genome-Wide 3:05 p.m. Quality Control of Affymetrix SNP Arrays by Association Studies—◆Jinnan Liu, Samuel Imputation of Damaged Area—◆Ming Li, Michigan Lunenfeld Research Institute of Mount Sinai State University; Wenjiang Fu, Michigan State Hospital; Laurent Briollais, Samuel Lunenfeld University; Yalu Wen, Michigan State University Research Institute of Mount Sinai Hospital; Adrian Dobra, University of Washington; Helene Massam, 3:20 p.m. Nonparametric Estimation of Gene-Wise York University Variance for Microarray Data—◆Yue Niu, Princeton University 2:20 p.m. A Bayesian Semiparametric Hierarchical Model for Analyzing Differential Expression in 3:35 p.m. Floor Discussion Sequence-Based Gene Expression Data— ◆Soma S. Dhavala, Texas A&M University; Bani K. Mallick, Texas A&M University

114 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:35 p.m. Hierarchical Bayesian Variable Selection for Health policy, epidemiology, public health Genetic Association—◆Deukwoo Kwon, 05 The Relationship Between Reliability and Misclassification National Cancer Institute in Physician Quality and Cost Profiles—◆John L. Adams, 2:50 p.m. Seeking Higher-Order Chromatin Domains in RAND Health; Ateev Mehrotra, RAND Health; J. William Mouse Stem Cells via Hidden Markov Models— Thomas, University of Southern Maine; Elizabeth A. ◆Jessica L. Larson, Harvard University; McGlynn, RAND Health Guocheng Yuan, Harvard University 3:05 p.m. Bayesian Variable Selection in Generalized Sampling and survey methodology Gaussian Process Models—◆Terrance D. Savitsky, 06 Innovative Guidance for the Design of New Surveys or Rice University; Marina Vannucci, Rice University; Major Revisions of Existing Surveys—◆Jeri M. Mulrow, Naijun Sha, The University of Texas at El Paso National Science Foundation 3:20 p.m. Understanding Inference from Stochastic Search Variable Selection with Different Priors: How Much

Evidence Is There?—◆Michael D. Swartz, The Monday University of Texas M.D. Anderson Cancer Center 227 CC-L Street Bridge 3:35 p.m. Floor Discussion Topic-Contributed Oral Poster Presentations: Data Expo 2009—Topic-Contributed Section on Statistical Graphics Organizer(s): Hadley Wickham, Rice University Chair(s): Lara Schmidt, RAND Corporation Poster Presentations 2:00 p.m.–3:50 p.m. Graphics, visualization 07 Data Expo 2009: Flight Delays—Through a Glass Lately—◆Waqas A. Malik, Uni Augsburg; Antony Unwin, 226 CC-L Street Bridge Uni Augsburg Invited Poster Oral Presentations: Statistics in 08 Data Expo 2009: Congestion in the Sky: Visualizing Policy—Invited Domestic Airline Traffic with SAS—◆Rick Wicklin, SAS Section on Statistics in Defense and National Security, Section Institute Inc.; Robert Allison, SAS Institute Inc. on Health Policy Statistics, Section on Survey Research Methods, 09 Data Expo 2009: Minimizing the Probability of Section on Physical and Engineering Sciences Experiencing a Flight Delay—Tanujit Dey, College of Organizer(s): Lara Schmidt, RAND Corporation William & Mary; ◆David Phillips, College of William & Mary; Patrick Steele, Chair(s): Lara Schmidt, RAND Corporation 10 Data Expo 2009: What Airline Is Best for You?— ◆Nathan Yau, University of California, Los Angeles QC, operation research, risk assessment 11 Data Expo 2009: Comparing SFO and OAK— 01 Exploratory Data Analysis at the Boundary of Statistics ◆Charlotte Wickham, University of California, Berkeley and Engineering Design Optimization—◆Theodore Allen, The Ohio State University; Mikhail Bernshteyn, Sagata Ltd.; 12 Data Expo 2009: Taking Off!—◆Heike Hofmann, Ravishankar Rajagopalan, The Ohio State University Iowa State University Defense and National Security 13 Data Expo 2009: On the Use of Dynamic Information Displays for Multidimensional Space-Time Data 02 Planning Surveillance for a Stockpile That Might Exploration—◆Jose J. Hernandez, W.R. Grace Degrade—◆Scott Vander Wiel, Los Alamos National Laboratory; C. Shane Reese, Brigham Young University; 14 Data Expo 2009: Make a Smart Choice on Booking Your Alyson Wilson, Iowa State University; Todd Graves, Flight!—◆Yu-Hsiang Sun, Case Western Reserve University Los Alamos National Laboratory 15 Data Expo 2009: Airline Data for Raleigh-Durham International—◆Michael T. Crotty, SAS Institute Inc. Graphics, visualization 16 Data Expo 2009: The Airplane Data Set … What’s the Big Deal?—◆Michael Kane, Yale University 03 Scatterplots for Sampling Weighted Data— ◆Thomas Lumley, University of Washington 17 Data Expo 2009: Kaleidoscope Graphs—◆Mario A. Morales, Hunter College 18 Data 2009: Airline On-Time Performance— Defense and National Security ◆Hadley Wickham, Rice University 04 Disclosure Limitation Techniques for Tabular Data— 19 Data Expo 2009: What Airlines Would You Avoid ◆Joe Fred Gonzalez, Jr., National Center for for Your Next Flight?—◆Haolai Jiang, Western Michigan Health Statistics University; Jung-Chao Wang, Western Michigan University

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228 CC-L Street Bridge 230 CC-Hall D Contributed Oral Poster Presentations— ■ Topic-Contributed Oral Poster Presentations: Contributed Experiences in Consulting at Virginia Tech— Section on Statistics in Defense and National Security Topic-Contributed Chair(s): Lara Schmidt, RAND Corporation Section on Statistical Consulting Organizer(s): Laura J. Freeman, Virginia Polytechnic Institute and Defense and National Security State University 20 Opinion Pooling on Maps—◆Jonathan Wilson, San Diego Chair(s): Lara Schmidt, RAND Corporation State University; Kristin Duncan, San Diego State University Statistical consulting Mathematical statistics, distribution theory, robust statistics 25 A Comparative Statistical Analysis for Forest Service Trail Tread Width—◆Laura J. Freeman, Virginia Polytechnic 21 Expected and Observed Fisher Information in Variance

Institute and State University Monday Estimation for Maximum Likelihood Estimates—◆Xumeng Cao, Johns Hopkins University; James C. Spall, Johns 26 Using Meteorological Data to Predict Ozone Levels in Hopkins University Applied Physics Laboratory Rural Areas—◆John Szarka, Virginia Polytechnic Institute and State University; Nels Johnson, Virginia Polytechnic Institute and State University Experimental design 27 Predicting Mortality in Infants—◆Mark Seiss, Virginia 22 An Efficient Approach for Finding Optimal Resource Polytechnic Institute and State University Allocations in a Missile Reliability Study—◆Jessica Chapman, St. Lawrence University; Max Morris, Iowa 28 Ecological Application of Changepoint Models— ◆ State University; Christine Anderson-Cook, Los Alamos Jonathan Duggins, Virginia Polytechnic Institute and State National Laboratory University; Dong-Yun Kim, Virginia Polytechnic Institute and State University; Sue Newman, South Florida Water Management District; Eric Smith, Virginia Polytechnic Bootstrap, resampling methods Institute and State University 23 Fixed-Width Confidence Bands for ROC Curves with 29 Survey Design for Evaluating the Role of International a Generalized False Positive Interval—◆Daniel Katz, Students in Domestic Engineering Graduate Programs— Johns Hopkins University Applied Physics Laboratory; ◆Anne Ryan, Virginia Polytechnic Institute and State Jacob Boon, Johns Hopkins University Applied Physics University; Stephanie U. Balko; Veronica Bobb, Virginia Laboratory; Michael Miller, Johns Hopkins University Polytechnic Institute and State University Applied Physics Laboratory; Austin DiOrio, Johns Hopkins University Applied Physics Laboratory

231 CC-Hall D 229 CC-L Street Bridge Contributed Oral Poster Presentations— Contributed Oral Poster Presentations— Contributed Contributed Section on Statistical Consulting SSC Chair(s): Lara Schmidt, RAND Corporation

Statistical Analysis of Text Experimental design 24 A Stylometric Analysis Method with Semiparametric 30 Testing for Co-Directional and Anti-Directional Interactions Bayesian Approach—◆Paramjit S. Gill, The University Using Union-Intersection and Intersection-Union ◆ of British Columbia Methods— Julia L. Sharp, Clemson University; Patrick D. Gerard, Clemson University

Statistical consulting 31 Testing Equal Protection of the Law: Unequal Quanta of Evidence in Drunken Driving Prosecutions in New Jersey—◆Ayako Kambara, Applied Statistical Consulting, LLC 32 A Student Perspective: My Learning Experience in a University Statistical Consulting Center—◆Whitney B. Miner, Grand Valley State University; Phyllis J. Curtiss, Grand Valley State University

Washington, DC 117 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

33 A Case Study of Fitting and Comparing Nonlinear Incomplete data analysis, imputation methods Parameters for Predicting Poultry Contamination— 39 NOCF! The future in Missing Data—◆Herbert Thijs, ◆Andy Mauromoustakos, University of Arkansas; Hasselt University Min Li, University of Arkansas

QC, operation research, risk assessment 40 Nonparametric Tolerance Interval Approach for 232 CC-Hall D Specifications—◆Meiyu Shen, FDA; Yi Tsong, FDA Contributed Oral Poster Presentations— Contributed Clinical trials, drug discovery WNAR 41 The Impact of Bioavailability on the Continual Reassessment Method—◆Jessica E. Pruszynski, Baylor University; Anna McGlothlin, Eli Lilly and Company; John Biometrics, bioinformatics, computational biology W. Seaman, II, Baylor University 34 Detecting Subclusters in Outliers by Cluster Analysis— Biometrics, bioinformatics, computational biology ◆Dongseok Choi, Oregon Health & Science University; Zhixin Kang, The University of North Carolina at Pembroke; 42 Visual Diagnostics for Pharmacokinetic Models— Carrie Nielson, Oregon Health & Science University; Eric ◆Xiaoyong Sun, Iowa State University; Dianne Cook, Orwoll, Oregon Health & Science University; George Tiao, Iowa State University The University of Chicago Applications and case studies 43 Guidelines for the Analysis of FDG-PET Imaging Biomarkers—◆Patricia English, Pfizer Inc.; David Raunig, 233 CC-Hall D Pfizer Inc.; Santos Carvajal-Gonzalez, Pfizer Inc.; Yanwei ■ Contributed Oral Poster Presentations: Zhang, Pfizer Inc. New Statistical Developments Advancing Biopharmaceutical Research—Contributed Longitudinal data, repeated measurements, and Biopharmaceutical Section, ENAR meta-analysis Chair(s): Yang Yang, FDA 44 Recurrent Events Data Analysis in Medical Device Trials— ◆Cathy Zeng, Medtronic, Inc. Social and behavioral science 35 Analyzing Quality-of-Life Data—◆Robert Norton, California Reliability and survival modeling, risk analysis State University, East Bay; Yan Yan Zhou, California State 45 A Comparison of Statistical Approaches for Cluster University, East Bay Randomized Trials with Survival Outcomes—◆Margaret R. Stedman, Brigham and Women’s Hospital; David Gagnon, Clinical trials, drug discovery Boston University School of Public Health; Robert Lew, Boston University; Elena Losina, Boston University; 36 Post-Randomization Subgroup: A Tale of Analysis in Early Daniel Solomon, Brigham and Women’s Hospital; Responders—◆Yue Shentu, Merck & Co., Inc. M. Alan Brookhart, Brigham and Women’s Hospital/ Harvard Medical School Applications and case studies 37 Rank-Based Adjustment of Baseline Imbalance in Clinical trials, drug discovery Assessing BOTOXÆ Dose-Dependent Response of 46 Biased Results from Single-Arm Phase II Cancer Clinical Reducing Urinary Urge Incontinence in a Phase II Trials: Simulations Based on a Large Clinical Trial—◆Hui Trial—◆Jihao Zhou, Allergan Pharmaceuticals, Inc.; Tang, Mayo Clinic; Nathan R. Foster, Mayo Clinic; Richard Thomas Lin, Allergan Pharmaceuticals, Inc.; Corneliar M. Goldberg, The University of North Carolina at Chapel Haag-Molkenteller, Allergan Pharmaceuticals, Inc.; Hill; Daniel Sargent, Mayo Clinic Catherine Thompson, Allergan Pharmaceuticals, Inc.; Grace Daniell, Allergan Pharmaceuticals, Inc.; Anand Patel, 47 Evaluation of the Randomized Placebo-Phase Design Allergan Pharmaceuticals, Inc.; Brenda Jenkins, Allergan for Clinical Trials—◆Stephanie L. Shook, University of Pharmaceuticals, Inc. Pittsburgh; Howard Rockette, University of Pittsburgh

Clinical trials, drug discovery Mathematical statistics, distribution theory, robust statistics 38 A Fixed Study Design with Conditional Serial Assessment 48 Zero-Modified Negative Binomial Distribution as a Robust of Co-Primary Endpoints: An Application to a Single-Arm Family for Modeling Count Data—◆Qian Dong, Merck & Pilot Oncology Trial—◆Jonathan Mahnken, The University Co., Inc.; Hongwei Wang, Merck & Co., Inc.; Arlene Swern, of Kansas Medical Center; Jo Wick, The University of Merck & Co., Inc.; Eric C. Kleerup, University of California, Kansas Medical Center; Byron J. Gajewski, The University Los Angeles of Kansas; Matthew S. Mayo, The University of Kansas Medical Center 118 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Incomplete data analysis, imputation methods Clinical trials, drug discovery 49 Comparison of Proportions of Composite Outcomes 61 Making Decisions in Bioequivalence Studies: A Statistical with Missing Values in their Components—◆Xianbin Li, Contribution—◆Arminda L. Siqueira, Universidade Federal FDA; Brian S. Caffo, Johns Hopkins Bloomberg School of de Minas Gerais; Daniela M. Braga, Agência Nacional de Public Health Saúde Suplementar - Ministério da Saúde; Paula R. Chellini, Centro de Pesquisa em Biotecnologia Semiparametric and nonparametric methods 62 Gender Differences in QTcF Based on Moxifloxacin Data—◆Moh-Jee C. Ng, FDA; Joanne Zhang, FDA; Lihan K. 50 A Semiparametric Survival Model—◆Ying Zhang, Merck Yan, The George Washington University; Qianyu Dang, FDA Research Laboratories

Clinical Trial Designs Bayesian statistics, hierarchical models 63 Sample Size Determination in Clinical Trials with Multiple 51 A Comparison Study of General Linear Mixed Model and Co-Primary Binary Endpoints—◆Takashi Sozu, Osaka Permutation Tests in Group-Randomized Trials Under Non- University; Tomoyuki Sugimoto, Osaka University Graduate Monday Normal Error Distributions—◆Dongyue Fu, Quintiles, Inc.; School of Medicine; Toshimitsu Hamasaki, Osaka University David M. Murray, The Ohio State University; Seok Wong, Graduate School of Medicine University of Memphis 64 A Modified Group Sequential Design on Three-Arm Noninferiority Trials with Binary Endpoints—◆Gang Li, Biometrics, bioinformatics, computational biology GlaxoSmithKline; Shan Gao, Techdata LLC 52 Design of Experiments for Genetic Network Identification—◆Theodore Allen, The Ohio State University; Cenny Taslim, The Ohio State University; Mario Lauria, The Clinical trials, drug discovery Telethon Institute of Genetics and Medicine 65 A Likelihood-Based Model Adequacy Test of the Four-Parameter Logistic Model for Data with No Replicate Response—◆Wijith P. Munasinghe, Clinical trials, drug discovery Kansas State University; Kurex Sidik, Pfizer Global 53 Optimal Treatment Allocation for a 2-Period, M Treatment Research & Development Clinical Trial with Fixed Subject Total—◆Theodore C. Lystig, Boehringer Ingelheim Pharmaceuticals, Inc. QC, operation research, risk assessment 66 Risk Assessment of Drug Product Content Uniformity Experimental design Release Failure: A Bayesian Approach—◆David J. 54 Efficacy with a Diamond Response Design—◆Charlie H. LeBlond, Abbott Laboratories Goldsmith, McMaster University Pharmacokinetics and pharmacodynamics Clinical trials, drug discovery 67 Two Methods of Estimating Kel and Half-Life, 55 Analysis of ITT Duration of Response—◆Ritwik Sinha, Pharmacokinetic Considerations, and Statistical Tools— Bristol-Myers Squibb Company; Tai-Tsang Chen, Bristol- ◆Peng Chai, MDS Pharma Services Myers Squibb Company; Chao Zhu, Bristol-Myers Squibb Company Clinical trials, drug discovery 56 Predicting Analysis Times in Event-Driven Clinical Trials 68 A Bayesian Approach for Tailored Therapy Strategy: Based on Blinded Data with Event-Reporting Lag— Hidden Markov Mixture ITP Model for Predicting Patient ◆Jianming Wang, Amgen, Inc.; Chunlei Ke, Amgen, Inc.; Response to Therapy—◆Wei Chen, University of Michigan; Qi Jiang, Amgen, Inc. Haoda Fu, Eli Lilly and Company 57 Estimation of Treatment Retention: The Peak-Trough Ratio—◆William J. Coar, Gilead Colorado, Inc.; Darrin Despain, Gilead Colorado, Inc.; Brian L. 69 Analysis of Recurrent Events Could Be Superior to the Wiens, Gilead Sciences, Inc. Time-to-First Event in Assessment of Drug Therapy in Patients with Arrhythmias—◆Hussein 58 What If the Data Were Not Missing?—◆K. F. Yee, Akros Al-Khalidi, STATKING Consulting, Inc. Pharma Inc. 59 Beta-Mapping and Beta-Regression for Changes of Ordinal-Rating Measures on Likert Scales: A Comparison Biometrics, bioinformatics, computational biology Among Multiple Treatment Groups—◆Kelly H. Zou, Pfizer 70 Power and Sample Size Planning as Function of Inc.; Martin O. Carlsson, Pfizer Inc. Correlation and Odds Ratio for Exact McNemar Test— John D.S. Hwang, B.R.S.I.; ◆James Lee, Daiichi Sankyo Pharma Development Biometrics, bioinformatics, computational biology 60 A Semiparametric Copula Method on Building Oncology Association Network with Multiple Pathways, Genotypes, and Phenotypes—Le Bao, University of Washington; Zhou Zhu, Pfizer Inc.; ◆Jingjing Ye, Pfizer Inc. Washington, DC 119 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Computational statistics, numerical methods, simulation Invited Sessions 4:00 p.m.–5:50 p.m. 71 Using STATLIA for Bioassay Evaluation in Regulatory Environment—◆Lev Sirota, FDA; Boris G. Zaslavsky, FDA 234 CC-Ballroom A-B ✪ ASA President’s Invited Address—Invited Clinical trials, drug discovery ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical 72 A Multi-Stage, Model-Free Test of Synergy in Association, International Indian Statistical Association Drug Combinations—◆Colleen Kelly, Exponent, Inc.; Organizer(s): Sally C. Morton, RTI International Ping Feng, National Base for Drug Clinical Trials; Toana Chair(s): Sally C. Morton, RTI International Kawashima, Fred Hutchinson Cancer Research Center; Anja Wilmes, Victoria University of Wellington; John Miller, Victoria University of Wellington 4:05 p.m. Measurement Matters: Why Good Statistics Are Important to Understanding the Well-Being of American Families—◆Rebecca M. Blank, Biometrics, bioinformatics, computational biology Under Secretary of Commerce for Economic Affairs, 73 Using Hierarchical Group Filters in High-Throughput U.S. Department of Commerce Analysis to Improve the True Positive Discovery Rate— 5:30 p.m. Floor Discussion ◆Shesh N. Rai, University of Louisville; Christopher N. Barnes, University of Louisville

Clinical Trial Designs 235 CC-Ballroom A-B 74 R Package for Practitioners: ‘Robust Priors in Clinical IMS Presidential Address—Invited Trials’—◆Jairo A. Fuquene, University of Puerto Rico IMS Organizer(s): Michael Kosorok, The University of North Carolina at Chapel Hill Clinical trials, drug discovery Chair(s): Jianqing Fan, Princeton University 75 The Relative Efficiency of Volumetric Neuroimaging Measures as Outcomes in Clinical Trials—◆Steven D. Edland, University of California, San Diego 8:00 p.m. Presentation of Awards—◆Nanny Wermuth, Chalmers/Gothenburg University 76 Analyses of ‘Favorite Data Sets from Drug Research’ by Undergraduate Students—◆Sarah Downing, 8:30 p.m. On the Development of Insight: Some Examples John Carroll University; Thomas H. Short, John in the Statistical Sciences—◆Nanny Wermuth, Carroll University Chalmers/Gothenburg University 9:15 p.m. Floor Discussion Bayesian statistics, hierarchical models 77 A Bayesian Approach to Dose-Response Assessment and Synergy—◆Violeta G. Hennessey, The University of Texas M.D. Anderson Cancer Center

Clinical trials, drug discovery 78 Experiences in Outsourcing—◆Jennifer E. Hamer-Maansson, AstraZeneca Pharmaceuticals 79 Surrogate Biomarkers in Prediction of Treatment Effect of Progression-Free Survival and Overall Survival in Non- Small Cell Lung Cancer: A Case Study—◆Linda Sun, Merck & Co., Inc.; Cong Chen, Merck Research Laboratories

Biometrics, bioinformatics, computational biology 80 Impact of Covariates on Feature Selection in Microarray Analysis—◆Elizabeth McClellan, Southern Methodist University; Monnie McGee, Southern Methodist University; Richard Scheuermann, Pathology U.T. Southwestern Medical Center

120 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

tuesday, August 4

Tours 7:00 a.m.–8:30 a.m. CC-2nd Floor Overlook West Friends and Alumni of Brigham Young University Open House Breakfast TR09 - The Kennedys: A Georgetown Walking Tour 9:00 a.m.–1:00 p.m. Organizer(s): Del Scott, Department of Statistics

TR10 - The Neighborhoods of Washington, DC: Not Just 7:00 a.m.–10:00 a.m. CC-302 the Nation’s Capital City Section on Physical and Engineering Sciences Executive 9:00 a.m.–1:00 p.m. Committee Meeting (closed) Chair(s): Thomas Loughin, Simon Fraser University Surrey; Tom Loughin, Simon Fraser University Surrey TR11 - Welcome to Washington Tour 2:00 p.m.–6:00 p.m. 7:00 a.m.–10:00 a.m. CC-301 Editorial Board: Statistics in Biopharmaceutical Research (closed) Committee/Business Meetings & Chair(s): Joseph Heyse, Merck Research Laboratories Other Activities 7:00 a.m.–6:00 p.m. CC-154A Speaker Management Room 7:00 a.m.–8:30 a.m. RH-Meeting Room 6 Membership Surveys Committee Annual JSM Meeting 7:00 a.m.–10:00 p.m. CC-East Registration Tuesday Chair(s): Tim Keyes, General Electric Cyber Center

7:00 a.m.–8:30 a.m. CC-2nd Floor Overlook East 7:30 a.m.–8:30 a.m. RH-Meeting Room 7 Journal Business Meeting Statistics Surveys Online Journal Chair(s): Amy Prisco, Wiley Chair(s): Wendy Martinez, U.S. Department of Defense

7:00 a.m.–8:30 a.m. CC-205 7:30 a.m.–10:00 a.m. RH-Meeting Room 5 ASA Committee on Minorities in Statistics Business COC Annual Business Meeting Meeting (Closed) Chair(s): John Hall, Mathematica Policy Research, Inc. Chair(s): Brian Millen, Eli Lilly and Company 7:30 a.m.–4:30 p.m. CC-East Registration 7:00 a.m.–8:30 a.m. RH-Meeting Room 17 JSM Main Registration Committee on Professional Ethics Chair(s): Thomas Petska, IRS 7:30 a.m.–4:30 p.m. CC-East Registration ASA Membership/Special Assistance/Press Desk 7:00 a.m.–8:30 a.m. RH-Meeting Room 2 Sequential Analysis Journal: Editorial Board Breakfast 8:00 a.m.–12:00 p.m. RH-Renaissance Ballroom East Meeting (closed) Committee of Presidents of Statistical Societies (closed) Organizer(s): Nitis Mukhopadhyay, University of Connecticut Organizer(s): Jessica M. Utts, University of California, Irvine

7:00 a.m.–8:30 a.m. RH-Meeting Room 4 8:00 a.m.–5:00 p.m. Off Property Business and Economic Statistics Section Executive Meeting Within a Meeting Statistics Workshop for K–12 Committee Meeting (closed) Math and Science Teachers: Visit to the U.S. Census Chair(s): Stuart Scott, Bureau of Labor Statistics Bureau and JSM (closed) Chair(s): Martha Aliaga, ASA 7:00 a.m.–8:30 a.m. CC-303 Technometrics Editorial Board Meeting (closed) 8:00 a.m.–6:00 p.m. CC-Hall D Chair(s): David M. Steinberg, Tel Aviv University Career Placement Service

8:00 a.m.–6:00 p.m. CC-Hall D Exhibitor Lounge

Washington, DC 121 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

8:30 a.m.–10:00 a.m. RH-Meeting Room 3 1:30 p.m.–3:30 p.m. CC-302 JASA Business Meeting (closed) COC Traveling Course Meeting Chair(s): David Banks, Duke University Chair(s): Glenn White, Ernst & Young, LLP

9:00 a.m.–5:30 p.m. CC-East Registration 2:00 p.m.–3:00 p.m. CC-Ballroom A-B ASA Marketplace ASA Presidential Address and Awards Session Rehearsal (closed) 9:00 a.m.–6:00 p.m. CC-Hall D EXPO 2009 3:00 p.m.–4:30 p.m. CC-303 George Mason University Alumni Reception 9:00 a.m.–6:00 p.m. CC-Hall D Organizer(s): WilliamCANCELLED F. Rosenberger, George Mason University American Statistical Association Booth #101 4:00 p.m.–5:30 p.m. RH-Meeting Room 3 11:00 a.m.–12:30 p.m. RH-Meeting Room 3 Improving Student Performance with Mastery-Based JASA Reviews Editors Meeting (closed) Statistics Software Chair(s): Dalene K. Stangl, Duke University Organizer(s): Brittany Walker, Hawkes Learning Systems

12:30 p.m.–2:00 p.m. CC-210 4:00 p.m.–5:30 p.m. CC-303 Deming Luncheon Committee on Applied Statisticians Social Mixer Chair(s): Nicholas I. Fisher, University of Sydney Chair(s): Lei Zhu, GlaxoSmithKline

12:30 p.m.–1:30 p.m. RH-Meeting Room 2 4:00 p.m.–6:00 p.m. RH-Renaissance Ballroom East IMS Business Meeting COC Workshop and Reception Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael Chair(s): John Hall, Mathematica Policy Research, Inc. Steele, IMS President; Nanny Wermuth, IMS President 4:30 p.m.–6:00 p.m. CC-301 12:30 p.m.–2:00 p.m. RH-Meeting Room 4 Biometrics Editorial Board Meeting (closed) JABES Management Committee Business Meeting Organizer(s): Marie Davidian, North Carolina State University Chair(s): Jean Opsomer, Colorado State University 5:00 p.m.–6:30 p.m. CC-302 12:30 p.m.–2:00 p.m. RH-Meeting Room 6 Discussion Group SBSS Business Meeting Organizer(s): Susan Ellenberg, University of Pennsylvania Chair(s): Joseph G. Ibrahim, The University of North Carolina at Chapel Hill 5:00 p.m.–7:00 p.m. CC-102A North Carolina State University, Department of Statistics 12:30 p.m.–2:00 p.m. RH-Meeting Room 3 Organizer(s): Pam Arroway, North Carolina State University JASA Associate Editors Meeting Chair(s): David Banks, Duke University 5:00 p.m.–8:00 p.m. RH-Meeting Room 2 IMS Council II Meeting 12:30 p.m.–2:00 p.m. RH-Meeting Room 17 Organizer(s): Elyse Gustafson, IMS Executive Director; J. Michael JCGS Management Committee (closed) Steele, IMS President; Nanny Wermuth, IMS President Chair(s): JLynn Palmer, The University of Texas M.D. Anderson Cancer Center 5:30 p.m.–6:30 p.m. CC-3rd Floor East Ear Caucus for Women in Statistics Business Meeting and 12:30 p.m.–2:30 p.m. RH-Meeting Room 5 Reception TAS Editors’ Lunch Organizer(s): Marcia A. Ciol, University of Washington Chair(s): Janet Wallace, The American Statistician; John Stufken, The University of Georgia 5:30 p.m.–6:30 p.m. RH-Meeting Room 4 Section on Statistics and Marketing Business Meeting 12:30 p.m.–4:30 p.m. CC-2nd Floor Overlook West Chair(s): Olivier Toubia, Columbia Business School ENAR RAB/RECOM Lunch Meeting (by invitation only) Organizer(s): Kathy Hoskins, ENAR 5:30 p.m.–6:30 p.m. RH-Meeting Room 5 Business and Economic Statistics Section Business 1:00 p.m.–2:30 p.m. CC-303 Meeting Current Index to Statistics Management Committee Chair(s): Stuart Scott, Bureau of Labor Statistics Chair(s): James E. Gentle, George Mason University

122 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

5:30 p.m.–7:00 p.m. RH-Meeting Room 7 6:00 p.m.–8:00 p.m. CC-205 Section on Nonparametric Statistics Business Meeting Stanford University Statistics Department Alumni Reunion Chair(s): Doug Wolfe, The Ohio State University Organizer(s): James Gareth, University of Southern California

5:30 p.m.–7:00 p.m. CC-157 6:00 p.m.–8:30 p.m. CC-2nd Floor Overlook West Statistics in Epidemiology Mixer ASA Committee on Minorities in Statistics Reception Chair(s): Philip Rosenberg, National Cancer Insitute; Chair(s): Brian Millen, Eli Lilly and Company Philip Rosenberg, National Cancer Institute 6:30 p.m.–7:30 p.m. CC-Ballroom A-B 5:30 p.m.–7:00 p.m. RH-Meeting Room 6 2009 New Fellows Reception (by invitation only) Section on Statistical Consulting Business Meeting Chair(s): John H. Thompson, National Opinion Research Center Chair(s): Bruce A. Craig, Purdue University 6:30 p.m.–8:00 p.m. RH-Meeting Room 5 5:30 p.m.–7:00 p.m. CC-207B Joint Reception of Business and Economic Statistics Biopharmaceutical Section Annual Business Meeting Section and Section on Statistics and Marketing and Mixer Chair(s): Stuart Scott, Bureau of Labor Statistics; Olivier Toubia, Chair(s): Anna B. Nevius, FDA Columbia University

5:30 p.m.–7:30 p.m. CC-209A 6:30 p.m.–8:00 p.m. CC-303 University of Michigan Biostatistics/Statistics Joint The George Washington University Department of Alumni Reception Statistics Alumni Reception Organizer(s): Roderick Little, University of Michigan; Vijay Nair, Organizer(s): Reza Modarres, The George Washington University University of Michigan 7:00 p.m.–7:30 p.m. CC-Ballroom A-B 5:30 p.m.–7:30 p.m. CC-149A 2009 ASA New Fellows Group Picture (closed) Joint Q&P/SPES Business Meeting and Mixer Tuesday Chair(s): Thomas Loughin, Simon Fraser University Surrey; 9:30 p.m.–12:00 a.m. RH-Congressional Ballroom A & B Tom Loughin, Simon Fraser University Surrey JSM Informal Dance Party

5:30 p.m.–7:30 p.m. Off Property Penn State Alumni Dinner Chair(s): Bruce Lindsay, Penn State University Continuing Education (Fee Events) 5:30 p.m.–7:30 p.m. Off Property-1640 Rhode Island Ave. CE_22C Committee on Gay and Lesbian Concerns Reception with Absolute Risk Prediction Guest Speaker 8:00 a.m.–12:00 p.m. RH-Renaissance Ballroom West A Organizer(s): Barry Johnson, Bureau of Labor Statistics ASA, Biometrics Section Instructor(s): Mitchell H. Gail, National Cancer Institute; 5:30 p.m.–7:30 p.m. CC-160 Ruth Pfeiffer, National Cancer Institute Section on Government Statistics Business Meeting Chair(s): Robert Lussier, Statistics Canada CE_23C State Space Time Series Analysis in Practice 5:30 p.m.–8:30 p.m. CC-206 8:30 a.m.–5:00 p.m. RH-Meeting Rooms 12, 13, 14 SBSS Mixer ASA, Business and Economic Statistics Section Chair(s): Joseph G. Ibrahim, The University of North Carolina at Chapel Hill Instructor(s): Siem Jan Koopman, Vrije Universiteit Amsterdam

6:00 p.m.–8:00 p.m. CC-2nd Floor Overlook East CE_24C Wisconsin Reception Statistical Meta-Analysis: Methods and Applications Organizer(s): Kam Tsui, Department of Statistics 8:30 a.m.–5:00 p.m. RH-Meeting Room 16 ASA 6:00 p.m.–8:00 p.m. RH-Meeting Room 17 Instructor(s): Bimal Sinha, University of Maryland, Baltimore Rice University Department of Statistics County; Guido Knapp, Dortmund University of Technology Organizer(s): Katherine Ensor, Department of Statistics

Washington, DC 123 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

CE_25C CE_27C Monte Carlo and Bayesian Computation with R Applied Bayesian Nonparametric Mixture Modeling 8:30 a.m.–5:00 p.m. RH-Meeting Rooms 8 & 9 8:30 a.m.–5:00 p.m. RH-Meeting Rooms 10 & 11 ASA, Section on Physical and Engineering Sciences ASA, Section on Bayesian Statistical Science Instructor(s): Maria Rizzo, Bowling Green State University; James Instructor(s): Athanasios Kottas, University of California, Santa Cruz; Albert, Bowling Green State University Abel Rodriguez, University of California, Santa Cruz

CE_26C CE_28C Comprehensive Data Analysis Using Interactive Statistical Analysis of Clinical Trials: Theory and Applications Graphics 8:30 a.m.–5:00 p.m. RH-Renaissance Ballroom West B 8:30 a.m.–5:00 p.m. RH-Meeting Room 15 ASA, Biopharmaceutical Section ASA, Section on Statistical Graphics Instructor(s): Devan V. Mehrotra, Merck Research Laboratories; Instructor(s): Martin Theus, Telefonica o2-Germany GmbH & Co. Alexei A. Dmitrienko, Eli Lilly and Company; Keaven Anderson, OHG; Simon Urbanek, AT&T Labs Merck & Co., Inc.

CE_29C Bootstrap for Complex Surveys 1:00 p.m.–5:00 p.m. RH-Renaissance Ballroom West A ASA, Section on Survey Research Methods Instructor(s): Stanislav Kolenikov, University of Missouri-Columbia

JSM Informal Dance Party Tuesday, August 4 9:30 p.m. – Midnight Renaissance Washington, DC, Hotel Congressional Ballrooms A and B

124 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Roundtables with Coffee 239 CC-Ballroom South Prefunction Section on Statistical Education Roundtables 7:00 a.m.–8:15 a.m. with Coffee (fee event) Section on Statistical Education 236 CC-Ballroom South Prefunction Organizer(s): Tisha L. Hooks, Winona State University Section for Statistical Programmers and Analysts Roundtables with Coffee (fee event TL07 The Basics of the Survey of Attitudes Toward Statistics— Section for Statistical Programmers and Analysts ◆Marjorie E. Bond, Monmouth College Organizer(s): Chengying Wu, sanofi-aventis

TL01 How to Make Programming Fun—◆Colin (Lin) Chen, Fannie Mae 240 CC-Ballroom South Prefunction Section on Statistics and the Environment TL02 Reproducible Research—◆John D. Cook, The University of Texas M.D. Anderson Cancer Center Roundtable with Coffee (fee event) TL03 It All Starts with Statistical Programming—◆Nancy Wang, Section on Statistics and the Environment MDS Pharma Services; Peng Chai, MDS Pharma Services Organizer(s): Petrutza Caragea, Iowa State University TL04 Issues Around Repeated and Random Statements and Considering the Time as Class versus Continuous TL08 If Scientists Agreed to Collect Data However We Wanted, Variable—◆Radhi F. Abdulnabi, Ovation Would We Know What to Tell Them?—◆Mark S. Kaiser, Pharmaceuticals, Inc Iowa State University

237 CC-Ballroom South Prefunction Special Presentation Section on Government Statistics Roundtable Tuesday with Coffee (fee event) 8:30 a.m.–10:20 a.m. Section on Government Statistics Organizer(s): Lisa Blumerman, U.S. Census Bureau 241 CC-202A Introductory Overview Lecture: Designing TL05 The Interaction of the Statistician with the Subject Matter Longitudinal Studies—Other Expert: Statistics as a Chameleon Discipline—◆Margaret ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical D. Carroll, National Center for Health Statistics Association, International Indian Statistical Association Organizer(s): Wendy Martinez, U.S. Department of Defense Chair(s): Radu Herbei, The Ohio State University 238 CC-Ballroom South Prefunction 8:35 a.m. How Many Subjects and How Many Section on Health Policy Statistics Roundtables Measurements? The Design of Longitudinal with Coffee (fee event) Studies—◆Donna L. Spiegelman, Harvard School Section on Health Policy Statistics of Public Health Organizer(s): Susan Paddock, RAND Corporation 10:00 a.m. Floor Discussion

TL06 Predictive Modeling of Health Care Outcomes for Underwriting and Disease Management: Industry’s Lessons, Trends, Comparative Studies—◆Ognian K. 242 CC-102B Asparouhov, MEDAI, Inc. ASA College Stat Bowl I—Other ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical Association, International Indian Statistical Association Organizer(s): Stephanie Cano, The University of Texas at San Antonio Chair(s): Stephanie Cano, The University of Texas at San Antonio

Washington, DC 125 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Invited Sessions 245 CC-153 ■ ✪ Advanced Reliability Methods with 8:30 a.m.–10:20 a.m. Applications—Invited Section on Physical and Engineering Sciences, Section on Quality 243 CC-206 and Productivity ✪ New Development in Empirical Likelihood and Organizer(s): I-Li Lu, The Boeing Company Its Application—Invited Chair(s): Ranjan Paul, The Boeing Company Section on Nonparametric Statistics Organizer(s): Yichuan Zhao, Georgia State University 8:35 a.m. Using Accelerated Life Tests Results to Predict Chair(s): Song Yang, National Institutes of Health Product Field Reliability—◆William Q. Meeker, Iowa State University; Luis A. Escobar, Louisiana State University; Yili Hong, Iowa State University 8:35 a.m. Semiparametric Hybrid Empirical Likelihood Inference for Two-Sample Studies with Censored 9:00 a.m. The Development of Advanced Reliability Methods Data—◆Hua Liang, University of Rochester for Aircraft Maintenance Optimization Process— ◆I-Li Lu, The Boeing Company; Anbessie A. 9:00 a.m. Full Likelihood Inferences in the Cox Model— Yitbarek, The Boeing Company; Ranjan Paul, The ◆Jian-Jian Ren, University of Central Florida Boeing Company; Elizabeth A. Whalen, The Boeing 9:25 a.m. Empirical Likelihood Inference for Regression Company; Shuying Zhu, The Boeing Company Model of Mean Quality-Adjusted Lifetime with 9:25 a.m. Reliability in Supercomputing: A Million Processors Censored Data—◆Hongkun Wang, University of Cooperating to Solve One Problem—◆George Virginia; Yichuan Zhao, Georgia State University Ostrouchov, Oak Ridge National Laboratory; Thomas 9:50 a.m. Empirical Likelihood Confidence Intervals for the J. Naughton, III, Oak Ridge National Laboratory; Ratio and Difference of Two Hazard Functions— Stephen L. Scott, Oak Ridge National Laboratory ◆Yichuan Zhao, Georgia State University; Meng 9:50 a.m. Detection of Nuclear Material Entering Ports: An Zhao, Georgia State University Analytic Framework for Data and Policy Analysis— 10:15 a.m. Floor Discussion ◆Siddhartha Dalal, RAND Corporation 10:15 a.m. Floor Discussion

244 CC-160 ■ ✪ Macroeconomic Forecasting—Invited 246 CC-159B JBES-Journal of Business & Economic Statistics, Section on ■ ✪ New Developments in Survey Sampling— Risk Analysis Invited Organizer(s): Serena Ng, Columbia University International Indian Statistical Association, Section on Survey Chair(s): Serena Ng, Columbia University Research Methods, Section on Bayesian Statistical Science, Section on Government Statistics 8:35 a.m. Macroeconomic Forecasting—◆David Organizer(s): Gauri S. Datta, The University of Georgia Reifschneider, Board of Governors Chair(s): William R. Bell, U.S. Census Bureau 9:00 a.m. The Production of ECB Staff Macroeconomic Projections—◆Demosthenes Ioannou, European 8:35 a.m. Cross-Validation in Survey Estimation: Central Bank Model Selection and Variance Estimation— 9:25 a.m. Forecasting Global Economic Conditions at ◆Jean Opsomer, Colorado State University the IMF—◆Thomas F. Helbling, International 9:00 a.m. Bayesian Benchmarking with Applications to Small Monetary Fund Area Estimation—◆Gauri S. Datta, The University of 9:50 a.m. Economic Projections at the Bank of Canada— Georgia; Malay Ghosh, University of Florida; Rebecca ◆Stephen Murchison, Bank of Canada Steorts, University of Florida; Jerry J. Maples, U.S. Census Bureau 10:15 a.m. Floor Discussion 9:25 a.m. A Bayesian Adjustment for a Selection Bias in Genetics—◆Balgobin Nandram, Medical College of Georgia 9:50 a.m. New Developments in Model-Based Small Area Estimation—◆Danny Pfeffermann, Hebrew University/University of Southampton 10:15 a.m. Floor Discussion

126 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

247 CC-143A 249 CC-202B Advances in Spatial and Spatio-Temporal New Frontiers in Survival Analysis and Modeling—Invited Clinical Trials—Invited Section on Statistical Computing, Section on Bayesian Statistical WNAR, Section on Bayesian Statistical Science, Science, Biometrics Section, Section on Statistics and the Biopharmaceutical Section Environment, Social Statistics Section, Interface Foundation Organizer(s): Gang Li, University of California, Los Angeles of North America Chair(s): Ying Lu, University of California, San Francisco Organizer(s): Jonathan R. Stroud, The George Washington University 8:35 a.m. Gamma Frailty Transformation Models for Chair(s): Cari Kaufman, University of California, Berkeley Multivariate Survival Times—◆Joseph G. Ibrahim, The University of North Carolina at Chapel Hill; 8:35 a.m. Multilevel Adaptive Sampling for Inverse Donglin Zeng, The University of North Carolina at Problems—◆Dave Higdon, Los Alamos Chapel Hill; Qingxia Chen, Vanderbilt University National Laboratory; J. David Moulton, 9:00 a.m. Joint Models for Longitudinal and Survival Data— Los Alamos National Laboratory ◆Jeremy Taylor, University of Michigan 9:00 a.m. Conditional Simulation of Spatial-Temporal Random 9:25 a.m. Causal Inference for Randomized Clinical Trials Fields—◆Michael Stein, The University of Chicago with a Survival Outcome and All-or-None Treatment 9:25 a.m. A Class of Nonlinear Spatio-Temporal Dynamic Noncompliance—◆Gang Li, University of California, Models—◆Christopher Wikle, University of Los Angeles Missouri-Columbia 9:50 a.m. Disc: Ian McKeague, Columbia University 9:50 a.m. The Other World of Large Spatial Data Sets in the 10:10 a.m. Floor Discussion Geosciences—◆Douglas Nychka, National Center for Atmospheric Research 10:15 a.m. Floor Discussion

250 CC-209A Tuesday High-Dimensional Genetic Data—Invited IMS 248 CC-150A Organizer(s): Debashis Paul, University of California, Davis ■ ✪ Recent Advances in Small-Area Statistics— Chair(s): Debashis Paul, University of California, Davis Invited Section on Survey Research Methods, Social Statistics Section, 8:35 a.m. Regularized Multivariate Regression for Identifying Section on Government Statistics Master Predictors—◆Jie Peng, University of Organizer(s): Ansu Chatterjee, The University of Minnesota California, Davis; Pei Wang, Fred Hutchinson Cancer Chair(s): Parthasarathi Lahiri, University of Maryland Research Center; Ji Zhu, University of Michigan; Jonathan Pollack, Stanford University 8:35 a.m. Model and Variable Selection in Hierarchical Small 9:00 a.m. Prediction of Patient Outcomes Based on High- Area Models—◆Michael D. Larsen, Iowa State Throughput Genetic Data Using Supervised University; Lu Lu, Iowa State University Principal Components—◆Eric Bair, The University 9:00 a.m. Small Area Estimation Under Fay-Herriot Models of North Carolina at Chapel Hill with Nonparametric Estimation of Error Variances— 9:25 a.m. Estimation Methods for Multivariate Linear Time ◆Domingo Morales, University Miguel Hernández Series—◆Prabir Burman, University of California, de Elche; Wenceslao González-Manteiga, University Davis; Metoyer N. Candace, Pacific Northwest of Santiago de Compostela; Isabel Molina, University National Laboratory Carlos III de Madrid María J. Lombardía, University ; 9:50 a.m. Network-Based Prediction Model for Genomics of Santiago de Compostela Laureano Santamaría, ; Data Analysis—◆Pei Wang, Fred Hutchinson Cancer University Miguel Hernández de Elche Research Center; Ying Huang, Fred Hutchinson 9:25 a.m. Extended Small Area Models for Analysis of Cancer Research Center ◆Snigdhansu Nonlinear Effects and Extremes— 10:15 a.m. Floor Discussion Chatterjee, The University of Minnesota 9:50 a.m. Small Area Estimation for Population Counts in the German Census 2011—◆Ralf T. Münnich, University of Trier; Jan P. Burgard, University of Trier; Martin Vogt, University of Trier 10:15 a.m. Floor Discussion

Washington, DC 127 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

251 CC-207A Topic-Contributed Sessions IMS Medallion Lecture IV—Invited IMS 8:30 a.m.–10:20 a.m. Organizer(s): Xiaotong Shen, The University of Minnesota Chair(s): Galin L. Jones, The University of Minnesota 254 CC-204C Functional and Dynamic Data Analysis to 8:35 a.m. Markov Chain Monte Carlo in Theoretical Computer Biomedical Research—Topic-Contributed Science—◆Alistair Sinclair, University of Biometrics Section California, Berkeley Organizer(s): Momiao Xiong, The University of Texas Health Science 10:00 a.m. Floor Discussion Center at Houston Chair(s): Peihua Qiu, The University of Minnesota

8:35 a.m. Functional Maps of Cortico-Cortical Beta- Invited Panels 8:30 a.m.–10:20 a.m. Frequency Coherence in a Macaque Monkey Performing a Visual Working Memory Task—◆Mark C. Greenwood, Montana State University; Olga 252 CC-101 Vsevolozhskaya, Montana State University; Rodrigo ✪ Adaptive Design: Where Are We Now?— F. Salazar, Montana State University; Charlie M. Invited Gray, Montana State University Biopharmaceutical Section, Biometrics Section 8:55 a.m. Functional Structural Equation Models for Organizer(s): Sue-Jane Wang, FDA Deciphering the Path from Genomic Information to Chair(s): Sue-Jane Wang, FDA Phenotypic Variation—◆Li Luo, The University of Texas School of Public Health; Momiao Xiong, The University of Texas Health Science Center at Houston Panelists: ◆Frank Bretz, Norvartis, Switzerland 9:15 a.m. Functional Mixture Regression—◆Fang Yao, ◆Robert Hemmings, Medicines and Healthcare University of Toronto; Yuejiao Fu, York University; Products Regulatory Agency Thomas C.M. Lee, Chinese University of Hong Kong/ ◆H.M. James Hung, FDA Colorado State University ◆Armin Koch, Federal Institute for Drugs and 9:35 a.m. Disc: Sheng Luo, The University of Texas at Houston Medical Devices 9:55 a.m. Disc: Hao Xiong, University of California, ◆Chris Jennison, University of Bath San Francisco ◆Robert O’Neill, FDA 10:15 a.m. Floor Discussion ◆Jerry Schindler, Merck Research Laboratories ◆Robert Temple, FDA 10:15 a.m. Floor Discussion 255 CC-144B ■ Statistical Methods in Census Data Capture— Topic-Contributed 253 CC-157 Section on Government Statistics Statistics and the Media: Getting the Questions Organizer(s): Fred Highland, Lockheed Martin and Answers Right—Invited Chair(s): Dick Taylor, Evolver, Inc. Scientific and Public Affairs Advisory Committee, Social Statistics Section, Social Statistics Section 8:35 a.m. A Statistical Basis for Capacity Planning Risk Organizer(s): Rosanne Desmone, ASA Analysis—◆Fred Highland, Lockheed Martin Chair(s): Rosanne Desmone, ASA 8:55 a.m. Truthing Production Data Capture—◆Brad Paxton, ADI, LLC; Steven P. Spiwak, ADI, LLC; Douglass Huang, ADI, LLC Panelists: ◆Sharon Begley, Newsweek 9:15 a.m. Using Association Analysis to Enhance Control ◆Carl Bialek, Wall Street Journal Chart Applications and Methods—◆Thomas ◆Tom Siegfried, Science News George, Evolver, Inc.; Cathe Reeser, Lockheed Martin ◆Keith Winstein, Wall Street Journal 9:35 a.m. Statistical Synthetic Data Generation for Census 10:15 a.m. Floor Discussion Applications—◆John W. Dawson, ExactData, LLC

128 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:55 a.m. Use of Record Linkage Techniques to Improve 9:35 a.m. Log-Linear Modeling of Health Services Use in a Data Capture Rates—◆Mario Hendricks, Lockheed Sample Survey—◆John S. Preisser, The University Martin; David Bonatz, Lockheed Martin; Andrew of North Carolina at Chapel Hill; Thomas A. Arcury, Graves, Lockheed Martin Wake Forest University 10:15 a.m. Floor Discussion 9:55 a.m. Disc: G. Gordon Brown, RTI International 10:15 a.m. Floor Discussion

256 CC-204A ■ Design and Analysis of Stratified Clinical 258 CC-144C Trials—Topic-Contributed ■ ✪ Redesign of the National Survey on Drug Biopharmaceutical Section Use and Health: Balancing Data Needs, Costs, Organizer(s): Byron Jones, Pfizer Inc. and Methodological Considerations— Chair(s): Neal Thomas, Pfizer Inc. Topic-Contributed Section on Survey Research Methods, Section on 8:35 a.m. Stratification in Design vs. Stratification in Government Statistics Analysis—◆Byron Jones, Pfizer Inc.; Neal Thomas, Organizer(s): Jonaki Bose, Substance Abuse & Mental Health Pfizer Inc. Services Administration 8:55 a.m. Reporting the Proportion of Subjects with an Chair(s): Joe Gfroerer, Substance Abuse & Mental Health Adverse Event from Multiple Studies—◆Christy Services Administration Chuang-Stein, Pfizer Inc.; Mohan Beltangady, Pfizer Inc. 8:35 a.m. A Model-Based Method for Estimating Serious 9:15 a.m. The Use of Regression Models in Adjustment Mental Illness Using Household Interview Data of Treatment Assignment—◆Valerii V. Fedorov, Combined with Clinical Interviews—Lisa Colpe, GlaxoSmithKline Substance Abuse & Mental Health Services Tuesday 9:35 a.m. Stratification Usually Solves the Wrong Problem— Administration; ◆Jeremy Aldworth, RTI ◆Thomas Permutt, FDA International 9:55 a.m. Disc: William F. Rosenberger, 8:55 a.m. What Is ‘Misuse’ of Prescription Drugs, and How Do George Mason University We Measure It?—◆James Colliver, Substance Abuse & Mental Health Services Administration 10:15 a.m. Floor Discussion 9:15 a.m. Searching for a Gold Standard: Comparisons of NSDUH Data with External Sources to Assess Coverage and Validity—◆Jonaki Bose, Substance Abuse & Mental Health Services Administration; Joe 257 CC-102A Gfroerer, Substance Abuse & Mental Health Services ■ Using SUDAAN for Analysis of Epidemiologic Administration; Deborah Trunzo, Substance Abuse & Data—Topic-Contributed Mental Health Services Administration Section on Statistics in Epidemiology, Section on Survey 9:35 a.m. Evaluating the reliability of NSDUH data on drug Research Methods use, mental health and demographics—◆Joel Organizer(s): Angela Pitts, RTI International Kennet, Substance Abuse & Mental Health Services Chair(s): Rick Williams, RTI International Administration; Joe Gfroerer, Substance Abuse & Mental Health Services Administration

8:35 a.m. Using Survey Data to Investigate Changes Over 9:55 a.m. Disc: Art Hughes, Substance Abuse & Mental Health Time in Health Indicators—◆Donna J. Brogan, Services Administration Emory University 10:15 a.m. Floor Discussion 8:55 a.m. Weighting Methods for Population-Based Case-Control Study with Complex Sampling— ◆Yan Li, National Cancer Institute; Barry I. Graubard, National Cancer Institute; Ralph DiGaetano, Westat, Inc. 9:15 a.m. Using Projection Splines to Explore Racial Differences in Gestational Age Distribution Among Very Low-Risk Women—◆Nedra Whitehead, RTI International; Jun Liu, PPD, Inc.; Lei Li, RTI International; Jason Hsia, CDC

Washington, DC 129 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

259 CC-209B 9:55 a.m. Post-Randomization Interaction Analyses in Clinical ◆ ■ Trials with Standard Regression— Rongmei Student Paper Competition: Bayesian Zhang, University of Pennsylvania; Jennifer Faerber, functional data analysis, model selection/ University of Pennsylvania; Thomas Ten Have, averaging, and prediction—Topic-Contributed University of Pennsylvania Section on Bayesian Statistical Science, International Indian 10:15 a.m. Floor Discussion Statistical Association Organizer(s): Michael J. Daniels, University of Florida Chair(s): Ming-Hui Chen, University of Connecticut 261 CC-143C 8:35 a.m. Stochastic Functional Data Analysis: A Bayesian Benchmarking and Reconciliation— Perspective—◆Bin Zhu, University of Michigan; Topic-Contributed Peter X.K. Song, University of Michigan; Jeremy Business and Economic Statistics Section, Social Statistics Section Taylor, University of Michigan Organizer(s): Tucker S. McElroy, U.S. Census Bureau 9:15 a.m. Bayesian Model Averaging for Clustered Chair(s): Dominique Ladiray, Insee Data: Imputing Missing Daily Air Pollution Concentrations—◆Howard Chang, Johns Hopkins University; Francesca Dominici, Johns Hopkins 8:35 a.m. Illustration and Convergence Property of the University; Roger D. Peng, Johns Hopkins Bloomberg Nonparametric Iterative Smoothing Method for School of Public Health Benchmarking and Temporal Distribution—◆Benoit Quenneville, Statistics Canada; Susie Fortier, 9:35 a.m. The Role of Efron’s Statistical Curvature in Bayesian Statistics Canada; Christian Gagné, Statistics Canada Model Selection—◆Cedric E. Ginestet, Imperial College London 8:55 a.m. Testing Time Series Data Compatibility for Benchmarking—◆Christian Gagné, Statistics Canada 9:55 a.m. Bayesian Prediction for GLMM Using High-Order Laplace Approximation—◆Evangelos Evangelou, 9:15 a.m. Simultaneous and Two-Step Reconciliation of The University of North Carolina at Chapel Hill; Systems of Time Series—◆Marco Marini, ISTAT; Zhengyuan Zhu, The University of North Carolina at Tommaso Di Fonzo, University of Padua Chapel Hill; Richard Smith, The University of North 9:35 a.m. Direct vs. Indirect Seasonal Adjustment for CPS Carolina at Chapel Hill National Labor Force Series—◆Thomas Evans, 10:15 a.m. Floor Discussion Bureau of Labor Statistics 9:55 a.m. Temporal Aggregation and Seasonal Adjustment— ◆Nicholas von Sanden, Australian Bureau of Statistics 260 CC-150B 10:15 a.m. Floor Discussion New Developments in Causal Inference— Topic-Contributed Section on Statistics in Epidemiology Organizer(s): Dylan Small, University of Pennsylvania 262 CC-209C Chair(s): Dylan Small, University of Pennsylvania ✪ New Developments in Bayesian Nonparametric Methodology—Topic- 8:35 a.m. Efficient Tests for Burden of Illness—◆Jing Cheng, Contributed University of Florida; Dylan Small, University of Section on Bayesian Statistical Science Pennsylvania Organizer(s): Abel Rodriguez, University of California, Santa Cruz 8:55 a.m. Nonparametric Estimation of the Disease Chair(s): Lianming Wang, University of South Carolina Attributable Fraction—◆Wei Wang, University of Pennsylvania 8:35 a.m. Distance-Based Probability Distribution on 9:15 a.m. Sufficient Cause Interactions for Categorical and Set Partitions with Applications to Bayesian Ordinal Exposures—◆Tyler VanderWeele, The Nonparametrics—◆David B. Dahl, Texas A&M University of Chicago University; Ryan Day, University of the Pacific; 9:35 a.m. Tests of Covariate Balance in Experiments and Jerry Tsai, University of the Pacific Observational Studies—◆Ben B. Hansen, University 8:55 a.m. Dynamic Point Process Modeling with a DDP— of Michigan; Jake Bowers, University of Illinois at ◆Matt Taddy, The University of Chicago Urbana-Champaign; Jake Bowers, University of 9:15 a.m. Semiparametric Bayesian Approach to Prediction of Illinois at Urbana-Champaign Cancer Mortality Counts in the Presence of Spatial Information—◆Kaushik Ghosh, University of Nevada Las Vegas; Pulak Ghosh, Novartis Pharmaceuticals; Ram C. Tiwari, FDA

130 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. NP Bayes Functional Regression for a PK/PD Semi- 264 CC-158A ◆ Mechanistic Model— Michele Guindani, University ■ Monitoring for Informed Natural Resource of New Mexico; Peter Müller, The University of Texas M.D. Anderson Cancer Center; Gary L. Rosner, The Management Decisions—Topic-Contributed University of Texas M.D. Anderson Cancer Center; Section on Statistics and the Environment Lena Friberg, Uppsala University Organizer(s): Joel H. Reynolds, U.S. Fish and Wildlife Service 9:55 a.m. On the Support of Levy Random Field Priors and Chair(s): Gretchen Moisen, U.S. Forest Service Applications to Posterior Consistency Problems— ◆Natesh S. Pillai, Warwick University 8:35 a.m. The Design of a Large-Scale Aerial Survey to 10:15 a.m. Floor Discussion Monitor Wintering Sea Duck Populations—◆Emily Silverman, U.S. Fish and Wildlife Service; Mark Koneff, U.S. Fish and Wildlife Service; Kathy Fleming, U.S. Fish and Wildlife Service; James Wortham, U.S. 263 CC-144A Fish and Wildlife Service Assessing Effects of Interventions in 8:55 a.m. Spatial Design for the North American Breeding Longitudinal Naturalistic Data— Bird Survey (BBS): An Integrated Approach— ◆Emily H. Griffith, U.S. Geological Survey; Topic-Contributed J. Andrew Royle, U.S. Geological Survey Section on Health Policy Statistics 9:15 a.m. The Structure of Human Development Across Organizer(s): Douglas Faries, Eli Lilly and Company Landscapes and Its Implications for Aquatic Chair(s): Robert Obenchain, Risk Benefit Statistics LLC Monitoring Programs—◆E. Ashley Steel, NOAA Fisheries 8:35 a.m. Assessing Causal Treatment Effects in Longitudinal 9:35 a.m. Effective and Efficient Monitoring of Steller’s Eiders Naturalistic Data: Challenges and Methods— at Izembek Lagoon, Alaska: Barriers and Pitfalls— ◆Douglas Faries, Eli Lilly and Company; Alan ◆Joel H. Reynolds, U.S. Fish and Wildlife Service Brnabic, Eli Lilly and Company 9:55 a.m. Floor Discussion Tuesday 8:55 a.m. Considerations in Applying Marginal Structural Models to Analyze Longitudinal Naturalistic Data— ◆Ouhong Wang, Amgen, Inc. 9:15 a.m. Maximum Likelihood Estimation of the Structural 265 CC-149A Nested Mean Model Using SAS PROC NLP— Some Recent Developments in Transportation ◆Daniel Almirall, Duke University; Cynthia Coffman, Statistics—Topic-Contributed Duke University Medical Center; William S. Yancy, Jr., Duke University; Susan Murphy, University Social Statistics Section, Transportation Statistics Interest Group of Michigan Organizer(s): Promod Chandhok, U.S. Department of Transportation 9:35 a.m. Estimating Volume-Outcome Associations from Chair(s): Karl Sieber, National Institute for Occupational Safety Longitudinal Naturalistic Data—◆Benjamin and Health French, University of Pennsylvania; Farhood Farjah, University of Washington; David R. Flum, University 8:35 a.m. Nonresponse Bias Estimation in the Omnibus of Washington; Patrick Heagerty, University Household Survey—◆Promod Chandhok, U.S. of Washington Department of Transportation 9:55 a.m. Data-Mining Techniques for Longitudinal 8:55 a.m. A Case-Crossover Design Study for Evaluating Naturalistic Data—◆Anthony Zagar, Eli Lilly and the Safety Impact of Driver Behavior—◆Feng Guo, Company; Robert Obenchain, Risk Benefit Virginia Polytechnic Institute and State University Statistics LLC 9:15 a.m. Enhancing the National Household Travel Survey 10:15 a.m. Floor Discussion Data Series—Bennett K. Pierce, Battelle; ◆Robert Santos, The Urban Institute 9:35 a.m. Transportation Finance Options: Who Is Affected?—◆Heather Contrino, Federal Highway Administration; Robert Santos, The Urban Institute 9:55 a.m. Disc: Michael P. Cohen, NORC at the University of Chicago 10:15 a.m. Floor Discussion

Washington, DC 131 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Topic-Contributed Panels 268 CC-203B Inferential Methods in Biostatistics—Contributed 8:30 a.m.–10:20 a.m. ENAR Chair(s): Jeffrey H. Stratton, University of Connecticut 266 CC-155 ■ Experiences Involving Undergraduates in 8:35 a.m. A Bootstrap Testing Procedure for Building Statistical Consulting—Topic-Contributed Piecewise Linear Logistic Regression Models Section on Statistical Education with Free-Knot Splines—◆Scott W. Keith, Thomas Jefferson University; David B. Allison, The University Organizer(s): Neal Rogness, Grand Valley State University of Alabama at Birmingham Chair(s): Phyllis J. Curtiss, Grand Valley State University 8:50 a.m. Hypothesis Testing of Correlation Parameters for Several Familial Dependence Structures—◆Roy T. Panelists: ◆Neal Rogness, Grand Valley State University Sabo, Virginia Commonwealth University ◆Nicholas Horton, Smith College 9:05 a.m. Testing Variance Components in Multilevel Linear ◆John Walker, Cal Poly Models Using Approximate Bayes Factors— ◆ ◆Brian Jersky, St. Mary’s College of California Benjamin Saville, Vanderbilt University; Amy Herring, The University of North Carolina at 10:15 a.m. Floor Discussion Chapel Hill 9:20 a.m. Test of Trend for Clustered Data with the Use of Stochastic Ordering—◆Kyeongmi Cheon, The University of Memphis; Aniko Szabo, Medical Contributed Sessions College of Wisconsin; E. Olusegun George, The 8:30 a.m.–10:20 a.m. University of Memphis 9:35 a.m. Statistical Inferences from Formaldehyde DNA-Protein Cross-Link Data—◆Martin Klein, 267 CC-142 University of Maryland, Baltimore County Statistical Data Analysis in Macroeconomics and 9:50 a.m. Extracting Within-Experiment Precision of Forecasting—Contributed Horticultural Experiments Useful for Meta- ◆ Business and Economic Statistics Section Analysis— Dihua Xu, University of Maryland, Baltimore County Chair(s): Nikolay Gospodinov, Concordia University 10:05 a.m. Robust Tests of Independent Censoring for Recurrent Event Data—◆Jimin Lee, The University 8:35 a.m. Modeling Monetary Policy in Real Time: Does of North Carolina at Asheville; Yanqing Sun, The Discreteness Matter?—◆Andrey Sirchenko, University of North Carolina at Charlotte European University Institute 8:50 a.m. On the Estimation of Forecasters’ Loss Function Using Density Forecasts—◆Kajal Lahiri, State University of New York at Albany; Fushang Liu, 269 CC-148 SUNY at Albany ■ ✪ Transportation Risk—Contributed 9:05 a.m. Forecasting and Estimation Models of GDP— Section on Risk Analysis ◆Les Yen, University of Phoenix Chair(s): TBD 9:20 a.m. Common Factors in Commodity Price Movements— Joseph Gruber, Federal Reserve Board; ◆Robert Vigfusson, Federal Reserve Board 8:35 a.m. A Critical Statistical Review of Some Transportation Safety Studies—◆Norma F. Hubele, Arizona 9:35 a.m. Constructive Data Mining: Modeling Argentine State University Broad Money Demand—◆Neil R. Ericsson, Federal Reserve Board; Steven B. Kamin, 8:50 a.m. Risk Assessment in Traffic Safety—◆Elke A. Moons, Federal Reserve Board Hasselt University; Christel Faes, Hasselt University; Tom Brijs, Hasselt University 9:50 a.m. The Ability of the Comunicational Bias to Predict the Direction of Monetary Policy Rates in an Emerging 9:05 a.m. Hierarchical Models in the Insurance Industry— Economy—◆Pablo M. Pincheira, Central Bank ◆Bill Stergiou, Deloitte Consulting LLP of Chile 9:20 a.m. The Serious Accidents in Car Insurance: A New 10:05 a.m. Floor Discussion Appoach by Extreme Value Theory—◆Michel Grun-Rehomme, University of Paris 2 9:35 a.m. Interpreting Differential Effects in Light of Fundamental Statistical Tendencies—◆James P. Scanlan, James P. Scanlan, Attorney at Law

132 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:50 a.m. Regression Analysis of the Relationship Between 8:50 a.m. Voronoi Tessellation for Contour Plots—◆Hyunsook Network Properties and Network Reliability— Lee, Harvard-Smithsonian Center for Astrophysics ◆Seth D. Guikema, Johns Hopkins University; 9:05 a.m. Sampling and Scripting for Exploration of Large Jacob Torres, Johns Hopkins University Databases—◆Danielle M. Wrolstad, Iowa 10:05 a.m. Floor Discussion State University 9:20 a.m. Graph Theoretic Methods for Cluster Verification— ◆Bernard Harris, University of Wisconsin 9:50 a.m. The View Locked Color Image Grand Tour— 270 CC-141 ◆Bradley C. Wallet, University of Oklahoma Discrete Data and Mixtures Computational and 9:50 a.m. Visual Monitoring of Data Streams—◆Adam Loy, Graphical Methods—Contributed Iowa State University; Heike Hofmann, Iowa Section on Statistical Computing, Interface Foundation of State University North America 10:05 a.m. Tools for Identifying Homogenous Subgroups Chair(s): Andrew C. Thomas, Harvard University in Large Data—◆Yuanyuan Huang, Iowa State University; Heike Hofmann, Iowa State University; 8:35 a.m. Two Graphical Methods for Outlier Detection in Dianne Cook, Iowa State University Discrete Distributions—◆Fiona McElduff, University College London 8:50 a.m. Estimating Mixture Proportions When Categorized Data Are Available—◆Shiju Zhang, St. Cloud 272 CC-159A State University ■ Statistics in Sports—Contributed 9:05 a.m. Multiple Structural Breaks in Time Series of Section on Statistics in Sports, Section on Bayesian Count Data: Forecasting the Number of Atlantic Statistical Science Hurricanes—◆Beom Lee, University of South Chair(s): Matthew S. Johnson, Teachers College Florida; James E. Gentle, George Mason University Tuesday 9:20 a.m. The Model Selection of Zero-Inflated Mixtured 8:35 a.m. Odds Ratio Models in Sports—◆Carl N. Morris, Poisson Regression—◆Huaiye Zhang, Virginia Harvard University Polytechnic Institute and State University; Inyoung 8:50 a.m. Home Advantage in Professional Tennis— Kim, Virginia Polytechnic Institute and ◆Ruud Koning, University of Groningen State University 9:05 a.m. Paired Comparison Models for Ranking National 9:35 a.m. Choosing a Dissimilarity Representation for Pattern Soccer Teams—◆Andrew W. Swift, University of Classification (and How to Use This Choice to Nebraska at Omaha; Shawn Hallinan, IMS Health Improve Your Results)—◆Adam Cardinal-Stakenas, Johns Hopkins University; Carey E. Priebe, Johns 9:20 a.m. An Equitable Scoring System for March Madness Hopkins University; Zhiliang Ma, Johns Hopkins Pools—◆Ted A. Gooley, Fred Hutchinson Cancer University; Youngser Park, Johns Hopkins Research Center; Barry E. Storer, Fred Hutchinson University; Jeffrey L. Solka, Naval Surface Cancer Research Center Warfare Center 9:35 a.m. Models for Motorcycle Grand Prix Racing Times— 9:50 a.m. A Robust Estimation Method for Finite Mixture of ◆Leanne Streja, University of California, Los Angeles; Poisson Mixed-Effects Models—◆Liming Xiang, Robert E. Weiss, University of California, Los Nanyang Technological University Angeles; Catherine A. Sugar, University of California, Los Angeles 10:05 a.m. P2P Networks—◆Adil Rajput, B. Point; Abdullah A. Alnoshan, The George Washington University 9:50 a.m. Estimating the Effect of Synergy in Partnerships: Evidence from Coaches and Football Teams from the German Premier League—◆Padma Rao Sahib, University of Groningen 271 CC-143B 10:05 a.m. Accounting for Home Ice Advantage in Women’s ■ ✪ Graphical Methods for Massive or College Hockey Rankings: A Bayesian Approach— ◆Michael A. Rutter, Penn State University Erie High-Dimensional Data Sets—Contributed Section on Statistical Graphics, Interface Foundation of North America Chair(s): Subhabrata Chakraborti, The University of Alabama

8:35 a.m. Interactive System for the Analysis of Network Flows—◆Lorraine Denby, Avaya Labs Research; Wen-Hua Ju, Avaya Labs Research; Fei Chen, Avaya Labs Research; James Landwehr, Avaya Labs Research; Pat Tendick, Avaya Labs Research Washington, DC 133 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

273 CC-149B 9:20 a.m. Bayesian Spatio-Temporal Downscaling Models for ◆ ■ Local Climate Prediction— Paul D. Baines, Harvard Estimating and Adjusting for Nonresponse University; Xiao-Li Meng, Harvard University Bias—Contributed 9:35 a.m. An Integrated Approach to Land Use Policy— Section on Survey Research Methods ◆Chandra Aleong, Delaware State University; Chair(s): James R. Chromy, RTI International John Aleong, University of Vermont 9:50 a.m. Sequential Sampling with Spatial Generalized 8:35 a.m. Assessing Nonresponse Bias in the International Linear Mixed Model with Application to Pest Price Program’s Import and Export Price Index Density Assessment—◆Judy X. Li, University of Surveys—◆Jenny L. FitzGerald, Bureau of California, Riverside; Daniel Jeske, University of Labor Statistics California, Riverside 8:50 a.m. March CPS Income Time Series Analysis 1976– 10:05 a.m. An Approach to Enhance Performance of Spatial 2007: Does Imputation Affect Poverty Estimates?— Smoothing Methods with Aggregated Data— ◆Joan L. Turek, U.S. Department of Health and ◆Nong Shang, CDC Human Services; Sameer Desale, Synectics for Management Decisions, inc.; Charles T. Nelson, U.S. Census Bureau; Fritz Scheuren, NORC at the University of Chicago 275 CC-208A 9:05 a.m. Modeling Nonresponse and Under-Reporting in Nonparametrics Testing—Contributed Response in Surveys of the Arrestee Population— Section on Nonparametric Statistics ◆Zhiwei Zhang, NORC at the University of Chicago Chair(s): Marc Genton, Texas A&M University 9:20 a.m. Analysis of Nonresponse Bias in the Early Head Start Research and Evaluation Project—◆Barbara L. Carlson, Mathematica Policy Research, Inc. 8:35 a.m. The Split Sample Permutation t-Tests—◆Shunpu Zhang, University of Nebraska-Lincoln 9:35 a.m. Effect on Oral Health Estimates of Response Disparities: Results from the Survey of Oral 8:50 a.m. Detection of Treatment Effects by Covariate- Health Status, Maryland School Children Adjusted Expected Shortfall—◆Ya-Hui Hsu, 2005--2006—◆Haiyan Chen, University of Maryland University of Illinois at Urbana-Champaign; Xuming Dental School; Richard Manski, University of He, University of Illinois at Urbana-Champaign; Maryland Dental School; Ronald Chenette, Mingxiu Hu, Millennium Pharmaceuticals/The University of Maryland Dental School Takeda Oncology Company 9:50 a.m. Effect of Survey Modes on Sampling Design, 9:05 a.m. How to Dig for DEGs—◆Lena Granovsky, Technion; Coverage, and Nonresponse in Surveys of Paul D. Feigin, Technion–Israel Institute of Veteran and Military Populations—◆Boris Technology Rachev, ICF International 9:20 a.m. Combination of Levene-Type and Finite-Intersection 10:05 a.m. Computing Response Rates for Probability-Based Tests for Homogeneity of Variances Against Web Panels—Charles DiSogra, Knowledge Networks; Ordered Alternatives—◆Kimihiro Noguchi, ◆Mario Callegaro, Knowledge Networks University of Waterloo; Yulia R. Gel, University of Waterloo 9:35 a.m. Estimating Equations in Biased Sampling Problems—◆Bin Zhang, University of Missouri; 274 CC-158B Jianguo Sun, University of Missouri; Jing Qin, Sampling and Multiscaling Issues for National Institute of Allergy and Infectious Diseases Environmental Studies—Contributed 9:50 a.m. Hippocampus Shape Analysis of Clinically Depressed Twin Populations Using a Modified Section on Statistics and the Environment Mann-Whitney-Wilcoxon Statistic—◆Nikhil Ram Chair(s): William F. Christensen, Brigham Young University Mohan, Johns Hopkins University; Carey E. Priebe, Johns Hopkins University; Youngser Park, Johns 8:35 a.m. Development of a Soil Moisture Sampling Scheme Hopkins University; Majnu John, Weill Medical Based on Scale and Validation Problems—◆Lisa College of Cornell University Bramer, Iowa State University; Petrutza Caragea, 10:05 a.m. A Program for Computing Probability Values for Iowa State University Significance Tests Using Pearson Distributions— 8:50 a.m. USEPA’s Targeted National Sewage Sludge ◆Wei Pan, University of Cincinnati; Haiyan Bai, Survey—◆Marla D. Smith, U.S. Environmental University of Central Florida Protection Agency; Rick Stevens, U.S. Environmental Protection Agency 9:05 a.m. Multivariate Downscaling of Outputs from Numerical Models—◆Veronica J. Berrocal, Duke University; Alan E. Gelfand, Duke University

134 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

276 CC-204B 9:35 a.m. Covariate-Adjusted Correlation Analysis with Application to FMR1 Premutation Female Carrier Semiparametric Models for Analyzing Data—◆Damla Senturk, Penn State University; Longitudinal Outcomes—Contributed Danh Nguyen, University of California, Davis Biometrics Section 9:50 a.m. Analysis of Longitudinal Data Using Partial Linear Chair(s): Joel A. Dubin, University of Waterloo Models with Quadratic Inference Functions— ◆Wing K. Fung, The University of Hong Kong 8:35 a.m. Robust Small Sample Inference for Fixed Effects 10:05 a.m. A Parametric Permutation Test for Regression from Restricted Maximum Likelihood—◆Chunpeng Coefficients in LASSO Regularized Regression— Fan, sanofi-aventis; Donghui Zhang, sanofi-aventis; ◆Michael Wu, Harvard University; Tianxi Cai, Cun-Hui Zhang, Rutgers University Harvard University; Xihong Lin, Harvard School 8:50 a.m. Semiparametric Analysis of Panel Count Data with of Public Health Correlated Observation and Follow-Up Times— ◆Xin He, The Ohio State University; Xingwei Tong, Beijing Normal University; Jianguo Sun, University of Missouri 278 CC-207B 9:05 a.m. Covariate-Adjusted Linear Mixed Effects Model for ■ Bayesian Semiparametric and Longitudinal Data—◆Danh Nguyen, University of Nonparametrics—Contributed California, Davis Section on Bayesian Statistical Science 9:20 a.m. Quantile Regression for Longitudinal Biomarker Chair(s): Qingzhao Yu, Louisiana State University Health Data Subject to Detection Limits—Lan Kong, Sciences Center University of Pittsburgh; ◆Minjae Lee, University of Pittsburgh 8:35 a.m. A Note on the Bayes Factor in a Semiparametric 9:35 a.m. Robust Estimation in Multivariate Linear Mixed Regression Model—◆Taeryon Choi, Inha University; ◆ Effects Models— Inna Chervoneva, Thomas Jaeyong Lee, Seoul National University; Anindya Roy, Jefferson University University of Maryland, Baltimore County Tuesday 10:05 a.m. Floor Discussion 8:50 a.m. Bayesian Semiparametric Infinite Latent Variable Models—◆Ju Hyun Park, National Cancer Institute; David Dunson, Duke University 9:05 a.m. Bayesian Inference for Semiparametric Quantal 277 CC-203A Response Equilibrium Models—◆Anton Westveld, Nonparametric Models II—Contributed University of Nevada Las Vegas; Kevin Quinn, Biometrics Section Harvard University Chair(s): Angelo Elmi, University of Pennsylvania 9:20 a.m. Hierachical Bayesian Nonparametric Approaches for Detecting Difference Boundaries in Disease ◆ 8:35 a.m. Wavelet-Based Functional Mixed Models for Maps— Pei Li, The University of Minnesota; Transcriptome Analysis—◆Lieven Clement, Ghent Sudipto Banerjee, The University of Minnesota; University; Ciprian M. Crainiceanu, Johns Hopkins Tim Hanson, The University of Minnesota; University; Kristof De Beuf, Ghent University; Olivier Marshall A. McBean, The University of Minnesota Thas, Ghent University; Rafael Irizarry, Johns 9:35 a.m. Robust Nonparametric Bayesian Methods— Hopkins University ◆Juhee Lee, The Ohio State University; Steven N. 8:50 a.m. Modeling Animal Mother-Infant Distance Proximity MacEachern, The Ohio State University Over Time to Determine a Change Point in 9:50 a.m. Bayesian Estimation for Generalized Nonparametric Behavior: When Does Animal Weaning Occur?— Single-Index Mixed Model—◆Jinsong Chen, ◆Lorrie L. Hoffman, Armstrong Atlantic State Virginia Polytechnic Institute and State University; University; Steve Clark, SeaWorld; Greg Knofczynski, Inyoung Kim, Virginia Polytechnic Institute and State Armstrong Atlantic State University; Jaree Hudson, University; George R. Terrell, Virginia Polytechnic Armstrong Atlantic State University; Heather King, Institute and State University Armstrong Atlantic State University; Alfreda Rogers, 10:05 a.m. Semiparametric Measurement Error Modeling in Armstrong Atlantic State University Logistic Regression, with Application to Survey 9:05 a.m. Weighted Likelihood Estimators for Finite Normal Data—◆Jianjun Gan, University of South Carolina; Mixture Models—◆Tingting Zhan, Temple Hongmei Zhang, University of South Carolina University; Inna Chervoneva, Thomas Jefferson University; Boris Iglewicz, Temple University 9:20 a.m. Semiparametric Cure Rate Models for Current Status Data—◆Guoqing Diao, George Mason University

Washington, DC 135 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

279 CC-208B 280 CC-201 Miscellaneous Methodology II—Contributed Statistical Issues Related to Safety Data— IMS Contributed Chair(s): Carrie Hosman, University of Michigan Biopharmaceutical Section, Section on Bayesian Statistical Science 8:35 a.m. Quadratic Covariation Estimation with Noisy Chair(s): Chul H. Ahn, FDA and Asynchronous Data—◆Dacheng Xiu, Princeton University 8:35 a.m. Marking the Ends of T-Waves: Algorithms and 8:50 a.m. Density Estimators for Invertible Linear Processes— Experts—◆Yingchun Zhou, National Institute of ◆Wolfgang Wefelmeyer, University of Cologne Statistical Sciences; Nell Sedransk, National Institute of Statistical Sciences 9:05 a.m. Semi-Logarithmic Loss-Based Estimation and Its Related Distributions—◆Masato Kagihara, 8:50 a.m. Diagnostics for Logistic Regression on AE Data— Fukuoka University ◆Bo Jin, Merck Research Laboratories 9:20 a.m. On Variance Estimation for Tree Order Restricted 9:05 a.m. Handling Missing Data in the Analysis of Exposure- Models—◆Sanjay Chaudhuri, National University Adjusted Incidence Rates with Applications to of Singapore; Antar Bandyopadhyay, Indian Safety Endpoints in Clinical Trials—◆Adeniyi J. Statistical Institute Adewale, Merck & Co., Inc.; Adam B. Polis, Merck & Co., Inc. 9:35 a.m. One Step Toward a Less Sensitive Statistic— ◆Anurag N. Banerjee, Durham University 9:20 a.m. Validity and Utility of a Novel Method for Assessing Benefit-Risk Tradeoff in Clinical Trials—◆Maksim 9:50 a.m. Estimation of the Parameters of Two-Parameter Pashkevich, Eli Lilly and Company; Nathan Enas, Exponential Distribution Using Top K-lists— Eli Lilly and Company ◆Mohamed Habibullah, Northeastern University 9:35 a.m. A Bayesian Approach for Safety Monitoring in 10:05 a.m. Orthogonal Series Density Estimation Clincal Trials—◆Gang Jia, Merck & Co., Inc.; Methodology—◆Serge B. Provost, The University Xiaoming Li, Merck Research Laboratories; Xin Zhao, of Western Ontario; Min Jiang, The University of Merck & Co., Inc. Western Ontario

136 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:50 a.m. Methods for Interval-Censored Safety Events 10 Using the JMP Scripting Language to Teach Sampling and Based on Laboratory Data—◆Yan Zheng, sanofi- Inference for the Proportion— aventis; Meehyung Cho, sanofi-aventis; William ◆Amy G. Froelich, Iowa State University Stager, sanofi-aventis; Gerard Derzko, sanofi-aventis; Kaihong Jiang, sanofi-aventis 10:05 a.m. Single-Group Prospective Post-Marketing Safety Studies: A Bayesian Approach—◆Yu-te Wu, FDA; 283 CC-Hall D George Rochester, FDA; Yi Tsong, FDA Contributed Oral Poster Presentations— Contributed Section on Statistical Education Poster Presentations Chair(s): William Duckworth, Creighton University 8:30 a.m.–10:20 a.m. Statistical education, teaching, and training 11 Determining the Sample Size for Estimating the Standard Deviation—◆Kevin S. Robinson, Millersville 281 CC-Hall D University of Pennsylvania Topic-Contributed Oral Poster Presentations: 12 Student Self-Assessment of Competence: Accurate or History of Statistics—Topic-Contributed Important?—◆Joe H. Sullivan, Mississippi State University Section on Statistical Education 13 R in the Classroom: Exploring the Sequential Probability Chair(s): Lara Schmidt, RAND Corporation Ratio Test for Normal Data—◆Philip Wong, AAA NCNU; Roanna Gee, California State University, East Bay; Bruce E. History of Statistics Trumbo, California State University, East Bay 01 Statisticians Speak Out—◆Frederick O. Lorenz, Iowa State 14 Simplify Your Analyses of the Survey of Attitudes Toward University; David Rockoff, Iowa State University Statistics—◆Marjorie E. Bond, Monmouth College 02 The Impact of Henry Wallace on Statistics at Iowa State 15 Informal Inference: Scaling Student Sophistication— University—◆Laura A. Hildreth, Iowa State University ◆S. David Kriska, The Ohio State University; Mark C. Tuesday Fulcomer, University of Medicine and Dentistry of New 03 George Waddell Snedecor—◆Dai-Trang Le, Jersey; Marcia M. Sass, University of Medicine and Iowa State University Dentistry of New Jersey 04 H. O. Hartley: His Views on Statistics and a Glimpse Into 16 A Visual Model for Analysis of Variance—◆J. Burdeane the Future—◆Kristian Schmidt, Iowa State University Orris, Butler University 05 The Life and Achievements of Oscar Kempthorne— 17 Hands-On Learning Aid for Statistical Process Control ◆Karl T.L. Pazdernik, Iowa State University and Capability Measures—◆James A. Alloway, 06 Women Do Much More Than ‘Cooke’—◆Luvenia Hellams, EMSQ Associates Iowa State University 18 T-Test for Proportions? Making Do When Your Software Can’t Do Confidence Intervals for Proportions—◆Gerald Shoultz, Grand Valley State University 282 CC-Hall D 19 Strat-O-Matic Baseball: An Introduction to Probability Concepts—◆John Gabrosek, Grand Valley State University ■ Topic-Contributed Oral Poster Presentations: 20 Comparison of the Power of the Paired Samples Using Technology Tools for Education— Permutation Tests—◆Ferry Butar Butar, Sam Houston State Topic-Contributed University; Ananda Manage, Sam Houston State University Section on Statistical Education 21 Teaching Statistical Thinking as a Liberal Art with an Eye Organizer(s): Lara Schmidt, RAND Corporation Toward History: A Writing- and Discussion-Intensive New Chair(s): Lara Schmidt, RAND Corporation Course—◆Kevin Henning, Texas Tech University

Statistical education, teaching, and training Computational statistics, numerical methods, simulation 07 Using a Script Language to Develop Interactive 22 Preliminary Variance Tests for Deciding to Use Pooled Demonstrations—◆Mark Bailey, SAS Institute Inc. vs. Nonpooled t-Tests—◆Jared L. Martin, Millersville 08 Using the JMP Scripting Language to Teach Sampling University of Pennsylvania; Lewis H. Shoemaker, and Inference for the Mean—◆William Duckworth, Millersville University of Pennsylvania Creighton University 09 Livening Up the Introductory Statistics Course with Longitudinal data, repeated measurements, and Nontraditional Media Resources—◆Page C. Moore, meta-analysis University of Arkansas for Medical Sciences 23 Postdoctoral Plans vs. Outcomes of PhD Graduates in the Labor Market—◆Eric J. Solis, The George Washington University

Washington, DC 137 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Linear models, GLMs, parametric methods 35 Network Sampling for Assessing Excess Alcoholism 24 Fitting and Interpreting GLMs (the Saturated Model Isn’t and Drug Abuse Among Students in Nigerian Tertiary Perfect and Other Cautionary Tales)—◆Robert Kushler, Institutions—Rotimi Ogundeji, University of Lagos; Oakland University ◆Ismaila Adeleke, University of Lagos; Ray Okafor, University of Lagos; Edesiri Ahani, University of Lagos; Ugochukwu Mbata, University of Lagos; Adegbenga Statistical education, teaching, and training Olalude, University of Lagos 25 Analogical Encoding of Statistics Problems: Role of Self-Explanation and Feedback—◆Simin Hall, Virginia Polytechnic Institute and State University; Eric Vance, Incomplete data analysis, imputation methods Virginia Polytechnic Institute and State University 36 Imputation Methods for Adaptive Matrix Sampling— ◆Jeffrey Gonzalez, Bureau of Labor Statistics; John L. 26 Relating Two Conceptualizations of the Arithmetic Mean— Eltinge, Bureau of Labor Statistics ◆Mark Marnich, Point Park University

Applications and case studies Engineering and physical sciences, chemometrics 37 Testing Hardy-Weinberg Equilibrium Using Family 27 Statistical Modeling: A More Acceptable Approach— Data from Complex Surveys—◆Dewei She, The George ◆Reza D. Noubary, Bloomsburg University Washington University; Hong Zhang, University of Science and Technology of China; Zhaohai Li, The Statistical education, teaching, and training George Washington University 28 Classroom Simulation: Investigation of the Asymptotic Distribution of the Sample Median—◆Vadim Y. Bichutskiy, Government statistics California State University, East Bay; Joshua Kerr, California 38 Pretesting with Populations Experiencing Transience: State University, East Bay; Bruce E. Trumbo, California State Testing to Ensure Questionnaires Are Broadly University, East Bay Accessible—◆Jennifer H. Childs, U.S. Census Bureau; 29 Students’ Perceptions of Variability Across Different Types Nathan Jurgenson, U.S. Census Bureau; Dawn R. Norris, of Graphs—◆Felice S. Shore, Towson University; Linda L. U.S. Census Bureau Cooper, Towson University 39 One-Time Contact for a Census Internet Survey: Is It Sufficient? Washington State Professional Health Categorical, multivariate analysis Worker Census Internet Mode Effect and Response Rate 30 Using Assessment Data in Multivariate Statistics Study—◆Danna L. Moore, Washington State University; Courses—◆Julia A. Norton, California State University, Bruce Austin, Washington State University; Kent Miller, East Bay; Lynn Eudey, California State University, East Bay; Washington State University Monica Anand, California State University, East Bay Sampling and survey methodology Statistical education, teaching, and training 40 Are ‘Do Not Include’ Statements Helpful?—◆Monica 31 Exploration of Dimensionality of the CAOS Test—◆Ji Hoon Dashen, Bureau of Labor Statistics Ryoo, The University of Minnesota Graphics, visualization 41 Visualization of Complex Survey Data—◆Edward Mulrow, 284 CC-Hall D NORC at the University of Chicago; Susan Hinkins, NORC at the University of Chicago; Fritz Scheuren, NORC at the Contributed Oral Poster Presentations— University of Chicago Contributed Section on Survey Research Methods Health policy, epidemiology, public health Chair(s): Lara Schmidt, RAND Corporation 42 Assessing Variability in Life-Table Estimates Based on Longitudinal Data Involving a Complex Survey—◆Van L. Sampling and survey methodology Parsons, National Center for Health Statistics; Nathaniel 32 Why Is Survey Research 20 Years Behind?—◆Robert E. Schenker, National Center for Health Statistics; Kimberly Fay, Westat, Inc. Lochner, National Center for Health Statistics; Gloria 33 Optimizing Call Time of Day in an RDD Survey— Wheatcroft, National Center for Health Statistics; Elsie R. ◆S. Sean Hu, CDC; Lina Balluz, CDC; Willaim Garvin, Pamuk, National Center for Health Statistics CDC; Mohamed Qayad, CDC Sampling and survey methodology Social and behavioral science 43 Model-Based Methods in Analyzing Complex Survey 34 Using Sample Statistics to Quantify Community Building— Data: A Case Study with National Health Interview Survey ◆Bart Phillips, Community Building Tutors, NFP Data—◆Rong Wei, National Center for Health Statistics; Van L. Parsons, National Center for Health Statistics

138 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

44 Estimating the Variance of Between-Year Change in 56 A Noninformative Bayesian Approach to Small-Area Domain-Level Totals—◆Kimberly Henry, IRS; Valerie Estimation—Glen Meeden, The University of Minnesota; Testa, IRS; Richard Valliant, University of Michigan ◆Yanping Qu, The University of Minnesota; Bo Zhang, The University of Minnesota Mathematical statistics, distribution theory, robust statistics 45 Characteristic Function for and Moments of the Truncated Social and behavioral science Triangular Distribution—◆Jay J. Kim, National Center for 57 Latent Structure Models for Social Networks Using Health Statistics; Myron J. Katzoff, National Center for Aggregated Relational Data—◆Tian Zheng, Columbia Health Statistics; Rahul A. Parsa, Drake University University; Tyler H. McCormick, Columbia University

Sampling and survey methodology Sampling and survey methodology 46 Developing models of respondent fatigue to guide the 58 Developing the Dual Frame Design for the 2010 order in which to ask survey questions—◆Brian L. National Survey of College Graduates—◆John M. Egleston, Fox Chase Cancer Center Finamore, U.S. Census Bureau; David W. Hall, U.S. Census 47 Nonresponse Bias: Telephone Point-of-Purchase Survey— Bureau; Stephen Cohen, National Science Foundation; Fan ◆Madeleine Saxton, Bureau of Labor Statistics; Patrick Zhang, National Science Foundation; Flora Lan, National Falwell, Bureau of Labor Statistics Science Foundation; Donsig Jang, Mathematica Policy Research, Inc. 48 Alphabetical Placement in Surveys of Persons at Institutions: A Simulation Study—Pedro J. Saavedra, ICF 59 Missing Data and Complex Samples: The Impact of Macro; ◆Francine Barrington, ICF Macro Listwise Deletion vs. Subpopulation Analysis on Statistical Bias and Hypothesis Test Results When Data Are MCAR 49 A Weighting Methodology for Complex Surveys—◆Vicki J. and MAR—◆Bethany A. Bell, University of South Carolina; Pineau, TNS-Global; Margaret E. Strickland, TNS Global; N. Jeffrey D. Kromrey, University of South Florida; John M. D. Prabhakar, TNS Global; Carl T. Finkbeiner, TNS Global Ferron, University of South Florida

Incomplete data analysis, imputation methods Applications and case studies Tuesday 50 Reproducing Nonresponse Adjustments in Replicate 60 A Comparison of Address-Based Sampling and Random Weights—Pedro J. Saavedra, ICF Macro; ◆R. Lee Harding, Digit Dialing Sampling—◆Daniel E. Williams, Western Macro International, Inc. Wats; Edward P. Johnson, Opinion Outpost

Sampling and survey methodology Sampling and survey methodology 51 On the Construction of Bootstrap Confidence Intervals 61 Assessing Survey Estimates of Intent to Leave with Under Purposive Sampling—Ray Okafor, University Personnel Data—◆Taylor Lewis, Office of Personnel of Lagos; Ismaila Adeleke, University of Lagos; Dallah Management; Mary Clair Turner, Office of Personnel Hamadu, University of Lagos; ◆Rotimi Ogundeji, Management; Eulus Moore, Office of Personnel University of Lagos Management; Bob Heim, Office of Personnel Management 52 Bayes Model for Inference on Vehicular Traffic Density at the Main Campus of University of Lagos—◆Ray Okafor, University of Lagos; A. I. Opara, University of Lagos; Longitudinal data, repeated measurements, and Rotimi Ogundeji, University of Lagos; Ugochukwu Mbata, meta-analysis University of Lagos 62 Model Selection in Linear Mixed Effects Models— 53 A Survey of Retail Outlets: Sample Design Issues— ◆Ying Lu, University of Colorado at Boulder; Heng Peng, ◆Karol Krotki, RTI International The Hong Kong Baptist University

Longitudinal data, repeated measurements, and Sampling and survey methodology meta-analysis 63 Translation of Agreement Answer Scales: Effects on 54 A Longitudinal Establishment Survey: Design and Category Response Curves—◆Ana Villar, University of Estimation Issues—Karol Krotki, RTI International; Nebraska Lincoln; Mario Callegaro, Knowledge Networks ◆Chris Cummiskey, RTI International Incomplete data analysis, imputation methods Sampling and survey methodology 64 Assessing the Convergence of Multiple Imputation 55 Sequential Modeling for Contact and Cooperation Algorithms Using a Sequence of Regression Models— Propensity for the United States Military Health ◆Jian Zhu, University of Michigan; Trivellore E. Survey—◆Darryl V. Creel, RTI International; Raghunathan, University of Michigan Vincent G. Iannacchione, RTI International

Washington, DC 139 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Sampling and survey methodology Categorical, multivariate analysis 65 Combining Nonoverlapping Confidential Data Through 75 Testing the Equality of Conditional Correlations Across Multiple Imputation—◆Christine Kohnen, Macalester Numeric Variable(s) with Heteroscedastic Data—◆Xueya College; Jerry Reiter, Duke University Cai, Indiana University Purdue University Indianapolis; Gregory E. Wilding, SUNY at Buffalo; Alan Hutson, SUNY at Buffalo; Yue Li, University of California, Irvine Longitudinal data, repeated measurements, and meta-analysis 66 Optimal Probability Weighting Methods in Longitudinal Health policy, epidemiology, public health Models for Data with Nonignorable Unequal Selection and 76 Reliability of the Orientation of Social Support Instrument Nonignorable Wave Nonresponse—◆Sharon L. Christ, The in Substance Abuse Treatment—◆Michael Wolf-Branigin, University of North Carolina at Chapel Hill George Mason University; Mark Taylor,

Sampling and survey methodology Incomplete data analysis, imputation methods 67 Sampling Weights for Analysis of Couple Data in 77 A Comparison of Imputation Methods for Missing Data Demographic and Health Surveys—◆Bryan Sayer, in Self-Report Likert Ratings—◆Lingqi Tang, University Social & Scientific Systems, Inc.; Stan Becker, Johns of California, Los Angeles; Thomas R. Belin, University of Hopkins University California, Los Angeles; Judy Ho, University of California, 68 Issues Associated with Measuring Activities Associated Los Angeles; Bonnie Zima, University of California, with Seeing and Hearing Across National Surveys— Los Angeles ◆Frances M. Chevarley, Agency for Healthcare Research and Quality; David W. Keer, U.S. Department of Education; Health policy, epidemiology, public health Barbara M. Altman, Consultant 78 A Stochastic and State Space Model for Human Eye 69 Effectiveness of Nesting Age, Race, and Gender for Cancer Involving Both Hereditary and Non-Hereditary Weighting Estimates of Radio Listening—◆Kelly Dixon, Cancer Genes—◆Hong Zhou, Arkansas State University; Arbitron, Inc. Wai-Yuan Tan, University of Memphis 70 Analysis of Data from Complex Survey Samples: 79 Hospital Mortality Rates analyzed through Empirical Propensity Scores and Survey Weights—◆Weiwei Cui, Mode Decomposition Method.—◆Boguslaw Skierczynski, National Institute of Statistical Sciences; Nan Liu, Ascension Health; David Pryor, Ascension Health; Ann Child Trends, Inc. Hendrich, Ascension Health

Incomplete data analysis, imputation methods Linear models, GLMs, parametric methods 71 Hot-Deck Imputation Using Imputation Models— 80 Clustering to Achieve Normality in Generalized Linear ◆Minhui Paik, Iowa State University Mixed Models—◆Kenneth Pietz, Michael E. DeBakey VA Medical Center; LeChauncy D. Woodard, Michael E. DeBakey VA Medical Center; Tracy Urech, Michael E. Sampling and survey methodology DeBakey VA Medical Center; Cassie Robinson, Michael 72 Confidence Intervals for Radio Ratings Estimators— E. DeBakey VA Medical Center; Laura A. Petersen, Baylor ◆ Richard Griffiths, Arbitron, Inc. College of Medicine

Health policy, epidemiology, public health 285 CC-L Street Bridge 81 Examination of Risk Factor and Health Condition Data Contributed Oral Poster Presentations— in National Consumer Surveys for Use in Public Health Communication Planning—◆William E. Pollard, CDC; Contributed DeAndrea Martinez, CDC Section on Health Policy Statistics 82 Who Donates Blood?—◆Richard A. Forshee, FDA; Chair(s): Lara Schmidt, RAND Corporation Mark O. Walderhaug, FDA

Health policy, epidemiology, public health Longitudinal data, repeated measurements, and 73 Peer Group Assignment for New Hospitals on meta-analysis Performance Comparison Report by Traditional and 83 Meta-Analytic Inference with Few Studies—◆Todd Bodner, Modern Classification Methods—◆Jacob Jen-Hao Cheng, Portland State University Maryland Hospital Association; Samuel Ogunbo, Maryland Hospital Association 74 Diabetes as a Potentially Disabling Condition: Studying Health policy, epidemiology, public health Supports to Prevent Unemployment, Health Decline, and 84 Union Effects on Health Insurance Coverage—◆Jongmook Reliance on Government Assistance—◆Tammy Tom, Choe, The University of Texas at Austin University of Hawaii

140 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

85 Estimating Household Income Percentiles from a Public 286 CC-L Street Bridge Health Survey Using Log-Linear Bootstrap Interpolation— Contributed Oral Poster Presentations— ◆Robert Feyerharm, Oklahoma State Department of Health Contributed Section on Nonparametric Statistics Spatial statistics, spatio-temporal modeling, GIS Chair(s): Lara Schmidt, RAND Corporation 86 Sample Size Requirement and Power Assessment in a Spatial Analysis—◆Qilong Yi, University of Ottawa; Yue Chen, University of Ottawa Semiparametric and nonparametric methods 93 Multivariate Information and Interaction—◆Nan L. Kong, Educational Testing Service Health policy, epidemiology, public health 94 Confidence Bands for the CDF When Sampling from a 87 Clustering Performance Data Across Measure Sets: An Finite Population—◆Jesse Frey, Villanova University Analysis of National Hospital Quality Measures Designated for the CMS Value-Based Purchasing Program—◆Samuel 95 A Modified Mantel Test for the Compound Symmetry Ogunbo, Maryland Hospital Association; Nikolas Matthes, Covariance Structure—◆Megan Duke, University of Central Quality Indicator Project; Jacob Jen-Hao Cheng, Maryland Oklahoma; Tracy Morris, University of Central Oklahoma; Hospital Association; Carlos Alzola, Data Insights Mark E. Payton, Oklahoma State University 96 Smoothing Spline with Incomplete Covariate Data— ◆Xiwen Ma, University of Wisconsin-Madison Sampling and survey methodology 97 Simultaneous Confidence Bands for the Trend in a 88 Development of a Quantitative Attitudes Instrument— Functional Data Set—◆David Degras, The University ◆Heibatollah Baghi, George Mason University of Chicago

Health policy, epidemiology, public health Bayesian statistics, hierarchical models 89 Predicting Wound Deterioration in Home Health Care 98 Hyper Dirichlet Processes for Graphical Models—◆Daniel Patients—◆Iordan Slavov, Visiting Nurse Service of New Heinz, Carnegie Mellon University

York; Carlin Brickner, Visiting Nurse Service of New York Tuesday 90 Association Between Health Insurance and Generalized Periodontal Disease in a Study Population of Gullah Applications and case studies African Americans with Diabetes—◆Nicole M. Marlow, 99 Applications of Spectral Kernel Methods—◆James Medical University of South Carolina; Elizabeth Slate, Sharpnack, Carnegie Mellon University Medical University of South Carolina; Jyotika Fernandes, Medical University of South Carolina; Carlos Salinas, Medical University of South Carolina Clinical Trial Designs 100 Rank Transforms and Tests of Interaction for Repeated 91 Physician-Level Quality Measurement: Using Control Measures Experiments with Various Covariance Charts with National Benchmarks to Identify Common Structures—◆Jennifer Bryan, Oklahoma Christian and Special Cause Variation in Patients’ Systolic Blood University; Mark E. Payton, Oklahoma State University Pressures—◆Gerald K. Arnold, American Board of Internal Medicine; Rebecca S. Lipner, American Board of Internal Medicine; Lorna A. Lynn, American Board of Internal Bayesian statistics, hierarchical models Medicine; Weifeng Weng, American Board of Internal 101 A Classification Algorithm for Finite Mixture Model— Medicine; Eric S. Holmboe, American Board of ◆Erum Marfani, University of Maryland, Baltimore County Internal Medicine 92 CMS Medicare Reimbursement for Quality Care: Will There Be an Unintended Downward Spiral for Linear models, GLMs, parametric methods Safety Net Hospitals?—◆Ronald Low, New York City 102 Detection of Interactions in Model Building: A Graphical Health and Hospitals Corporation; Shunsuke Ito, New Approach—◆William C. Bridges, Clemson University York City Health and Hospitals Corporation; Jiaying Wu, New York City Health and Hospitals Corporation; Caroline Jacobs, New York City Health and Hospitals Corporation; Raymond Gregory, New York City Health and Hospitals Corporation; Van Dunn, New York City Health and Hospitals Corporation; Ramanathan Raju, New York City Health and Hospitals Corporation

Washington, DC 141

GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

287 CC-L Street Bridge Invited Sessions Contributed Oral Poster Presentations— Contributed 10:30 a.m.–12:20 p.m. Section on Teaching of Statistics in the Health Sciences Chair(s): Lara Schmidt, RAND Corporation 289 CC-201 ■ Nonparametric Approaches for Computational statistics, numerical methods, simulation High-Dimensional Data—Invited 103 Bias-Corrected Estimation for Intraclass Correlation Biometrics Section, International Chinese Statistical Association, Coefficient—◆Eshetu G. Atenafu, Hospital for Sick Biopharmaceutical Section Children; Joseph Beyene, University of Toronto; Jemila S. Organizer(s): Annie Qu, University of Illinois at Urbana Champaign Hamid, Hospital for Sick Children Chair(s): Annie Qu, University of Illinois at Urbana Champaign

Statistical education, teaching, and training 10:35 a.m. Smoothing Spline Semiparametric Nonlinear 104 Sequencing and Mastering Preliminary Topics in Teaching Regression Models—◆Yuedong Wang, University of Sampling Distributions—◆Mark C. Fulcomer, University California, Santa Barbara; Chunlei Ke, Amgen, Inc. of Medicine and Dentistry of New Jersey; S. David Kriska, 11:05 a.m. Modeling the Dynamics of Gene Regulatory The Ohio State University; Marcia M. Sass, University of Network—◆Ping Ma, University of Illinois at Medicine and Dentistry of New Jersey; Maritza Jauregui, Urbana-Champaign The Richard Stockton College of New Jersey 11:35 a.m. Asymptotic Normality of Plug-In Level Set Estimates with Applications to Binary Classification—◆Wolfgang Polonik, University of California, Davis Special Presentation 12:05 p.m. Floor Discussion 10:30 a.m.–12:20 p.m. Tuesday 290 CC-150B 288 CC-102B ■ Stirring the Pot: Radical Ideas in Statistics ASA College Stat Bowl II—Other Education—Invited ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical Section on Statistical Education Association, International Indian Statistical Association Organizer(s): Peter Westfall, Texas Tech University Organizer(s): Stephanie Cano, The University of Texas at Chair(s): Lorrie L. Hoffman, Armstrong Atlantic State University San Antonio Chair(s): Stephanie Cano, The University of Texas at San Antonio 10:35 a.m. Losing the Distinction: From Traditional to Online to Hybrid Instruction—◆David Zeitler, Grand Valley State University 11:00 a.m. Change Agents for Teaching and Learning Statistics: The CATALST Project—◆Andrew Zieffler, The University of Minnesota

Washington, DC 143 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:25 a.m. All Models are Right … Most Are Useless— 11:25 a.m. Random Effect Specification/Misspecification in ◆Thaddeus Tarpey, Wright State University Spatial Modeling of Univariate and Multivariate 11:50 a.m. Fostering Statistics TA Development as Writing Health Data—◆Ying MacNab, The University of Instructors—◆Erin Blankenship, University of British Columbia Nebraska-Lincoln; Walter Stroup, University of 11:50 a.m. Spatial Random Effects to Assess Geographic Nebraska-Lincoln; Jennifer Green, University of Influences on Genetic Population Structure— Nebraska-Lincoln; Alison Friedow, University of ◆Lance A. Waller, Emory University; David C. Nebraska-Lincoln; Shari Stenberg, University of Wheeler, National Cancer Institute/Harvard School Nebraska-Lincoln of Public Health; Roman Biek, University of Glasgow; 12:15 p.m. Floor Discussion Leslie A. Real, Emory University 12:15 p.m. Floor Discussion

291 CC-150A ✪ Emerging Trends and Evidence in High- 293 CC-144B Dimensional ‘Omics’ Investigations—Invited ■ ✪ Social Network Analysis: Bridging Evidence Council of Chapters and Policy in Complex Environments—Invited Organizer(s): Gary L. Gadbury, Kansas State University Social Statistics Section, Section on Statistical Graphics, Section Chair(s): Gary L. Gadbury, Kansas State University on Government Statistics, Interface Foundation of North America Organizer(s): Jeffrey L. Herman, George Mason University Chair(s): Jeffrey L. Herman, George Mason University 10:35 a.m. Biostatistics’ Rise as an Empirical Science: Genomic Research as the Leavening Agent— ◆David B. Allison, The University of Alabama 10:35 a.m. Utilizing External Information in Social Networks— at Birmingham ◆David Marchette, Naval Surface Warfare Center 11:00 a.m. The Role of Permutation and Randomization Tests 11:00 a.m. The Use of Social Network Analysis in Support of in High-Dimensional Studies—◆Dan Nettleton, Federal Agencies—◆Elizabeth A. Conjar, George Iowa State University Mason University; Dan Horn, Booz Allen Hamilton 11:25 a.m. Inferring Causal Effects in High-Dimensional 11:25 a.m. Influence and Implications of Leadership Style Studies—◆Mark J. van der Laan, University of on Social Networks—◆Juliet Aiken, University of California, Berkeley Maryland; Beng-Chong Lim, Nanyang Technological 11:50 a.m. Disc: Heping Zhang, Yale University University; Paul Hanges, University of Maryland 12:10 p.m. Floor Discussion 11:50 a.m. Disc: Stanley Wasserman, Indiana University 12:10 p.m. Floor Discussion

292 CC-209C ■ Random Effect Specification/Misspecification 294 CC-202A in Spatial/Spatio-Temporal Health Modeling— ■ ✪ Communicating Statistical Concepts to a Invited Lay Audience—Invited Section on Statistics and the Environment, Section on Bayesian Committee on Excellence in Statistical Reporting, Social Statistics Statistical Science, SSC Section, Section on Government Statistics Organizer(s): Andrew B. Lawson, Medical University of South Organizer(s): Telba Irony, FDA Carolina Chair(s): Telba Irony, FDA Chair(s): Brian J. Reich, North Carolina State University 10:35 a.m. Presentation and Interpretation of Statistical Results 10:35 a.m. Adding Spatially Correlated Errors Can Mess Up to Track Economic Developments—◆John Berry, the Fixed Effect You Love—◆James Hodges, The Bloomberg News University of Minnesota; Brian J. Reich, North 11:05 a.m. Statistical Issues in ‘The New York Times’— Carolina State University ◆Donald A. Berry, The University of Texas M.D. 11:00 a.m. Random Effect Seepage and Identification Anderson Cancer Center; Gina Kolata, The New Problems in Bayesian Spatial Health Data York Times Modeling—◆Andrew B. Lawson, Medical University 11:35 a.m. The Prosecutor’s Fallacy—◆Mark Buchanan, of South Carolina; Sumirathan Rasathurai, University Independent Science Writer of South Carolina 12:05 p.m. Floor Discussion

144 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

295 CC-202B 297 CC-143A ✪ Causal Inference for Longitudinal Data— ✪ Composite Likelihood Methodology and Invited Applications—Invited ENAR, Section on Bayesian Statistical Science, International SSC, International Indian Statistical Association Indian Statistical Association, Biometrics Section, Organizer(s): Peter X.K. Song, University of Michigan Biopharmaceutical Section Chair(s): Xin Gao, York University Organizer(s): Tyler VanderWeele, The University of Chicago Chair(s): Tyler VanderWeele, The University of Chicago 10:35 a.m. Composite Likelihood Theory—◆Nancy Reid, University of Toronto 10:35 a.m. Causal Inference for Continuous Time Longitudinal 11:00 a.m. Composite Likelihood EM Algorithm in High- Data When Covariates Are Observed Only at Dimensional Data Analysis—◆Peter X.K. Song, Discrete Times—◆Dylan Small, University of University of Michigan Pennsylvania; Mingyuan Zhang, University of Pennsylvania; Marshall Joffe, University 11:25 a.m. Pairwise Likelihood Method for Clustered of Pennsylvania Longitudinal Binary Data—Grace Yi, University of Waterloo; ◆Leilei Zeng, Simon Fraser University; 11:00 a.m. Estimation of Marginal Structural Models When Richard Cook, University of Waterloo Parametric Rates Cannot Be Obtained— ◆James Robins, Harvard School of Public Health 11:50 a.m. Disc: Grace Yi, University of Waterloo 11:25 a.m. Bayesian Inference About Mediation in Longitudinal 12:10 p.m. Floor Discussion Intervention Trials—◆Joseph W. Hogan, Brown University; Shira Dunsiger, Brown University; Bess Marcus, Brown University 11:50 a.m. Disc: Constantine Frangakis, Johns Hopkins 298 CC-207B University Topics in Financial Statistics—Invited IMS

12:10 p.m. Floor Discussion Tuesday Organizer(s): Rong Chen, Rutgers University Chair(s): Rong Chen, Rutgers University

296 CC-207A 10:35 a.m. Risk Assessment and Asset Allocation with ✪ New Applications of Statistics in Genetics/ Gross Exposure Constraints for Vast Portfolios— Genomics—Invited ◆Jianqing Fan, Princeton University; Jingjin Zhang, Princeton University; Ke Yu, Princeton University IMS, Section on Bayesian Statistical Science, Biopharmaceutical Section 11:05 a.m. Topics in Financial Statistics—◆Ruey S. Tsay, Organizer(s): Wei Pan, The University of Minnesota The University of Chicago; Jianqing Fan, Princeton University; Yingying Fan, University of Chair(s): Wei Pan, The University of Minnesota Southern California

10:35 a.m. Spectral Graph Theory and Ancestry in Genome- Wide Association Studies—◆Kathryn Roeder, Carnegie Mellon University; Ann Lee, Carnegie Mellon University; Diana Luca, Carnegie Mellon University 11:05 a.m. Modeling Dependent Gene Expression—◆Peter Müller, The University of Texas M.D. Anderson Cancer Center; Donatello Telesca, The University of Texas M.D. Anderson Cancer Center; Giovanni Parmigiani, Johns Hopkins University 11:35 a.m. Methods for Identifying the Genetic Variants Associated with High-Order Expression Modules— ◆Hongzhe Li, University of Pennsylvania 12:05 p.m. Floor Discussion at the Walter E. Washington Convention Center Saturday, 12:00 p.m. – 5:30 p.m. Sunday–Wednesday, 9:00 a.m. – 5:30 p.m. Thursday, 7:30 a.m. – 10:00 a.m.

Washington, DC 145 residentialASA Address P & AwardsSession Tuesday, August 4, 8:00 p.m. – 9:30 p.m. Walter E. Washington Convention Center, Ballrooms A and B

Sally Morton ASA President

Is your associate, professor, student, colleague, friend, or organization being recognized at the Joint Statistical Meetings in Washington, DC? 

Samuel S. Edward C. Gertrude M. W. J. Youden Gottfried E. Noether Wilks Bryant Cox Award in Lab Awards Memorial Scholarship Scholarship Testing Award

★ Statistics in Chemistry Award ★ ASA Fellows ★ Founders Award ★ Outstanding Statistical Application Award ★ Statistical Partnerships among Academe, Industry, and Government (SPAIG) Award ★ Waller Education Award ★ W. J. Dixon Award for Excellence in Statistical Consulting

Plan to attend the ASA Presidential Address and Awards Session for the recognition of the ASA’s most distinguished members. GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:35 a.m. Testing and Detecting Jumps Based on a Discretely Observed Process—◆Yingying Fan, University Topic-Contributed Sessions of Southern California; Jianqing Fan, 10:30 a.m.–12:20 p.m. Princeton University 12:05 p.m. Floor Discussion 301 CC-142 Survey Frame Quality and Coverage— Topic-Contributed 299 CC-158A Section on Survey Research Methods Making Research Data Public: Intelligible or Just Organizer(s): Xijian Liu Liu, U.S. Census Bureau Available?—Invited Chair(s): James Farber, U.S. Census Bureau Section on Statistical Consulting, National Institute of Statistical Sciences, Social Statistics Section, Section on Government 10:35 a.m. A National Evaluation of Coverage for a Sampling Statistics Frame Based on the Master Address File— Organizer(s): Linda J. Young, University of Florida ◆Clifford Loudermilk, U.S. Census Bureau Chair(s): Alan F. Karr, National Institute of Statistical Sciences 10:55 a.m. Content and Coverage Quality of a Commercial Address List as a National Sampling Frame for ◆ 10:35 a.m. Data-Sharing in the Field of Economics and the Household Surveys— Timothy Kennel, U.S. Census Role of Academic Journals—◆P.J. Glandon, Bureau; Mei Li, U.S. Census Bureau Vanderbilt University; John Siegfried, 11:15 a.m. Examining Blocks with Lister Error in Area Listing— Vanderbilt University ◆Aliza Kwiat, U.S. Census Bureau 10:55 a.m. Data Management and Availability in the Earth 11:35 a.m. Impact of Master Address File Coverage on Survey Sciences—◆Richard W. Carlson, Carnegie Estimates—◆Xijian Liu Liu, U.S. Census Bureau Institution of Washington 11:55 a.m. Disc: Vincent G. Iannacchione, RTI International 11:15 a.m. Implicit Challenges to Statistics in Making Research

12:15 p.m. Floor Discussion Tuesday Data Public—◆Nell Sedransk, National Institute of Statistical Sciences 11:35 a.m. Data Sharing from the Viewpoint of a Scholarly Journal—◆Katrina Kelner, AAAS 302 CC-149A 11:55 a.m. Data Sharing in Forensic Science and the Impact on ■ ✪ Frontiers in Statistical Applications to the Legal System—◆Edward Ungvarsky, The Public Marketing Problems—Topic-Contributed Defender Service for the District of Columbia Section on Statistics and Marketing 12:15 p.m. Floor Discussion Organizer(s): Bani K. Mallick, Texas A&M University Chair(s): Bani K. Mallick, Texas A&M University

10:35 a.m. Attitudes Toward Firm and Competition: How Do Invited Panels 10:30 a.m.–12:20 p.m. They Matter for Customer Relationship Marketing Activities?—◆Rajkumar Venkatesan, University of Virginia; Reinartz Werner, University of Cologne; 300 CC-101 Nalini Ravishanker, University of Connecticut ■ ✪ The Role of Statisticians in 10:55 a.m. Model-Based Graph Partitioning with Applications Decisionmaking—Invited to Marketing—◆Eric T. Bradlow, The Wharton The American Statistician, Social Statistics Section School; Sam K. Hui, Leonard N. Stern School Organizer(s): John Stufken, The University of Georgia of Business Chair(s): John Stufken, The University of Georgia 11:15 a.m. Investigating Cross-Country Interaction in New Product Diffusion—◆Debabrata (Debu) Talukdar, Panelists: ◆Stephen Pierson, ASA State University of New York at Buffalo; Brian Hartman, Texas A&M University; Bani K. Mallick, ◆Simon Sheather, Texas A&M University Texas A&M University ◆Frank Rockhold, GlaxoSmithKline 11:35 a.m. Cross-Channel and Advertising Effects in the ◆Guy F. Caruso, Center for Strategic and Hierarchy of Consumer Decisionmaking— International Studies Venkatesh Shankar, Texas A&M University; ◆ 12:15 p.m. Floor Discussion Tarun Kushwaha, The University of North Carolina at Chapel Hill

Washington, DC 147 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:55 a.m. Beating the Average with Conditional Averages: 11:15 a.m. Sparse Bayes Learning by Annealing Entropy— Target Selection Using Geo-Demographic ◆Ryo Yoshida, Institute of Statistical Mathematics; Joint Distributions—◆K. Sudhir, Yale School of Mike West, Duke University Management; Jason Duan, The University of Texas at 11:35 a.m. On the Primal and Dual Sparsity of Structured Austin; Sachin Sancheti, Yale School of Management Input/Output Models—◆Eric Xing, Carnegie 12:15 p.m. Floor Discussion Mellon University 11:55 a.m. Bayes and Empirical-Bayes Multiplicity Adjustment in the Variable-Selection Problem—◆James Scott, Duke University 303 CC-158B 12:15 p.m. Floor Discussion Forecasting and Real-Time Data— Topic-Contributed Business and Economic Statistics Section Organizer(s): Tatevik Sekhposyan, The University of North Carolina 305 CC-148 at Chapel Hill ■ Predictive and Prequential Statistics— Chair(s): Silvia Goncalves, University of Montreal Topic-Contributed Section on Risk Analysis 10:35 a.m. Revisions to PCE Inflation Measures: Implications Organizer(s): Bertrand Clarke, The University of British Columbia/ for Monetary Policy—◆Dean Croushore, University University of Miami of Richmond Chair(s): Bertrand Clarke, The University of British Columbia/ 10:55 a.m. Has Models’ Forecasting Performance for US University of Miami Output Growth and Inflation Changed Over Time, and When?—◆Tatevik Sekhposyan, The University 10:35 a.m. Prequential Probability: An Overview—◆Vladimir of North Carolina at Chapel Hill; Barbara Rossi, Vovk, Royal Holloway, University of London Duke University 10:55 a.m. Catching Up Faster by Switching Sooner: A 11:15 a.m. Calibration and Resolution Diagnostics for Bank of Prequential Solution to the AIC-BIC Dilemma— England Density Forecasts—◆Simon van Norden, ◆Tim van Erven, Centrum Wiskunde & Informatica HEC Montréal; John W. Galbraith, McGill University 11:15 a.m. Sequential Prediction Using Median Stacking— 11:35 a.m. Nested Forecast Model Comparisons: A New ◆Chi Wai Yu, The University of British Columbia Approach to Testing Equal Accuracy—◆Michael McCracken, Federal Reserve Bank of Saint Louis 11:35 a.m. Statistical Expression Deconvolution from Mixed Tissue Samples and Relevance to Biomarker 11:55 a.m. Why Do So Few Macroeconomic News Discovery—◆Jennifer L. Clarke, University of Announcements Have a Significant Price Impact Miami; Marc E. Lippman, University of Miami; on Asset Prices?—◆Chiara Scotti, Federal Reserve J. Seo, University of Miami Board; Thomas Gilbert, University of Washington; Georg Strasser, Boston College; Clara Vega, Federal 11:55 a.m. Selection of Copy Number Variation Drives Reserve Board Tumor-Specific Networks—◆Eric Schadt, Rosetta Inpharmatics 12:15 p.m. Floor Discussion 12:15 p.m. Floor Discussion

304 CC-208B ■ Sparsity and Structure in Multivariate 306 CC-159B ■ Modeling—Topic-Contributed Experimental Design for Generalized Linear Models—Topic-Contributed Section on Bayesian Statistical Science Section on Physical and Engineering Sciences, Section on Organizer(s): Mike West, Duke University Quality and Productivity Chair(s): Adrian Dobra, University of Washington Organizer(s): Anthony Atkinson, London School of Economics Chair(s): Anthony Atkinson, London School of Economics 10:35 a.m. Identifying Repeated Observations in the Presence of Sparsity and Distortion: A Case Study in Proteomics—◆Joseph E. Lucas, Duke Institute for 10:35 a.m. Blocked Experimental Designs for a Non- Genome Science and Policy Normal Response—◆Dave Woods, University of Southampton; Peter van de Ven, TNO Quality of Life 10:55 a.m. Nonparametric Mixtures of Nonparametric Mixtures for Sparse Non-Gaussian Density Estimation with 10:55 a.m. Sequential Design of Experiments for GLMs— Application to Flow Cytometry—◆Daniel Merl, ◆David M. Steinberg, Tel Aviv University; Duke University Hovav Dror, Tel Aviv University

148 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:15 a.m. Adaptive Experimental Designs for Determining the 11:15 a.m. Source Term Estimation with Expensive Optimum Factor Level with Trinomial Responses— Likelihoods—◆Nathan Green, Defense Science ◆Barbara Bogacka, Queen Mary University and Technology Laboratory of London 11:35 a.m. Bayes Filtering for Spatio-Temporal Poisson Cluster 11:35 a.m. On Locally Optimal Designs for Generalized Linear Point Processes—◆Daniel E. Clark, Heriot-Wat Models with Group Effects—◆Min Yang, University University; Ba Tuong Vo, University of Western of Missouri-Columbia Australia; Mark Briers, QinetiQ; Ba-Ngu Vo, The 11:55 a.m. Disc: Randall Tobias, SAS Institute Inc. University of Melbourne 12:15 p.m. Floor Discussion 11:55 a.m. Disc: Francois Septier, University of Cambridge 12:15 p.m. Floor Discussion

307 CC-204C ■ Missing Data Handling in Medical Device 309 CC-141 Clinical Trials—Topic-Contributed ■ ✪ Improving Census Data for Demographic Biopharmaceutical Section, Biometrics Section Analysis—Topic-Contributed Organizer(s): Ning Li, FDA Section on Government Statistics, Social Statistics Section Chair(s): Terri K. Johnson, FDA Organizer(s): Katie Genadek, The University of Minnesota Chair(s): Michael Davern, University of Minnesota 10:35 a.m. Missing Data Handling in Medical Device Clinical Trials—◆Xu Yan, FDA; Shiowjen Lee, FDA; Heng Li, 10:35 a.m. Decennial Census Data at the Census Bureau’s FDA; Ning Li, FDA Research Data Centers—◆Todd Gardner, 10:55 a.m. Sensitivity Analysis in Missing Value Imputation to U.S. Census Bureau Assess Quantitative Coronary Angiograph Data 10:55 a.m. Errors in Age and Sex Data in the Census ◆ ◆

in Stent Trials— Hong Wang, Boston Scientific Bureau’s Public Use Microdata Samples— Betsey Tuesday Corporation; Heather Bai, Boston Scientific Stevenson, University of Pennsylvania; Trent Corporation; Joseph Bero, Boston Scientific Alexander, Minnesota Population Center; Michael Corporation Davern, University of Minnesota 11:15 a.m. Sensitivity Analysis for Continuous Endpoints 11:15 a.m. Constructing Synthetic Samples Using Simulated in Two-Arm Medical Device Trials—◆Maria C. Annealing—Glen Meeden, The University of Alfaro, Boston Scientific Corporation; Joseph Bero, Minnesota; ◆Hua Dong, Amgen, Inc. Boston Scientific Corporation; Gina Garding, Boston 11:35 a.m. Weighting the Matched Current Population Survey Scientific Corporation Respondents—◆Katie Genadek, The University 11:35 a.m. Reverse Regression in Randomized Clinical of Minnesota Trials with Nonignorable Nonresponse— 11:55 a.m. Disc: Jacob A. Klerman, Abt Associates Inc. ◆Zhiwei Zhang, FDA 12:15 p.m. Floor Discussion 11:55 a.m. Disc: Gang Chen, Johnson & Johnson 12:15 p.m. Floor Discussion

310 CC-144C ■ Reliability Issues in the DoD: A Session in 308 CC-206 Honor of Paul Ellner—Topic-Contributed ■ ✪ Bayesian Tracking Problems— Section on Statistics in Defense and National Security Topic-Contributed Organizer(s): Aparna Huzurbazar, Los Alamos National Laboratory Section on Bayesian Statistical Science Chair(s): Aparna Huzurbazar, Los Alamos National Laboratory Organizer(s): Simon Godsill, University of Cambridge Chair(s): Julien Cornebise, Statistical and Applied Mathematical 10:35 a.m. Redefining the Role of Statistical Science in Sciences Institute Defense and National Security—◆Duane Steffey, Exponent, Inc. 10:35 a.m. Dynamic Spatial Mixture Modeling and Its 10:55 a.m. Ballistic Imaging—◆John E. Rolph, University of Application in Bayesian Tracking for Cell Southern California Fluorescent Microscopic Imaging—◆Chunlin Ji, Duke University; Mike West, Duke University 11:15 a.m. Reliability Growth Planning and Implementation of the ASA(ALT) Reliability Test Threshold—◆J. Brian 10:55 a.m. Variational Mean Field Approach to Efficient Hall, U.S. Army Test and Evaluation Command Multitarget Tracking—◆Ernest Fokoue, Kettering University 11:35 a.m. Adventures in Reliability Growth Modeling— ◆Arthur Fries, Institute for Defense Analyses

Washington, DC 149 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:55 a.m. An Unsung Hero in Reliability Growth—◆James 10:55 a.m. Flexible Bayesian Human Fecundability Models Streilein, U.S. Army Test and Evaluation Command; with Generalized t-Link—◆Sungduk Kim, National J. Brian Hall, U.S. Army Test and Evaluation Institute of Child Health and Human Development; Command Rajeshwari Sundaram, Eunice Kennedy Shriver 12:15 p.m. Floor Discussion National Institute of Child Health and Human Development, NIH; Germaine M. Louis, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH 311 CC-209A 11:15 a.m. An Association Model for Longitudinal Intercourse Data with Informative Censoring via Time-to- Statistical Methods in Molecular Evolution— Conception—◆Kirsten J. Lum, Eunice Kennedy Topic-Contributed Shriver National Institute of Child Health and Human WNAR, Section on Bayesian Statistical Science Development, NIH; Rajeshwari Sundaram, Eunice Organizer(s): Erik W. Bloomquist, University of California, Kennedy Shriver National Institute of Child Health Los Angeles and Human Development, NIH; Germaine M. Louis, Chair(s): Jennifer Tom, University of California, Los Angeles Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH

10:35 a.m. Many-Core Algorithms for Statistical 11:35 a.m. Estimating Diagnostic Accuracy of Linear Phylogenetics—◆Marc A. Suchard, University of Combination of Multiple Biomarkers While ◆Neil J. California, Los Angeles; Andrew Rambaut, University Accounting for Limits of Detection— of Edinburgh Perkins, National Institute of Child Health and Human Development; Enrique Schisterman, 10:55 a.m. Joint Bayesian Estimation of Phylogeny and National Institutes of Health Sequence Alignment—◆Heejung Shim, University Disc: Zhen Chen, The Eunice Kennedy Shriver of Wisconsin-Madison; Bret Larget, University of 11:55 a.m. Wisconsin-Madison National Institute of Child Health and Human Development 11:15 a.m. Unifying Vertical and Nonvertical Evolution—◆Erik W. Bloomquist, University of California, Los Angeles 12:15 p.m. Floor Discussion 11:35 a.m. Statistical Properties of Site-to-Site Rate Heterogeneity Estimators—◆Spencer V. Muse, North Carolina State University; Frank Mannino, GlaxoSmithKline 11:55 a.m. The Lineage Model for Metagenomic Clonal Contributed Sessions Population Structure—◆John D. O’Brien, University of Bristol 10:30 a.m.–12:20 p.m. 12:15 p.m. Floor Discussion 313 CC-159A ■ Applied Regression Techniques—Contributed Section on Physical and Engineering Sciences, Section on 312 CC-209B Quality and Productivity ■ Statistical Methods in Reproductive Chair(s): Joe H. Sullivan, Mississippi State University Epidemiology—Topic-Contributed Section on Statistics in Epidemiology, Social Statistics Section, 10:35 a.m. Interior Analysis in Multiple Linear Regression— Biometrics Section, Section on Bayesian Statistical Science ◆John F. Wellington, Indiana University Purdue Organizer(s): Rajeshwari Sundaram, Eunice Kennedy Shriver University Fort Wayne; Stephen A. Lewis, Mongrel National Institute of Child Health and Human Development, NIH Works, Inc. Chair(s): Rajeshwari Sundaram, Eunice Kennedy Shriver National 10:50 a.m. Comparison of Methods to Understand the Link Institute of Child Health and Human Development, NIH Between Climate Variability and Hurricane Counts— ◆Roshanak Nateghi, Johns Hopkins University; 10:35 a.m. Enriched Stick-Breaking Processes for Functional Seth D. Guikema, Johns Hopkins University; Steven Data—◆Bruno Scarpa, Università di Padova; David Quiring, Texas A&M University Dunson, Duke University 11:05 a.m. Comparison of Risks of Generalized Ridge Regression Estimators and Least Square Estimators Averaged Over the Linex Loss Function—◆Marvin H.J. Gruber, Rochester Institute of Technology

150 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:20 a.m. Modeling Approaches Applied to Pulse Jet Mixing 11:50 a.m. The Integration of the SAS Certificate Program Into Data - Part 1—◆Greg Piepel, Pacific Northwest the Classroom Teaching Environment—◆Jun Lu, National Laboratory; Brett Amidan, Pacific Northwest American University; Monica Jackson, American National Laboratory; Alejandro Heredia Langner, University; Mary Gray, American University; Pacific Northwest National Laboratory; Perry Meyer, Helena Solana, American University Pacific Northwest National Laboratory; Beric Wells, 12:05 p.m. On the Topic of Assessment Cheating Detection— Pacific Northwest National Laboratory; James Fort, ◆Weimin Zhang, American Institutes for Research; Pacific Northwest National Laboratory; Judith Jiang Tao, American Institutes for Research Bamberger, Pacific Northwest National Laboratory; William Kuhn, Pacific Northwest National Laboratory 11:35 a.m. Modeling Approaches Applied to Pulse Jet Mixing Data - Part 2—◆Brett Amidan, Pacific Northwest 315 CC-102A National Laboratory; Greg Piepel, Pacific Northwest ■ National Laboratory; Alejandro Heredia-Langner, Analysis of Prevalence and Risk in Pacific Northwest National Laboratory; Perry Meyer, Epidemiologic Studies—Contributed Pacific Northwest National Laboratory; Beric Wells, Section on Statistics in Epidemiology Pacific Northwest National Laboratory; James Fort, Chair(s): Sowmya Rao, MGH Biostatistics Center Pacific Northwest National Laboratory; Judith Bamberger, Pacific Northwest National Laboratory; William Kuhn, Pacific Northwest National Laboratory 10:35 a.m. Variance Estimation of Partial Population Attributable Fraction and Its Applications— 11:50 a.m. Prediction-Based Model Selection—◆Adam L. ◆Jungwha Lee, University of Illinois at Chicago; Pintar, Iowa State University; Christine Anderson- Sally Freels, University of Illinois at Chicago; Dulal K. Cook, Los Alamos National Laboratory; Huaiqing Bhaumik, University of Illinois at Chicago Wu, Iowa State University 10:50 a.m. A Simulation Study of Health Disparity Indexes: 12:05 p.m. Simple Linear Regression When Both Variables Are How Do They Depend on Prevalence?—◆Stuart Random—◆Christopher Tong, Merck & Co., Inc.; Gansky, University of California, San Francisco; Shubing Wang, Merck & Co., Inc. Nancy F. Cheng, University of California, San Tuesday Francisco; Gloria Mejia, University of California, San Francisco 11:05 a.m. A Fresh Look at the Discriminant Function 314 CC-153 Approach for Estimating Crude or Adjusted Odds Educational Accreditation, Guidelines, and Ratios—◆Robert H. Lyles, Emory University; Certification—Contributed Ying Guo, Emory University; Andrew N. Hill, CDC Section on Statistical Education 11:20 a.m. Bias-Corrected Inference for the Conditional Chair(s): Jennifer J. Kaplan, Michigan State University Logistic Regression—◆Jenny Sun, Texas A&M University

10:35 a.m. Teaching Business Statistics: An Accreditation 11:35 a.m. Interval Estimation of Risk Difference for Clustered Standards Perspective—◆Bodapati V.R. Gandhi, Data—◆Tasneem Zaihra, University of Windsor; University of Puerto Rico Sudhir R. Paul, University of Windsor 10:50 a.m. Putting BIO2010 Into Practice: Collaborations for 11:50 a.m. On the Confidence Intervals of Attributable Risk Statistics and Biology—◆Debra Hydorn, University Using Delta and Bootstrap Methods for a Cross- of Mary Washington Sectional Sampling Design with Confounders— ◆Tanweer J. Shapla, Eastern Michigan University; 11:05 a.m. Fostering Change in College Students’ Khairul Islam, Wayne State University Mathematical and Statistical Dispositions Through GAISE—◆Caroline Ramirez, University of California, 12:05 p.m. Some Errors Frequently Occurring in Estimating the Davis/California State University Required Sample Size in Cohort and Case-Control Studies—◆Peng T. Liu, FDA 11:20 a.m. Statistical Literacy and Attitudes Over Two Semesters of Required Business Statistics— ◆Amy L. Phelps, Duquesne University 11:35 a.m. GAISE Between the Lines: Criteria and a Rubric 316 CC-155 for Assessing Introductory Statistics Textbooks— Deborah Rumsey, The Ohio State University; ◆W. Teaching Tools for Basic Statistical Literacy in Robert Stephenson, Iowa State University; Amy G. the Health Sciences—Contributed Froelich, Iowa State University; Jared Schuetter, Section on Teaching of Statistics in the Health Sciences The Ohio State University Chair(s): Penelope S. Pekow, University of Massachusetts Amherst

10:35 a.m. Seeing Is Believing—◆Paul L. Stephenson, Grand Valley State University; Mary Richardson, Grand Valley State University Washington, DC 151 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

10:50 a.m. Use of Interesting Examples in Teaching an 12:05 p.m. Are We Adjusting Response Rates or Survey Introductory Biostatistics Course: 3 Controversies Variables? The Effects of Multiple Auxiliary Variables and 2 Parodoxes—◆Harry J. Norton, Carolinas on Nonresponse Adjustment—◆Frauke Kreuter, Medical Center; George Divine, Henry Ford Hospital University of Maryland; Kristen Olson, University 11:05 a.m. Designing Curricula Supporting the Development of Nebraska-Lincoln of Statistical Literacy—◆Rochelle E. Tractenberg, Georgetown University Medical Center 11:20 a.m. Teaching Statistics to DNP and PhD Nursing Students: The Opportunities and Challenges of a 318 CC-208A Distance-Learning Format—◆Mary Kay Rayens, Dimension Reduction Using PCA and PLS— University of Kentucky Contributed 11:35 a.m. On Developing a Master’s-Level Course in Section on Statistical Learning and Data Mining, Interface Biostatistical Consulting—◆Stephen W. Looney, Foundation of North America Medical College of Georgia; Jennifer L. Waller, Chair(s): Prasenjit Kapat, The Ohio State University Medical College of Georgia 11:50 a.m. Adding a Small Unit on QIS to a Lower-Division 10:35 a.m. Statistical Inference for High-Dimensional Data— Undergraduate Concept–Oriented Statistical ◆Yingli Qin, Iowa State University Literacy Class for Nursing Majors—◆Robert D. Curley, University of Central Oklahoma 10:50 a.m. Data Fusion and Inference with Disparate Feature Spaces Using Iterative Denoising Trees— 12:05 p.m. Floor Discussion ◆Bennett A. Landman, Johns Hopkins University; Youngser Park, Johns Hopkins University; Zhiliang Ma, Johns Hopkins University; Carey E. Priebe, Johns Hopkins University 317 CC-143C 11:05 a.m. Penalized Rotation of a Subset of Principal ■ Methods for Ignorable and Nonignorable Components—◆Trevor Park, University of Florida Nonresponse—Contributed 11:20 a.m. An Iterative Thresholding Approach for Sparse Section on Survey Research Methods PCA—◆Zongming Ma, Stanford University Chair(s): Jana Asher, Carnegie Mellon University 11:35 a.m. On Clustering fMRI Time Series Using Potts and Mixture Regression Models—◆Jing Xia, 10:35 a.m. Analysis of Nonresponse in a Social Survey with University of Illinois at Urbana-Champaign; Feng the Sharp Bounds Method—◆Yury Gubman, Israeli Liang, University of Illinois at Urbana-Champaign; Central Bureau of Statistics; Charles F. Manski, Yongmei (Michelle) Wang, University of Illinois at Northwestern University; John V. Pepper, University Urbana-Champaign of Virginia; Dmitri Romanov, Israeli Central 11:50 a.m. Robust Dimension Reduction PLS Method for Bureau of Statistics Classification—Nedret Billor, Auburn University; 10:50 a.m. Propensity Score Methodology for Nonignorable ◆Asuman Turkman, The Ohio State University Nonresponse—◆Leigh Ann H. Starcevich, 12:05 p.m. Floor Discussion Oregon State University; Virginia Lesser, Oregon State University 11:05 a.m. Responsive Design for Random Digit Dial Surveys Using Auxiliary Survey Process Data and 319 CC-149B Contextual Data—◆Sunghee Lee, University of Advances in Robust Methods and Anomaly California, Los Angeles Detection—Contributed 11:20 a.m. The Rao, Hartley, and Cochran Scheme with Section on Statistical Computing, Interface Foundation of Dubious Random Nonresponse in Survey North America Sampling—◆Sarjinder Singh, Texas A&M Chair(s): James A. Shine, U.S. Army Topographic Engineering Center University-Kingsville; Maria del Mar Rueda Garcia, Universidad de Granada; Antonio Arcos, Universidad de Granada; Raghunath Arnab, 10:35 a.m. Robust Inference in Conditionally Linear Nonlinear University of Botswana Regression Models—◆Harshini Fernando, 11:35 a.m. Propensity Score Matching to Correct Telephone Purdue University North Central Surveys for Cell Phone Nonresponse— 10:50 a.m. Functional Linear Model—◆Robertas Gabrys, ◆John Bremer, Harris Interactive Utah State University; Piotr Kokoszka, Utah State 11:50 a.m. Simulation Studies of a Latent-Class Selection University; Lajos Horvath, The University of Utah Model for Nonignorable Missing Data— ◆Hyekyung Jung, Texas Tech University; Joseph L. Schafer, Penn State University; Byungtae Seo, Texas Tech University

152 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:05 a.m. Anomaly Detection Using Scan Statistics on 321 CC-144A ◆ Time Series Hypergraphs— Youngser Park, ■ ✪ Johns Hopkins University; Carey E. Priebe, Advances in Government Statistical Johns Hopkins University; David Marchette, Agencies Around the World—Contributed Naval Surface Warfare Center; Abdou Youssef, Section on Government Statistics The George Washington University Chair(s): Robert Lussier, Statistics Canada 11:20 a.m. A High Breakdown Approach for Fitting Nonlinear Regression—◆Dost M. Khan, University of 10:35 a.m. The Current State of the Microdata Analysis System Peshawar; Douglas M. Hawkins, The University at the Census Bureau—◆Jason Lucero, U.S. Census of Minnesota Bureau; Laura Zayatz, U.S. Census Bureau 11:35 a.m. Detecting Anomalous Documents in a Corpus- 10:50 a.m. The Impact of Cleansing Procedures for Overlaps Driven Language Model—◆Kristin Yancey, Naval on Estimation Results: Evidence for German Surface Warfare Center; Elizabeth L. Hohman, Naval Administrative Data—◆Patrycja Scioch, Institute Surface Warfare Center for Employment Research 11:50 a.m. Developing Median Regression for SURE Models— 11:05 a.m. Comparisons of Methodological Approaches to Ghazi Shukur, Vaxjo University; ◆Zangin A.A. the Follow-Up Operation for Business Surveys— Zeebari, Vaxjo University ◆Hansheng Xie, Statistics Canada; Serge Godbout, 12:05 p.m. Efficient Uk’s Redescending M-estimator for Robust Statistics Canada; Sungjin Youn, Statistics Canada Regression—◆Umair Khalil, University of Peshawar; 11:20 a.m. Benefits and challenges of supporting in-house Fazli Qadir, University of Peshawar; Amjad Ali, analysis of data in a statistical agency—◆Jane F. University of Peshawar Gentleman, National Center for Health Statistics 11:35 a.m. Puerto Rico Institute of Statistics: Starting from 320 CC-157 Scratch—◆Mario Marazzi, Puerto Rico Institute of Statistics; Carlos Toro-Vizcarrondo, University of Nonparametric Testing—Contributed Puerto Rico Section on Nonparametric Statistics

11:50 a.m. Evaluating the Likely Efficacy of Paid Tax Preparer Tuesday Chair(s): Jeffrey Hart, Texas A&M University Regulation—◆Anna Maria Ortiz, U.S. Government Accountability Office 10:35 a.m. A Note on Analysis of Means-Type Nonparametric 12:05 p.m. Floor Discussion Tests for Homogeniety of Variances—◆Saad T. Bakir, Alabama State University 10:50 a.m. Comparing Two Groups Based on Partial Orderings: Three Matched Pair Designs— 322 CC-203A ◆Jun Cao, Temple University; Woollcott Smith, Oncology Trials—Contributed Temple University Biometrics Section 11:05 a.m. Robust Heteroscedastic MANOVA: Asymptotics Chair(s): Leslie McClure, University of Alabama at Birmingham and Small Sample Approximations—◆Solomon W. Harrar, The University of Montana; Arne C. Bathke, University of Kentucky 10:35 a.m. ‘Dose-Establishment’ Designs for Phase I/II Cancer Immunotherapy Trials—◆Karen Messer, University 11:20 a.m. A Wilcoxon Rank-Sum Test for Clustered Data— of California, San Diego ◆Sundar Natarajan, VA New York Harbor Healthcare System; Stuart Lipsitz, Brigham 10:50 a.m. Proportional Odds Model for Dose-Finding Clinical and Women’s Hospital Trial Designs with Ordinal Toxicity Grading—◆Emily M. Van Meter, Medical University of South Carolina; 11:35 a.m. Heterogeneous Compound Symmetry in a Elizabeth Garrett-Mayer, Medical University of Nonparametric Analysis of Block Designs— South Carolina; Dipankar Bandyopadhyay, Medical ◆Angela Schörgendorfer, University of Kentucky; University of South Carolina Laurence V. Madden, The Ohio State University; Arne C. Bathke, University of Kentucky 11:05 a.m. Simon’s Two-Stage Design for Phase II Cancer Clinical Trials with Two Distributions as 11:50 a.m. A Nonparametric Version of Wilks’ Lambda: Hypotheses—◆Junfeng Liu, University of Medicine Asymptotics, Approximations, and Permutations— and Dentistry of New Jersey; Yong Lin, University ◆Chunxu Liu, University of Kentucky; Arne C. of Medicine and Dentistry of New Jersey; Weichung Bathke, University of Kentucky; Solomon W. J. Shih, University of Medicine and Dentistry of Harrar, The University of Montana New Jersey 12:05 p.m. Greenhouse-Geisser Adjustment and the ANOVA- 11:20 a.m. Reinforcement Learning Treatment Strategies Type Statistic: Distant Cousins or Twins?— Based on Support Vector Regressions in a ◆Arne C. Bathke, University of Kentucky; Oliver Non-Small Cell Lung Cancer Trial—◆Yufan Zhao, Schabenberger, SAS Institute Inc.; Randall Tobias, Amgen, Inc.; Michael Kosorok, The University of SAS Institute Inc.; Laurence V. Madden, The Ohio North Carolina at Chapel Hill State University Washington, DC 153 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:35 a.m. The Calibration of the TITE-CRM Design for 324 CC-204B Phase I Cancer Trials with Fast Patient Accrual— ■ Vaccine Trials and HIV Trials—Contributed ◆Mei-Yin Polley, University of California, San Francisco Biopharmaceutical Section Chair(s): John Zhong, Human Genome Sciences 11:50 a.m. Estimation of Safe and Effective Dose in Phase I Clinical Trials in Oncology—◆Motomi Mori, Oregon Health & Science University; Yiyi Chen, Oregon 10:35 a.m. Test of Acceptable Vaccine Immunogenicity: t-Test Health & Science University; Joshi Alumkal, vs. Longitudinal Data Analysis Model—◆Xiaoming Oregon Health & Science University Li, Merck Research Laboratories; Frank Liu, Merck 12:05 p.m. Comparing CRM with Frequentist t-Statistic Research Laboratories; Devan V. Mehrotra, Merck Method for Phase I Clinical Trials in Oncology— Research Laboratories ◆Amit Phansalkar, Cytel, Inc. 10:50 a.m. Polishing a Diamond in the Rough: Deconstructing and Reconstructing the Estimate of Population Benefit of Vaccination—◆Oliver M. Bautista, Merck & Co., Inc. 323 CC-203B 11:05 a.m. Application of Subsampling Methods for the Alternatives to Proportional Hazards Survival Correlation of Immunogenicity and Efficacy in Methods—Contributed Vaccine Trials—◆Yanli Zhao, Merck & Co., Inc.; William Wang, Merck & Co., Inc.; Ivan S.F. Chan, Biometrics Section, Section on Bayesian Statistical Science Merck & Co., Inc. Chair(s): Daohai Yu, H. Lee Moffitt Cancer Center & 11:20 a.m. Control Chart Performance When Monitoring Research Institute Long-Term Vaccine Efficacy—◆J. Brooke Marshall, Merck Research Laboratories; David Radley, Merck 10:35 a.m. Hazard Change-Point Models with Left-Truncated Research Laboratories; Lisa Lupinacci, Merck and Right-Censored Data—◆Deniz C. Yenigun, Research Laboratories Bilkent University; Ulku Gurler, Bilkent University 11:35 a.m. A Meta-Analysis to Assess the FDA Division 10:50 a.m. Proportional Hazards and Threshold Regression: of Antiviral Product’s Time to Loss of Virologic Their Theoretical and Practical Connections— Response (TLOVR) Algorithm in HIV Submissions— ◆Mei-Ling Ting Lee, University of Maryland; ◆Fraser Smith, FDA; Thomas Hammerstrom, FDA; George A. Whitmore, McGill University Guoxing (Greg) Soon, FDA; Susan Zhou, FDA; Baibai 11:05 a.m. Survival Analysis Under Nonproportional Hazards: Chen, FDA; Yabing Mai, FDA; Kimberly Struble, A Unified Approach—◆Jianghua He, The University FDA; Mohammad F. Huque, FDA of Kansas Medical Center; Matthew S. Mayo, The 11:50 a.m. Handling Missing Outcome Data When Estimating University of Kansas Medical Center and Testing the Average Causal Effect of Treatment 11:20 a.m. Estimating Differences in Restricted Mean Lifetime for a Subset Selected by a Post-Randomization Using Observational Data in the Presence of Event—◆Robin Mogg, Merck Research Laboratories; Dependent Censoring—◆Min Zhang, University Devan V. Mehrotra, Merck Research Laboratories; of Michigan; Douglas E. Schaubel, University Peter Gilbert, University of Washington/Fred of Michigan Hutchinson Cancer Research Center; Thomas Ten Have, University of Pennsylvania; Marshall Joffe, 11:35 a.m. Ecological Momentary Assessment: Opportunities University of Pennsylvania for Statistical Research—◆Stephen L. Rathbun, The University of Georgia 12:05 p.m. Floor Discussion 11:50 a.m. Estimation of Median Household and Family Incomes for Small Areas: A Bayesian Semiparametric Approach—◆Dhiman Bhadra, University of Florida; Malay Ghosh, University 325 CC-204A of Florida ■ Issues in Subgrouping Analysis and 12:05 p.m. Exact and Asymptotic Weighted Logrank Tests Preclinical and Phase I Trials—Contributed for Interval-Censored Data: A Review and New R Biopharmaceutical Section Package—◆Michael P. Fay, National Institute of Chair(s): Jonathan Norton, FDA Allergy and Infectious Diseases; Pamela A. Shaw, National Institute of Allergy and Infectious Diseases 10:35 a.m. Dose-Response Assay Equivalence with Replicate Data—◆Steven Novick, GlaxoSmithKline 10:50 a.m. Subgroup Heterogeneity in Drug Efficacy— ◆Qiang (Casey) Xu, FDA; Rajeshwari Sridhara, FDA; Shenghui Tang, FDA; Yu-Ling Chang, FDA

154 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:05 a.m. Fit Five-Parameter Logistic Function for Assay 327 CC-143B Data Using SAS—◆Rong Liu, Merck & Co., Inc.; Small-Area Estimation and Coverage Issues— Shuping Zhang, Merck & Co., Inc.; Jason Liao, Merck Research Laboratories; Shuping Zhang, Contributed Merck & Co., Inc. Section on Survey Research Methods 11:20 a.m. A Clinically More Meaningful Interaction Test of Chair(s): Tapabrata Maiti, Michigan State University Treatment Effects Within Subgroups—◆Weihua Tang, Bristol-Myers Squibb Company; David H. 10:35 a.m. A Simulation Study of the Distribution of Fay’s Henry, Bristol-Myers Squibb Company; Lisa Ying, Successive Difference Replication Variance Bristol-Myers Squibb Company Estimator—◆Elizabeth T. Huang, U.S. Census 11:35 a.m. Rationale for Sponsor-Unblinded Phase I Trials: Bureau; William R. Bell, U.S. Census Bureau Challenging the Double-Blind Paradigm—◆Jitendra 10:50 a.m. Coverage Bias and Sampling Error in a Study Ganju, Amgen, Inc.; Clapton Dias, Amgen, Inc. Using 1000-Series RDD Sampling—◆John Hall, 11:50 a.m. Dose-Time-Effect Modeling for Cancer Cell Growth Mathematica Policy Research, Inc.; Karen Cybulski, in In-Vitro Experiments—◆Maiying Kong, University Mathematica Policy Research, Inc.; Nancy Duda, of Louisville Mathematica Policy Research, Inc. 12:05 p.m. Understanding the Key Factors in the Design of a 11:05 a.m. Modeling County-Level Vaccination Coverage Randomized Thorough QT Study—◆Jessie Qing Rates—◆Nadarajasundaram Ganesh, NORC at the Xia, National Institute of Statistical Sciences; Alexei University of Chicago; Philip J. Smith, CDC; Kennon A. Dmitrienko, Eli Lilly and Company; Beasley R. Copeland, NORC at the University of Chicago; Charles, Eli Lilly and Company; S. Stanley Young, Kirk Wolter, NORC at the University of Chicago National Institute of Statistical Sciences 11:20 a.m. Small-Area Variance Modeling with Application to County Poverty Estimates from the American Community Survey—◆Jerry J. Maples, U.S. Census Bureau; William R. Bell, U.S. Census Bureau; 326 CC-159B Elizabeth T. Huang, U.S. Census Bureau Tuesday Education—Contributed 11:35 a.m. A SPREE Small-Area Procedure for Estimating Business and Economic Statistics Section Population Counts—◆Emily Berg, Iowa State Chair(s): Bill Parr, China Europe International Business School University; Wayne Fuller, Iowa State University 11:50 a.m. Using Predictive Marginals to Produce Standardized Estimates—◆Kathryn Spagnola, RTI 10:35 a.m. Performance of MBA Students on Assessment International; Michael B. Witt, RTI International Test—◆Mammo Woldie, Texas Southern University 12:05 p.m. Floor Discussion 10:50 a.m. Analysis of Italian Survey Data on PhD Graduates: Is Job Consistent with Education?—◆Matilde Bini, University of Florence; Leonardo Grilli, University of Florence 11:05 a.m. Does Major Affect Employment Outcomes and Speaker with Lunch Job Satisfaction Among Business Graduates?— ◆Margaretha Hsu, Shippensburg University 12:30 p.m.–1:50 p.m. 11:20 a.m. Math and Science Partnerships to Enhance Student Outcomes: Evidence of Policy Implications from the ATOMS2XP Project—◆Mack Shelley, Iowa 328 CC-301 State University; Betty Latimer, Mississippi State Business and Economic Statistics Section University; Mari Kemis, Iowa State University; Speaker with Lunch (fee event)—Speaker Elena Polush, Iowa State University with Lunch 11:35 a.m. A Test of Two Similar Particle System Models Business and Economic Statistics Section of Wage Income Distribution Conditioned on Organizer(s): Stuart Scott, Bureau of Labor Statistics Education—◆John Angle, Inequality Process Institute TL09 Rebalancing the American Economy: Challenges to 11:50 a.m. Constructing University Performance Indicators in Recovery—◆Barry Bosworth, The Brookings Institution Italy: A Comparative Approach—◆Tiziana Laureti, University of Naples; Margherita Velucchi, Università di Firenze 12:05 p.m. Floor Discussion

Washington, DC 155 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Roundtables with Lunch 332 CC-Ballroom South Prefunction Section on Government Statistics Roundtable 12:30 p.m.–1:50 p.m. with Lunch (fee event) Section on Government Statistics 329 CC-Ballroom South Prefunction Organizer(s): Lisa Blumerman, U.S. Census Bureau Biopharmaceutical Section Roundtables with Lunch (fee event) TL18 The Unique Method for Obtaining Data: Entering Biopharmaceutical Section Agreements to Share Administrative Records—◆Stephen Organizer(s): Dionne Price, FDA Q. Cornman, National Center for Education Statistics; Shelly W. Martinez, Office of Management and Budget

TL10 Statistical Issues on Design and Analysis of Thorough QT Clinical Trials—◆Yi Tsong, FDA TL11 Building a Professional Mentoring Network—◆Christy 333 CC-Ballroom South Prefunction Chuang-Stein, Pfizer Inc. Section on Health Policy Statistics Roundtable TL12 Best Practices for Specifications of Tables, Listings, and with Lunch (fee event) Figures—◆Charles Kincaid, COMSYS Section on Health Policy Statistics TL13 Subgroup Analysis: Cost and Ethical Considerations— Organizer(s): Susan Paddock, RAND Corporation ◆Terri K. Johnson, FDA TL14 Establishing Biomarkers That Are Predictive of Efficacy in Retrospective Analyses—◆Terry Katz, ImClone Systems; TL19 Drawing Evidence Using Multiple Studies for Michael Szarek, ImClone Systems Public Health Questions—◆Chia-Wen Ko, National Institutes of Health TL15 Statistical Issues in Bioassay Analytical Software: The Present and Future—◆Lev Sirota, FDA

334 CC-Ballroom South Prefunction 330 CC-Ballroom South Prefunction Section on Physical and Engineering Sciences International Chinese Statistical Association Roundtables with Lunch (fee event) Roundtable with Lunch (fee event) Section on Physical and Engineering Sciences International Chinese Statistical Association Organizer(s): George Ostrouchov, Oak Ridge National Laboratory Organizer(s): Xuming He, University of Illinois at Urbana-Champaign TL20 Using the New Technologies in Teaching Introductory Statistics—◆Ramon V. Leon, The University of Tennessee TL16 Global Clinical Trials—◆Dianne M. Finkelstein, Harvard/ TL21 Climate Past, Present, and Future—◆Douglas Nychka, Massachusetts General Hospital National Center for Atmospheric Research

331 CC-Ballroom South Prefunction 335 CC-Ballroom South Prefunction Section on Bayesian Statistical Science Section on Statistical Consulting Roundtables Roundtable with Lunch (fee event) with Lunch (fee event) Section on Bayesian Statistical Science Section on Statistical Consulting Organizer(s): Alyson Wilson, Iowa State University Organizer(s): Walter Ambrosius, Wake Forest University School of Medicine

TL17 Why Bayesian Statistics and Machine Learning Need Each Other—◆Sayan Mukerjee, Duke University TL22 The Current State and Future Role of Pro Bono Statistical Consulting—◆Christopher Holloman, The Ohio State University TL23 Setting Consulting Rates—◆Walter Ambrosius, Wake Forest University School of Medicine

156 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

336 CC-Ballroom South Prefunction Invited Sessions 2:00 p.m.–3:50 p.m. Section on Statistical Education Roundtables with Lunch (fee event) Section on Statistical Education 340 CC-202A ■ Organizer(s): Tisha L. Hooks, Winona State University Impact of High-Dimensional Data on Molecular Epidemiology and Statistical TL24 The Best of Both Worlds: Merging Ground and Online Genomics—Invited Pedagogy Into the Hybrid Course—◆David Zeitler, Grand Section on Statistics in Epidemiology Valley State University Organizer(s): Jaya Satagopan, Memorial Sloan-Kettering TL25 Using Model-Eliciting Activities (MEAs) in the Introductory Cancer Center Statistics Class—◆Joan B. Garfield, The University Chair(s): Jaya Satagopan, Memorial Sloan-Kettering Cancer Center of Minnesota TL26 Resequencing Topics in an Introductory Statistics 2:05 p.m. Gene Set Analysis as a Tool for Cross-Platform Course—◆Christopher J. Malone, Winona State University Integration in Genomics—◆Giovanni Parmigiani, Johns Hopkins University; Simina Boca, Johns Hopkins University; Luigi Marchionni, Johns Hopkins University 337 CC-Ballroom South Prefunction 2:35 p.m. Statistical Issues and Challenges of Epigenomics— Section on Statistical Graphics Roundtable with ◆Rebecca W. Doerge, Purdue University Lunch (fee event) 3:05 p.m. Statistical Methods for Differential Diagnosis of Section on Statistical Graphics Second Primary Cancers from Metastases—◆Colin B. Begg, Memorial Sloan-Kettering Cancer Center Organizer(s): Heike Hofmann, Iowa State University 3:35 p.m. Floor Discussion TL27 Challenges for Statisticians Working on Large

Data Sets in R—◆Michael Kane, Yale University Tuesday 341 CC-209C Analysis of Complex and High-Dimensional 338 CC-Ballroom South Prefunction Data—Invited Section on Survey Research Methods International Chinese Statistical Association Roundtable with Lunch (fee event) Organizer(s): Peter G. Hall, The University of Melbourne Section on Survey Research Methods Chair(s): Peter G. Hall, The University of Melbourne Organizer(s): Michael Elliott, University of Michigan 2:05 p.m. Building Nonparametric Sparse Models from TL28 Models for the Characterization and Management of Natural Images to V1 fMRI—◆Bin Yu, University Costs and Risks During Changes in Survey Design— of California, Berkeley; Pradeep K. Ravikumar, ◆John L. Eltinge, Bureau of Labor Statistics University of California, Berkeley; Vincent Vu, University of California, Berkeley; Thomas Naselaris, University of California, Berkeley; Kendrick Kay, University of California, Berkeley; Jack Gallant, 339 CC-Ballroom South Prefunction University of California, Berkeley Social Statistics Section Roundtables with 2:30 p.m. Unsupervised Cross-Validation—◆Art B. Owen, Stanford University Lunch (fee event) 2:55 p.m. Liquid Association for Complex Data Analysis— Social Statistics Section ◆Ker-Chau Li, Institute of Statistical Science, Organizer(s): Joseph J. Salvo, NYC Department of City Planning Academia Sinica 3:20 p.m. Analysis of Complex and High-Dimensional Data— TL29 What Every Statistician Should Know About the ACS: ACS ◆DuBois Bowman, Emory University for Newbies—◆Susan Schechter, U.S. Census Bureau 3:45 p.m. Floor Discussion TL30 Using Data from the American Community Survey: What Federal Agencies Need to Know—◆Frederick Eggers, Independent Consultant

Washington, DC 157 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

342 CC-207A 344 CC-149A ■ ✪ Bayesian Approaches to Safety, Efficacy, ■ ✪ Statistical Methods for Forecasting—Invited and Health Surveillance—Invited Business and Economic Statistics Section Section on Bayesian Statistical Science, Section on Survey Organizer(s): Tae-Hwy Lee, University of California, Riverside Research Methods, Section on Statistics and the Environment, Chair(s): Graham Elliott, University of California, San Diego Biopharmaceutical Section, Section on Government Statistics Organizer(s): Sharon-Lise T. Normand, Harvard Medical School 2:05 p.m. Let’s Do It Again: Bagging Equity Premium Chair(s): Sharon-Lise T. Normand, Harvard Medical School Predictors—Eric Hillebrand, Louisiana State University; ◆Tae-Hwy Lee, University of California, 2:05 p.m. Small Area Estimation of the Prevalence of Riverside; Marcelo C. Medeiros, Pontifical Catholic Cancer Risk Factors and Screening via Bayesian University Rio Methods Using Combined Information from Two 2:30 p.m. MIDAS Instruments—◆Jonathan H. Wright, Johns Surveys—William Davis, National Cancer Institute; Hopkins University; Eric Ghysels, The University of Eric Feuer, National Cancer Institute; Van L. Parsons, North Carolina at Chapel Hill National Center for Health Statistics; Trivellore E. 2:55 p.m. Factor Model Forecasts of Exchange Rates— Raghunathan, University of Michigan ◆Nathaniel ; ◆Kenneth West, University of Wisconsin-Madison Schenker, National Center for Health Statistics; Dawei Xie, University of Pennsylvania 3:20 p.m. Forecasting Inflation with Gradual Regime Shifts and Exogenous Information—◆Kistin Hubrich, 2:30 p.m. The Role of Meta-Analysis in Assessing Adverse European Central Bank; Timo Teraesvirta, Aarhus Drug Effects—◆Joel B. Greenhouse, Carnegie University; Andrés González, Central Bank of Mellon University Colombia 2:55 p.m. Bayesian Shrinkage Models for Associations 3:45 p.m. Floor Discussion Involving Sparse Data—◆William DuMouchel, Phase Forward Lincoln Safety Group 3:20 p.m. Disc: Danica Marinac-Dabic, FDA 3:40 p.m. Floor Discussion 345 CC-150A ■ ✪ The Agony and Ecstasy of Innovation in Federal Surveys—Invited Section on Government Statistics, SSC 343 CC-143C Organizer(s): Lynda T. Carlson, National Science Foundation ■ ✪ Profiling Health Care Providers: Emerging Chair(s): Lawrence D. Brown, The Wharton School Issues, Statistical Methods, and Policy Implications—Invited 2:05 p.m. The Importance of Goal-Oriented Leadership Section on Health Policy Statistics, Section on Government for Innovation—◆Constance F. Citro, The Statistics National Academies Organizer(s): Yulei He, Harvard Medical School 2:30 p.m. Partnership for Innovation—◆Jeri M. Mulrow, Chair(s): Christopher H. Schmid, Tufts Medical Center National Science Foundation; Lynda T. Carlson, National Science Foundation; Thomas L. 2:05 p.m. Hospital Report Cards: Toward Optimal Statistical Mesenbourg, U.S. Census Bureau; Thomas E. Decisions—◆Peter Austin, Institute for Clinical Zabelsky, U.S. Census Bureau Evaluative Sciences 2:55 p.m. Overcoming Extremeness: The Survey Innovator’s 2:30 p.m. Evaluating Composite Quality Measures— Essential Task—◆Don A. Dillman, Washington ◆Mary Beth Landrum, Harvard Medical School State University 2:55 p.m. Performance of Confidence Intervals for the Ratio 3:20 p.m. Disc: Norman M. Bradburn, NORC at the University of Observed to Expected Numbers of an Event— of Chicago ◆Sean M. O’Brien, Duke University Medical Center 3:40 p.m. Floor Discussion 3:20 p.m. Disc: Shaheen Halim, Centers for Medicare and Medicaid Services 3:40 p.m. Floor Discussion

158 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

346 CC-207B 348 CC-204B ■ ✪ Geosciences and SAMSI—Invited Computer Experiments: Modeling Data and IMS, Section on Bayesian Statistical Science Making Decisions—Invited Organizer(s): James Berger, Statistical and Applied Mathematical Technometrics, Section on Bayesian Statistical Science, Sciences Institute Interface Foundation of North America Chair(s): Nell Sedransk, National Institute of Statistical Sciences Organizer(s): David M. Steinberg, Tel Aviv University Chair(s): David M. Steinberg, Tel Aviv University 2:05 p.m. Functional ANOVA Models for Comparing Sources of Variability in Climate Model Output—◆Cari 2:05 p.m. Decision-Theoretic Sensitivity Analysis for Kaufman, University of California, Berkeley; Stephan Complex Computer Models—◆Jeremy Oakley, R. Sain, National Center for Atmospheric Research The University of Sheffield 2:30 p.m. Data Assimilation: What Is the Point?—◆Leonard A. 2:30 p.m. Variable Selection in Bayesian Smoothing Spline Smith, University of Oxford ANOVA Models: Application to Deterministic 2:55 p.m. Uncertain Tempering and Extreme Events in Computer Codes—◆Brian J. Reich, North Carolina Volcanic Risk Assessment—◆Robert L. Wolpert, State University; Curtis Storlie, University of New Duke University Mexico; Howard D. Bondell, North Carolina State University 3:20 p.m. Disc: James Berger, Statistical and Applied Mathematical Sciences Institute 2:55 p.m. Disc: Derek Bingham, Simon Fraser University 3:40 p.m. Floor Discussion 3:15 p.m. Disc: Hugh Chipman, Acadia University 3:35 p.m. Floor Discussion

347 CC-204C ✪ Memorial for Daniel G. Horvitz: Pioneering 349 CC-209B Researcher and Visionary Leader—Invited ■ ✪ Use of Administrative Data in Tuesday Memorial, Section on Survey Research Methods Policymaking—Invited Organizer(s): Ralph E. Folsom, RTI International International Association of Survey Statisticians, Section on Chair(s): Ralph E. Folsom, RTI International Survey Research Methods, Social Statistics Section, Section on Government Statistics 2:05 p.m. Dan Horvitz: His Life and Work as a Statistician— Organizer(s): Louise Bourque, Institut de la statistique du Québec ◆Judith Lessler, Harland’s Creek Farm Chair(s): Marie-éve Tremblay, Institut de la statistique du Québec 2:30 p.m. Some Generalizations of the Horvitz-Thompson Estimator—◆James R. Chromy, RTI International 2:05 p.m. Use of Income Tax Data of Individuals for ◆Sonia Demers, 2:55 p.m. Horvitz-Thompson Estimation and Unit Demographic Purposes— Statistics Canada Nonresponse—◆William Kalsbeek, The University of North Carolina at Chapel Hill; Robert Agans, 2:30 p.m. Register Data Are a Good Backbone but Sometimes The University of North Carolina at Chapel Hill; Restricted for Policymakers: Experiences from Abigail Panter, The University of North Carolina Finland Over Decades—◆Seppo Laaksonen, at Chapel Hill Statistics Finland/University of Helsinki; Pekka Myrskyla, Statistics Finland 3:20 p.m. Imputation and Estimation Under NMAR Nonresponse with Limited Covariate Information— 2:55 p.m. Mixing Administrative and Survey Data in a ◆Danny Pfeffermann, Hebrew University/University Longitudinal Setting: Construction and Uses of of Southampton; Anna Sikov, Hebrew University the French Permanent Demographic Sample— ◆Stéphane Jugnot, National Institute for Statistics 3:45 p.m. Floor Discussion and Economic Studies 3:20 p.m. Disc: John L. Eltinge, Bureau of Labor Statistics 3:40 p.m. Floor Discussion

Washington, DC 159 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

350 CC-202B Invited Panels 2:00 p.m.–3:50 p.m. ■ New Statistical Methods for Array CGH Data— Invited ENAR, Section on Bayesian Statistical Science 352 CC-102B ■ ✪ Organizer(s): Jeffrey S. Morris, The University of Texas M.D. Mediating Statistics in the Media: Getting Anderson Cancer Center Your Numbers Rightly Reported!—Invited Chair(s): Jeffrey S. Morris, The University of Texas M.D. Anderson Committee on Meetings Cancer Center Organizer(s): Xiao-Li Meng, Harvard University ; David Leonhardt, The New York Times 2:05 p.m. Bayesian Random Segmentation Models for Chair(s): Xiao-Li Meng, Harvard University Array-CGH Data—◆Veera Baladandayuthapani, The University of Texas M.D. Anderson Cancer Center; Panelists: ◆David Leonhardt, The New York Times Jeffrey S. Morris, The University of Texas M.D. ◆Shankar Vedantam, The Washington Post Anderson Cancer Center; Yuan Ji, The University of Texas M.D. Anderson Cancer Center ◆William Alpert, Barron’s 2:55 p.m. Model-Based Clustering of Array CGH Profiles: 3:35 p.m. Floor Discussion A Recursive-Partitioning Algorithm for Wavelet Decompositions—◆David Engler, Brigham Young University; Brent Coull, Harvard University; Rebecca Betensky, Harvard School of Public Health; E. Andres Topic-Contributed Sessions Houseman, University of Massachusetts Lowell 3:05 p.m. Segregated Analysis of Array CGH Data— 2:00 p.m.–3:50 p.m. ◆Daniel P. Gaile, State University of New York at Buffalo; Jeffrey C. Miecznikowski, State University 353 CC-158A of New York at Buffalo; David Gold, Roswell Park Cancer Institute; Lara Sucheston, State University Recent Advances in Methodology for Functional of New York at Buffalo; Song Liu, State University Data—Topic-Contributed of New York at Buffalo; Carl Morrison, Roswell Park Section on Nonparametric Statistics Cancer Institute Organizer(s): R. Todd Ogden, Columbia University 3:35 p.m. Floor Discussion Chair(s): Philip T. Reiss, New York University

2:05 p.m. Multilevel Functional Principal Component Analysis—◆Chongzhi Di, Johns Hopkins University; 351 CC-206 Ciprian M. Crainiceanu, Johns Hopkins University Bayes-Frequentist Reconciliation in Large 2:25 p.m. Wavelet-Based Functional Linear Regression— Parameter Spaces—Invited ◆Yihong Zhao, Columbia University; Todd Ogden, IMS, Section on Bayesian Statistical Science, International Indian Columbia University Statistical Association 2:45 p.m. Hierarchical Bayesian Models for Predicting Organizer(s): Subhashis Ghoshal, North Carolina State University Spatially Correlated Curves—◆Joon Jin Song, Chair(s): Subhashis Ghoshal, North Carolina State University University of Arkansas; Bani K. Mallick, Texas A&M University 2:05 p.m. Posterior Normality and Prior Selection in High 3:05 p.m. New Data Analysis Methods for Actigraphy in Dimensions—◆Bertrand Clarke, The University of Sleep Medicine—◆William Shannon, Washington British Columbia/University of Miami; Subhashis University School of Medicine; Jaime Boero, Ghoshal, North Carolina State University Marshfield Clinic; Duntley Stephen, Washington University School of Medicine; David Clifford, 2:35 p.m. A Semiparametric Bernstein-von Mises Theorem— Washington University School of Medicine; Jimin ◆ Ismael Castillo, Vrije Universiteit Amsterdam Ding, Washington University in St. Louis 3:05 p.m. Large Sample Properties of Bayesian Survival 3:25 p.m. Wavelet-Based Functional Mixed Models via ◆ Analysis— Yongdai Kim, Seoul National University DPM—◆Alejandro Villagran, Rice University; 3:35 p.m. Floor Discussion Sang-Han Lee, Nathan S. Kline Institute for Psychiatric Research; Marina Vannucci, Rice University 3:45 p.m. Floor Discussion

160 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

354 CC-150B 2:25 p.m. The Effect on Linkage Rates and Mortality ✪ Ascertainment of Partial SSN Matching to the Student Paper Competition - Markov Chains, National Death Index—◆Christine S. Cox, National Mixture Models, MLEs, and More— Center for Health Statistics; Kimberly Lochner, Topic-Contributed National Center for Health Statistics; Stephanie Section on Statistical Computing, Interface Foundation of Bartee, National Center for Health Statistics; Donna North America Miller, National Center for Health Statistics; Gloria Organizer(s): J. R. Lockwood, RAND Corporation Wheatcroft, National Center for Health Statistics Chair(s): J. R. Lockwood, RAND Corporation 2:45 p.m. Tracing Survey Respondents Without SSNs— ◆Marilyn Seastrom, National Center for Education Statistics 2:05 p.m. Twisted Sisters: Disentangling Selection in Overlapping Reading Frames—◆Wei-Chen Chen, 3:05 p.m. Disc: Mary B. Frazier, U.S. Census Bureau Iowa State University; Karin S. Dorman, Iowa 3:25 p.m. Floor Discussion State University 2:25 p.m. A Steplength Algorithm for Fitting ERGMs— ◆Ruth M. Hummel, Penn State University; Mark S. Handcock, University of Washington; David R. 356 CC-141 Hunter, Penn State University ■ Diffusion Tensor Imaging in the Brain: 2:45 p.m. MCPMod: An R Package for the Design and Overview and Recent Advances—Topic- Analysis of Dose-Finding Studies—◆Bjoern Contributed Bornkamp, Dortmund University of Technology; Biometrics Section Jose C. Pinheiro, Novartis Pharmaceuticals; Frank Bretz, Norvartis, Switzerland Organizer(s): Lynn E. Eberly, The University of Minnesota Chair(s): Shuzhen Li, University of Minnesota 3:05 p.m. Penalized Sieve Deconvolution Estimation of Mixture Distributions with Boundary Effects— ◆Mihee Lee, The University of North Carolina at 2:05 p.m. Diffusion Tensor Imaging in the Brain: Overview— Tuesday Chapel Hill; Haipeng Shen, The University of ◆Lynn E. Eberly, The University of Minnesota North Carolina at Chapel Hill; J. Steve Marron, 2:25 p.m. Statistical Curve and Tube Fitting for Diffusion The University of North Carolina at Chapel Hill Tensor Imaging Tractography—◆Brian S. Caffo, 3:25 p.m. Pairwise Variable Selection for High-Dimensional Johns Hopkins Bloomberg School of Public Health; Model-Based Clustering—◆Frank Jian Guo, Ciprian M. Crainiceanu, Johns Hopkins University; University of Michigan; Elizaveta Levina, University Arthur J. Goldsmith, Johns Hopkins Bloomberg of Michigan; George Michailidis, University of School of Public Health; Daniel Reich, Johns Michigan; Ji Zhu, University of Michigan Hopkins University 3:45 p.m. Floor Discussion 2:45 p.m. Voxel-Based Inference for Eigenvalues and Eigenvectors in Group Diffusion Tensor Imaging Studies—◆Armin Schwartzman, Harvard School of Public Health; Robert F. Dougherty, Stanford 355 CC-144A University; Jonathan Taylor, Stanford University ■ ✪ Efforts to Minimize the Use of Social 3:05 p.m. Nonparametric Smoothing and Classification of Security Numbers in Federal Data Collections— High Angular Resolution Diffusion Imaging Data— ◆John D. Carew, Emory University Topic-Contributed 3:25 p.m. A Unified Parametric Model of White Matter Fiber Social Statistics Section, Section on Government Statistics, Tract—◆Moo K. Chung, University of Wisconsin Section on Survey Research Methods Organizer(s): Marilyn Seastrom, National Center for 3:45 p.m. Floor Discussion Education Statistics Chair(s): Katherine Wallman, Office of Management and Budget

2:05 p.m. Federal Policy on Collecting and Using Social Security Numbers for Statistical Purposes— ◆Rochelle (Shelly) W. Martinez, Office of Management and Budget; John Barkhamer, Office of Management and Budget

Washington, DC 161 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

357 CC-144C 359 CC-142 ■ Analyzing Complex Survey Data Using ■ Genome-Wide Association Approaches and Auxiliary Variables—Topic-Contributed Their Roles to Identify Predictors for Drug Section on Survey Research Methods Development—Topic-Contributed Organizer(s): Daniell Toth, Bureau of Labor Statistics Biopharmaceutical Section, International Indian Statistical Associa- Chair(s): Polly Phipps, Bureau of Labor Statistics tion, Biometrics Section Organizer(s): Sue-Jane Wang, FDA 2:05 p.m. Bayesian Inference of Finite Population Distribution Chair(s): Colin O. Wu, National Heart, Lung, and Blood Institute Functions and Quantiles from Unequal Probability Samples—◆Qixuan Chen, University of Michigan; 2:05 p.m. Statistical Aspects of Using Shared Controls in Michael Elliott, University of Michigan; Roderick J.A. Genome-Wide Association Studies—◆Dmitri Little, University of Michigan Zaykin, National Institute of Environmental 2:25 p.m. Estimating Variance Components Using Random Health Sciences Forest—◆Guillermo Mendez, American Express; 2:25 p.m. Pathway Analysis by Adaptive Combination of Sharon Lohr, Arizona State University P-Values—◆Kai Yu, National Cancer Institute 2:45 p.m. An Adaptive Method for Collapsing Strata Using 2:45 p.m. Identifying Predictors of Drug Efficacy in Clinical Regression Trees on Data from a Complex Development Using Genome-Wide Association Design—◆Daniell Toth, Bureau of Labor Statistics; Approach—◆Gbenga R. Kazeem, GlaxoSmithKline; John L. Eltinge, Bureau of Labor Statistics Silviu Bacanu, GlaxoSmithKline; Nelson R. Matthew, 3:05 p.m. Simultaneous Calibration and Nonresponse GlaxoSmithKline; Magaret Ehm, GlaxoSmithKline; Adjustment—◆Eric V. Slud, University of Maryland Wang Sue-Jane, FDA College park; Yves Thibaudeau, U.S. Census Bureau 3:05 p.m. Two-Stage Procedures for Selecting the Best 3:25 p.m. Collinearity Diagnostics for Complex Survey Diagnostic Biomarkers—◆Aiyi Liu, National Data—◆Dan Liao, University of Maryland Institute of Child Health and Human Development 3:45 p.m. Floor Discussion 3:25 p.m. Genetic Association Analysis of Longitudinal and Multivariate Phenotypes in Families—◆Qiong Yang, Boston University; Hongsheng Wu, Boston University; Chao-Yu Guo, Children’s Hospital 358 CC-102A 3:45 p.m. Floor Discussion ■ ✪ Innovative Methods for Conveying Statistical Ideas to Nonstatisticians—Topic-Contributed Committee on Outreach Education, Social Statistics Section, Section on Government Statistics 360 CC-209A Organizer(s): Owen J. Devine, CDC ■ ✪ Savage Award Finalists—Topic-Contributed Chair(s): Owen J. Devine, CDC Section on Bayesian Statistical Science Organizer(s): Marina Vannucci, Rice University Chair(s): Joseph G. Ibrahim, The University of North Carolina 2:05 p.m. Biopharmaceutical Interactive Outreach— at Chapel Hill ◆Jeremy D. Jokinen, Johnson & Johnson 2:25 p.m. Automatic Analyses on the Web—◆Dan Rope, SPSS 2:05 p.m. Adaptive Bayesian P-Splines to Estimate Varying 2:45 p.m. First-Year Basics: Getting Started in College Regression Coefficients: Application to Receptor Counseling Statistics—◆Fred Djang, Bristol-Myers Occupancy Estimation—◆Astrid Jullion, UCB Squibb Company Pharma; Philippe Lambert, University of Liège; 3:05 p.m. Innovative Ways to Convey Statistical Concepts to François Vandenhende, ClinBAY Nonstatisticians—◆Anna B. Nevius, FDA; Alexei 2:25 p.m. On the Analysis of Bayesian Semiparametric A. Dmitrienko, Eli Lilly and Company; Venkat S. IRT-Type Models—◆Alejandro Jara, Universidad Sethuraman, Novartis; Mani Y. Lakshminarayanan, de Concepción; Ernesto San Martin, Department Merck & Co., Inc. of Statistics and Measurement Center MIDE UC 3:25 p.m. Disc: Stephen Gulyas, Lilly Corporate Center Pontificia Universidad Católica de Chile 3:45 p.m. Floor Discussion 2:45 p.m. Functional Mixed Registration Models— ◆Donatello Telesca, The University of Texas M.D. Anderson Cancer Center; Lurdes Inoue, University of Washington 3:05 p.m. Some Extensions of the Polya Urn Scheme with Bayesian Applications—◆Lorenzo Trippa, The University of Texas M.D. Anderson Cancer Center

162 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:25 p.m. Disc: David Dunson, Duke University 3:25 p.m. Disc: Andrew Hill, Wyeth Research 3:45 p.m. Floor Discussion 3:45 p.m. Floor Discussion

361 CC-101 Topic-Contributed Panels ■ Statistical Analysis Issues for Diagnostic 2:00 p.m.–3:50 p.m. Devices—Topic-Contributed Section on Statistics in Epidemiology Organizer(s): Arkendra De, FDA; Vicki Petrides, Abbott Diagnostics 363 CC-155 ■ Chair(s): Vicki Petrides, Abbott Diagnostics ASA and NCTM Collaborations on a Shared Vision for the Role of Statistics in Schools— 2:05 p.m. How Much Information Can a Genomic Topic-Contributed Classifier Based on Gene Expression Add to ASA NCTM Joint Committee on Curriculum in Statistics and Models Based on Clinical Covariates Alone?— Probability, Social Statistics Section ◆Samir Lababidi, FDA Organizer(s): Jerry Moreno, John Carroll University 2:25 p.m. When is a Diagnostic Test Informative?—◆Lakshmi Chair(s): Jerry Moreno, John Carroll University Vishnuvajjala, FDA 2:45 p.m. Methods for Handling Missing Data from Diagnostic Panelists: ◆Gary Kader, Appalachian State University Tests—◆Gene Pennello, FDA ◆Pat Hopfensperger, Mequon School District 3:05 p.m. Biomarker Evaluation Using Percentile Value ◆Roxy Peck, Cal Poly Standardization Approach with Event Time ◆Christine S. Franklin, The University of Georgia Outcomes—◆Yuying Jin, University of Washington; Margaret Pepe, University of Washington; Yingye 3:45 p.m. Floor Discussion

Zheng, Fred Hutchinson Cancer Research Center Tuesday 3:25 p.m. Estimating Cross-Validation Variability—◆Waleed A. Yousef, Helwan University; Weijie Chen, FDA 3:45 p.m. Floor Discussion Contributed Sessions 2:00 p.m.–3:50 p.m.

362 CC-204A 364 CC-143A ■ Machine Learning and Computational Modeling Customer Lifetime Value and Social Inference for Diagnostic Devices— Media Data—Contributed Topic-Contributed Section on Statistics and Marketing Section on Statistics in Epidemiology, Interface Foundation of Chair(s): David Schweidel, University of Wisconsiin North America Organizer(s): Shanti Gomatam, FDA 2:05 p.m. Scalable Analysis of Dyadic Data Using Dirichlet Chair(s): Timothy S. Davison, Almac Diagnostics Ltd. Processes—◆Michael Braun, Massachusetts Institute of Technology; Andre Bonfrer, Singapore Management University 2:05 p.m. Classifier Variability: Accounting for Training and Testing—◆Weijie Chen, FDA; Brandon D. 2:20 p.m. Customer Engagement and Sales Conversion in Gallas, FDA a Social Media Context—◆Lynd D. Bacon, Loma Buena Associates; Danielle Murray, Shutterfly Inc.; 2:25 p.m. Supplementing a Validation Test Sample— Peter Lenk, University of Michigan ◆Frank W. Samuelson, FDA 2:35 p.m. A Multistage Approach to Estimating Customer 2:45 p.m. Computational Intelligence-Based Data Mining for Lifetime Value—◆Heather M. Johnston, IBM; the Minimal Clinically Relevant Difference in the A. M. Santos, IBM Unified Parkinson’s Disease Rating Scale—◆Nitzan Mekel-Bobrov, Boston Scientific Corporation 2:50 p.m. A Bias-Correction Procedure for Using Aggregate Data to Proxy Individual Characteristics— 3:05 p.m. MDLR/MSV: An Algorithm for Mutation Detection ◆Jason Duan, The University of Texas at Austin Microarray and Software for Mutation Signal Visualization—◆Wei-min Liu, Roche Molecular 3:05 p.m. A Geometric Brownian Motion Model of Purchase Systems, Inc.; Aki Nakao, Roche Molecular Systems, History Dynamics—Kalyan Raman, Northwestern Inc.; Li Qiu, Roche Molecular Systems, Inc.; Nancy University; ◆Edward C. Malthouse, Northwestern Patten, Roche Molecular Systems, Inc.; Sim Truong, University Roche Molecular Systems, Inc.; Lin Wu, Roche Molecular Systems, Inc. Washington, DC 163 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:20 p.m. Quantile Regression as a Tool for Identifying Drivers 366 CC-159B of Satisfaction and Dissatisfaction—◆Jorge A. Alejandro, Market Probe; Kurt A. Pflughoeft, Methodological Advances for Spatial and Market Probe Temporal Studies—Contributed Section on Statistics and the Environment, Section on Bayesian 3:35 p.m. Optimization of Marketing Amount Allocation and Statistical Science Marketing Personalization for a Set of Products in the Presence of Word of Mouth—◆Dmitri V. Chair(s): Dan Nordman, Iowa State University Kuznetsov, Intellidyn Corp. 2:05 p.m. On Shortest Prediction Intervals in Log-Gaussian Random Fields—◆Victor De Oliveira, The University of Texas at San Antonio; Changxiang Rui, University 365 CC-144B of Arkansas ■ Measurement Errors, Outliers, and Influential 2:20 p.m. Maximum Likelihood Estimation of Variance Observations in Surveys—Contributed Parameters in the Spatial Random Effects Model— ◆ Section on Survey Research Methods Matthias Katzfuss, The Ohio State University; Noel A. Cressie, The Ohio State University Chair(s): Clyde Tucker, Bureau of Labor Statistics 2:35 p.m. Clipped Latent Variable Spatial Models for Ordered Categorical Data—◆Megan D. Higgs, Montana 2:05 p.m. Measurement Error Models for Physical Activity State University; Jennifer Hoeting, Colorado Measures—◆Nicholas K. Beyler, Iowa State State University University; Sarah Nusser, Iowa State University; Alicia L. Carriquiry, Iowa State University; Gregory 2:50 p.m. Correcting for Signal Attenuation from Noise: ◆ Welk, Iowa State University; Wayne Fuller, Iowa Sharpening the Focus on Past Climate— Marc State University Genton, Texas A&M University; Caspar Ammann, National Center for Atmospheric Research; Bo Li, 2:20 p.m. How Misclassification of Race/Ethnicity Purdue University Categories in Sampling Stratification Affects Survey Estimates—◆Donsig Jang, Mathematica 3:05 p.m. Cross-Covariance Functions for Multivariate Policy Research, Inc.; Amang Sukasih, Mathematica Random Fields Based on Latent Dimensions— ◆ Policy Research, Inc.; Kelly H. Kang, National Tatiyana V. Apanasovich, Thomas Jefferson Science Foundation; Stephen Cohen, National University; Marc Genton, Texas A&M University Science Foundation 3:20 p.m. Reversible Jump MCMC for Inference in a 2:35 p.m. Estimating Response Bias and Response Variance Deterministic Individual-Tree-Based Growth ◆ (Simple and Correlated) from Reinterviews— Model for Studying Forest Dynamics— Jarrett ◆Dhiren Ghosh, Synectics for Management Barber, University of Wyoming; Darren E. Gemoets, Decisions Inc. University of Wyoming; Kiona Ogle, University of Wyoming 2:50 p.m. Effects from Respondent Location on Telephone Survey Estimates—◆Courtney Kennedy, University 3:35 p.m. A Model-Based Analysis of Semicontinuous Spatial ◆ of Michigan; Stephen E. Everett, The Everett Group; Data— Virginia Recta, Penn State University; Michael W. Traugott, University of Michigan Murali Haran, Penn State University; James L. Rosenberger, Penn State University 3:05 p.m. Using Statistical Models in the Sample Design for the Quality Control Reinterview Program— ◆Jianzhu Li, Westat, Inc.; Michael J. Brick, Westat, Inc.; Phyllis Singer, U.S. Census Bureau; Bac Tran, U.S. Census Bureau 367 CC-153 3:20 p.m. Identifying Outliers When Creating an Imputation Teaching the Fundamentals—Contributed Base for the Quarterly Financial Report—◆Melvin Section on Statistical Education J. McCullough, U.S. Census Bureau; Terry L. Chair(s): Kevin Henning, Texas Tech University Pennington, U.S. Census Bureau 3:35 p.m. Identifying Sources of Survey Errors: The 2007 2:05 p.m. What Do Students Hear When We Say ‘Random’?: Classification Error Survey for the U.S. Census Emipirical Results from a Study of Lexical of Agriculture—◆Denise A. Abreu, National Ambiguity—◆Jennifer J. Kaplan, Michigan State Agricultural Statistics Service; Jaki McCarthy, University; Diane Fisher, University of Louisiana- National Agricultural Statistics Service Lafayette; Neal Rogness, Grand Valley State University 2:20 p.m. Statistics-Based Calculus?—◆Patti F. Lock, St. Lawrence University 2:35 p.m. Teaching Probability and Combinatorics Using Lotteries—◆Patricia B. Humphrey, Georgia Southern University

164 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:50 p.m. Two Language-Based Examples for Use in the 369 CC-158B Statistics Classroom—◆Roger Bilisoly, Central Connecticut State University Nonparametric Methods for Department Data— Contributed 3:05 p.m. Why We Should Teach Introductory Applied Section on Nonparametric Statistics Statistics Courses Backwards—◆Bill Rybolt, Babson College Chair(s): Mohsen Pourahmadi, Northern Illinois University 3:20 p.m. Moment-Generating Functions for Tenable Two-Label Polya Urns—◆Kyle Whittaker, The 2:05 p.m. Resampling-Based Bias-Corrected Time George Washington University; Katharine Gurski, Series Prediction—◆Soutir Bandyopadhyay, Howard University Texas A&M University 3:35 p.m. Understanding the Central Limit Theorem Through 2:20 p.m. On Confidence Intervals for the Mean of a Long- Visualizations—◆Tower Chen, University of Guam Range Dependent Process—◆Zhewen Fan, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois at Urbana-Champaign 2:35 p.m. Nonparametric Estimation for Multivariate Lèvy 368 CC-148 Processes—◆Roger Laeven, Tilburg University ■ Modeling and Process Control—Contributed 2:50 p.m. Dependence Calibration in Conditional Copulas: Section on Quality and Productivity A Nonparametric Approach—◆Elif F. Acar, Chair(s): Chengxing Lu, CDC University of Toronto; Radu Craiu, University of Toronto; Fang Yao, University of Toronto 3:05 p.m. Cox-McFadden Marginal Likelihood for Clustered 2:05 p.m. Bayes-Type Test for Constancy of Parameters Proportional Hazards—◆Jan Ondrich, in Logistic Model—◆Yukan Wu, University of Syracuse University Maryland, Baltimore County; Nagaraj K. Neerchal, University of Maryland, Baltimore County 3:20 p.m. Time Series Factorial Models with Uncertainty Measures: Applications to ARMA Processes and 2:20 p.m. Additive Models in Regression Problems—◆Mehdi

Financial Data—◆Carole Toque, University of Tuesday Kiani, Athens University of Economics and Business Luxembourg; Virginie Terraza, University 2:35 p.m. Supersaturated Designs: Are Our Results of Luxembourg Significant?—◆David Edwards, Virginia 3:35 p.m. Bayesian Wavelet-Based Transformation for Commonwealth University; Robert W. Mee, Inducing Normality from Non-Gaussian Long The University of Tennessee Memory Time Series—◆Kyungduk Ko, 2:50 p.m. Design and Analysis of Mixture-of-Mixture Boise State University Experiments—◆Lulu Kang, Georgia Institute of Technology; Roshan V. Joseph, Georgia Institute of Technology; William A. Brenneman, Procter & Gamble 370 CC-159A 3:05 p.m. Profile-Monitoring Analysis with Fixed and Random Nonparametric Estimation and Testing— Effects Using Nonparametric and Semiparametric Methods—◆Abdel-Salam G. Abdel-Salam, Virginia Contributed Polytechnic Institute and State University; Jeffrey B. Section on Nonparametric Statistics Birch, Virginia Polytechnic Institute and Chair(s): Ursula U. Müller-Harknett, Texas A&M University State University 3:20 p.m. A Readjustment and Rectifying Action in the 2:05 p.m. Generalized Wilcoxon Test for Interval-Censored Integrated Process Control—◆Changsoon Park, Failure Time Data—◆Chinsan Lee, Shu-Te Chung-Ang University; Jaeheon Lee, Chung-Ang University of Technology University 2:20 p.m. Nonparametric Assessment of Effectiveness 3:35 p.m. CUSUM Charts for Monitoring Lifetime Data— in the Presence of Interactions Between ◆Denisa A. Olteanu, Virginia Polytechnic Institute Treatment Options and Cost Using Censored and State University; Geoff G. Vining, Virginia Data—◆Mohammad H. Rahbar, The University Polytechnic Institute and State University of Texas Health Science Center at Houston; Joseph C. Gardiner, Michigan State University; Md Monir Hossain, The University of Texas Health Science Center at Houston; Hooshang Talebi, University of Isfahan 2:35 p.m. Multiple Imputation Based on Restricted Mean Models for Censored Survival Data—◆Lyrica Xiaohong Liu, University of Michigan; Susan Murray, University of Michigan; Alexander Tsodikov, University of Michigan

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2:50 p.m. Self-Consistent Estimators Based on Doubly 372 CC-208A ◆ Censored Data— Meng Zhao, Mississippi ■ State University; Karunarathna Kulasekera, Bayesian Methods for Gene Expression and Clemson University Microarrays—Contributed Section on Bayesian Statistical Science 3:05 p.m. Testing for Shape-Restricted Hazard Function Using Resampling Techniques—◆Desale Habtzghi, Chair(s): Niko Kaciroti, University of Michigan University of Akron; Somnath Datta, University of Louisville; Mary C. Meyer, Colorado State University 2:05 p.m. Modeling the Spatial Structure in Microarray Data— 3:20 p.m. Nonparametric Calibration of Two Common ◆Vinicius D. Mayrink, Duke University; Joseph E. Antimicrobial Susceptibility Tests Based on Lucas, Duke Institute for Genome Science and Policy Interval-Censored Data with Measurement Error— 2:20 p.m. Bayesian Analysis of iTRAQ Data with Nonrandom ◆Bruce A. Craig, Purdue University; Xiaoli Qi, Missing: Identification of Differentially Expressed Oracle Corporation Proteins—◆Ruiyan Luo, Yale University; Hongyu 3:35 p.m. Floor Discussion Zhao, Yale University 2:35 p.m. A Bayesian Approach to the Quantification of Protein Lysate Arrays—◆E. Shannon Neeley, Brigham Young University; C. Shane Reese, 371 CC-203A Brigham Young University Nonparametric Models I—Contributed 2:50 p.m. Bayesian Modeling of ChIP-Chip Data via a Biometrics Section Modified Ising Model—◆Qianxing Mo, Memorial Chair(s): Sarah Ratcliffe, University of Pennsylvania Sloan-Kettering Cancer Center; Faming Liang, Texas A&M University 3:05 p.m. Testing Multiple Hypotheses on a Gene Ontology 2:05 p.m. Generalized Functional Latent Feature Models Graph—◆Kun Liang, Iowa State University; in Colon Carcinogenesis Data—◆Yehua Li, Dan Nettleton, Iowa State University The University of Georgia; Naisyin Wang,

Texas A&M University; Raymond J. Carroll, 3:20 p.m. Bayesian Hierarchical Model of Gene Expression Tuesday Texas A&M University and Methylation Data Through EM Algorithm— ◆Jaesik Jeong, Indiana University Purdue University 2:20 p.m. Estimation in Covariate-Adjusted Nonlinear Indianapolis Regression Models—◆Esra Kurum, Penn State University; Damla Senturk, Penn State University 3:35 p.m. A Modified Statistical Method for Identifying Differentially Expressed Genes—◆Zhao Chen, 2:35 p.m. A B-Spline–Based Semiparametric Nonlinear Florida Gulf Coast University Mixed Effects Model—◆Angelo Elmi, University of Pennsylvania; Sarah Ratcliffe, University of Pennsylvania; Wensheng Guo, University of Pennsylvania; Samuel Parry, University of Pennsylvania 373 CC-203B 2:50 p.m. Maximum Likelihood Estimation Using Spline Genome-Wide Association Studies— Smoothing for the Accelerated Failure Time Contributed Model—◆Ying Ding, University of Michigan; Biometrics Section Bin Nan, University of Michigan Chair(s): Jichun Xie, University of Pennsylvania 3:05 p.m. Choosing a Variance Function in Semiparametric Analysis of Overdispersed Count Data— 2:05 p.m. A New Population Size Model for Two-Dimensional ◆Sudhir R. Paul, University of Windsor Gel Electrophoresis in Proteomics—◆Changxuan 3:20 p.m. Nonparametric Methodology for the Time- Mao, AT&T Labs - Research Dependent Partial Area Under the ROC Curve— 2:20 p.m. Distributions of Within-Family Genetic Variances— ◆Chin-Tsang Chiang, National Taiwan University ◆Anne M. Millar, Mount Saint Vincent University 3:35 p.m. Lack of Fit in Self-Modeling Regression— 2:35 p.m. Using Cases from Genome-Wide Association ◆Lyndia C. Brumback, University of Washington Studies to Strengthen Inference on the Association Between Single Nucleotide Polymorphisms and a Secondary Phenotype—◆Huilin Li, National Cancer Institute; Mitchell H. Gail, National Cancer Institute 2:50 p.m. Improving Differential Expression Analysis with the Consideration of Genome-Wide Co-Expression Information—◆Yinglei Lai, The George Washington University

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3:05 p.m. Gene-Gene Interaction Analysis for the Association 375 CC-157 Studies via Multifactor Dimensionality Reduction Method—Taesung Park, Seoul National University; Variable Selection and Model Selection— ◆Jaehoon Lee, Seoul National University; Sohee Contributed Oh, Seoul National University; Kyunga Kim, Seoul IMS National University; Kwon Min-Seok, Seoul Chair(s): Sijian Wang, University of Wisconsin-Madison National University 3:20 p.m. Nonmetric Multidimensional Scaling to Correct for 2:05 p.m. Variable Selection in Multivariate Linear Regression Population Stratification in Association Studies— Models with Fewer Observations Than the ◆Kelci J. Miclaus, SAS Institute Inc./North Carolina Dimension—◆Mariko Yamamura, Kitasato State University University; Hirokazu Yanagihara, Hiroshima 3:35 p.m. Determining Chromatin Features from Genome- University; Muni S. Srivastava, University of Toronto Wide Tiling Arrays Using Continuous Time Hidden 2:20 p.m. Variable Selection for High-Dimensional Data: Markov Models—◆Ritendranath Mitra, The Sparse MAVE—◆Qin Wang, The University of University of North Carolina at Chapel Hill Georgia; Xiangrong Yin, The University of Georgia 2:35 p.m. Distinguishing Between Parametric and Nonparametric Regression Scenarios with a Consistent Model Selection Procedure—◆Wei Liu, 374 CC-208B The University of Minnesota-Twin Cities; Yuhong ■ Bayesian Learning, Smoothing, and Yang, The University of Minnesota-Twin Cities Dimension Reduction—Contributed 2:50 p.m. Optimal Combining of Regression Procedures— Section on Bayesian Statistical Science ◆Chihche Lin, Astellas Pharma Global Chair(s): Robert B. Gramacy, University of Cambridge Development, Inc. 3:05 p.m. A Simple Selection of Smoothing Parameter in ◆ 2:05 p.m. A Bayesian Multiscale Model for Smoothing Images Penalized Spline Regression— Hironori Fujisawa, The Institute of Statistical Mathematics Using the Chinese Restaurant Process—◆John T. Tuesday White, North Carolina State University 3:20 p.m. Two-Stage Sensitivity-Based Group Screening in ◆ 2:20 p.m. Bayesian Hazard Rate Estimation and Sufficient Computer Experiments— Hyejung Moon, The Ohio Dimension Reduction—◆Shraddha S. Mehta, State University; Thomas Santner, The Ohio State Purdue University; Surya T. Tokdar, Carnegie Mellon University; Angela Dean, The Ohio State University University; Jayanta K. Ghosh, Purdue University; 3:35 p.m. Statistical Models for Mechanical Malfunction Bruce A. Craig, Purdue University Detection Based on Vibration Data—◆Lei Jin, 2:35 p.m. Bayesian Principal Component Regression with McNeese State University Data-Driven Components Selection—◆Liuxia Wang, Sentrana Inc. 2:50 p.m. Bayesian Adaptive Ensemble Learning—◆Sounak Chakraborty, University of Missouri-Columbia 376 CC-149B 3:05 p.m. Bayesian Flexible Joint Modeling of Survival and Diffusion Processes Estimation and Financial Curve Predictors—◆Xiaohui Wang, The University Markets—Contributed of Texas Pan American; Veera Baladandayuthapani, Business and Economic Statistics Section The University of Texas M.D. Anderson Cancer Chair(s): Jimmy Efird, UNCG Center; Bani K. Mallick, Texas A&M University; Kim-Anh Do, The University of Texas M.D. 2:05 p.m. Parameter Estimation for Multivariate Stochastic Anderson Cancer Center Differential Equations—◆Shan Yang, Iowa State 3:20 p.m. Semiparametric Bayes Local Additive Models for University; Song Xi Chen, Iowa State University Longitudinal Data—◆Zhaowei Hua, The University 2:20 p.m. Automatic Time Series Model Selection—◆Dongik of North Carolina at Chapel Hill; David Dunson, Jang, Seoul National University; Hee-Seok Oh, Seoul Duke University National University 3:35 p.m. Bayesian Adaptive Nearest Neighbor 2:35 p.m. Multifrequency Forecasting with SAS High- Classification—◆Ruixin Guo, University of Performance Forecasting Software—◆Michele A. Missouri; Sounak Chakraborty, University of Trovero, SAS Institute Inc.; Ed Blair, SAS Institute Missouri-Columbia Inc.; Micheal J. Leonard, SAS Institute Inc. 2:50 p.m. The Return and Volatility Distribution for the DAX Index—◆Yasemin Ulu, Temple University 3:05 p.m. Econometric Analysis via Filtering for Financial Ultra-High Frequency Data—◆Yong Zeng, University of Missouri-Kansas City

Washington, DC 169 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

3:20 p.m. The Stationary, Continuous Time, Discrete Space (SCD) Model with Polya Tree for Micro Poster Presentations Data Analysis in Finance—◆Masaru Hashimoto, 2:00 p.m.–3:50 p.m. Mitsubishi UFJ Securities; Peter Lenk, University of Michigan 3:35 p.m. Predicting the Present (with Google Trends)— 378 CC-Hall D ◆Hyunyoung Choi, Google, Inc.; Hal Varian, ■ Topic-Contributed Oral Poster Presentations: Google, Inc. Gene Expression and Analysis— Topic-Contributed Biometrics Section Organizer(s): Ji Zhu, University of Michigan 377 CC-201 Chair(s): Lara Schmidt, RAND Corporation ■ Application of Innovative Design and Analysis in Clinical Trials—Contributed Biometrics, bioinformatics, computational biology Biopharmaceutical Section 01 Dimension Reduction in the Study of Genetics of Gene Chair(s): Dionne Price, FDA Expression—◆Qiang Guo, Oklahoma State University; Stephanie A. Santorico, University of Colorado 2:05 p.m. Primary Efficacy Endpoint in Clinical Trials of 02 Bayesian Detection of SNP Interactions Associated Antiepileptic Drugs: Change or Percent Change— with Type-1 Diabetes—◆Jing Zhang, Harvard ◆Ohidul Siddiqui, FDA University; Yu Zhang, Penn State University; 2:20 p.m. A Methodological Perspective of Predicting Jun S. Liu, Harvard University Circadian Fluctuations of 24-Hour Ambulatory 03 Unifying Gene Expression Measures Using Factor Blood Pressure: A New Look to ABPM Analyses Analysis—◆Xin V. Wang, University of California, Berkeley; in Cardiovascular Clinical Trials—◆D. Das Terence P. Speed, University of California, Berkeley Purkayastha, Novartis Pharmaceuticals 04 Parameter Selection and Assessment in Prediction— 2:35 p.m. Flexibility and Integrity Planning in Phase IIb, ◆Ian A. Wood, University of Queensland 2-Stage Adaptive Dose-Ranging Acute Migraine 05 Methods for Genomic Data Integration—◆Joseph Beyene, Trials—◆Christopher Assaid, Merck & Co., Inc.; University of Toronto; Elena Parkhomenko, Hospital for Frank (Xiaoyin) Fan, Merck & Co., Inc.; Joy (Yang) Sick Children; Jemila S. Hamid, Hospital for Sick Children; Ge, Merck Research Laboratories David Tritchler, University of Toronto 2:50 p.m. Effects of Sources of Variability on Sample Sizes 06 Modeling Three-Dimensional Chromosome Structures Required for RCTs, Applied to Trials of Lipid- Using Gene Expression Data—◆Guanghua Xiao, The Altering Therapies on Carotid Artery Intima- University of Texas Southwestern Medical Center at Dallas; Media Thickness (cIMT)—◆A. Lawrence Gould, Xinlei Wang, Southern Methodist University; Arkady Merck Research Laboratories; Joerg Koglin, Merck Khodursky, The University of Minnesota Research Laboratories; Ray Bain, Merck Research 07 A New Test for Significant Quantitative Trait Loci Effect— Laboratories; Cathy-Anne Pinto, Merck Research ◆Pradeep Singh, Southeast Missouri State University; Laboratories; Yale B. Mitchel, Merck Research Dayana Dominic, Southeast Missouri State University; Laboratories; Richard C. Pasternak, Merck Kuldeep K. Saxena, CCS Haryana Agricultural University Research Laboratories 3:05 p.m. Design of Early Treatment Trials in Alzheimer’s Disease Through Cohort Enrichment and Surrogate Endpoints—◆Eric A. Macklin, Massachusetts 379 CC-Hall D General Hospital/Harvard Medical School Deborah ; ■ L. Blacker, Massachusetts General Hospita/Harvard Topic-Contributed Oral Poster Presentations: Medical School; Bradley T. Hyman, Massachusetts Microarray Data—Topic-Contributed General Hospital/Harvard Medical School; Rebecca Biometrics Section, ENAR, WNAR Betensky, Harvard School of Public Health Organizer(s): Ji Zhu, University of Michigan 3:20 p.m. The Use of the Third Quartile of Placebo Responses Chair(s): Lara Schmidt, RAND Corporation in Assessment of Drug Abuse Potential—◆Ling Chen, FDA Biometrics, bioinformatics, computational biology 3:35 p.m. Modeling Smoking Cessation Data with Alternating 08 Cost-Efficient Designs Based on Linearly Associated States and a Cure Fraction Using Frailty Models— Biomarkers—◆Changxing Ma, State University of New ◆Yimei Li, University of Pennsylvania; Paul E. York at Buffalo; Albert Vexler, New York State University at Wileyto, University of Pennsylvania; Daniel F. Buffalo; Lili Tian, State University of New York at Buffalo; Heitjan, University of Pennsylvania Enrique Schisterman, National Institutes of Health

170 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

09 Randomized P-Values with Applications in Multiple 380 CC-Hall D Testing—◆Josh Habiger, University of South Carolina; Contributed Oral Poster Presentations— Edsel A. Pena, University of South Carolina Contributed 10 Identifying Important Predictors Using L1 Penalized Models and Random Forests—◆Kellie J. Archer, Virginia Biometrics Section Commonwealth University Chair(s): Lara Schmidt, RAND Corporation 11 Supervised Classification of Microarray Data Using Enriched Ensemble Classifiers—◆Yung-Seop Lee, Biometrics, bioinformatics, computational biology Dongguk University; Dhammika Amaratunga, Johnson & 24 Statistical and Numerical Dependence in Gene Expression Johnson Pharma; Javier Cabrera, Rutgers University Summaries—◆John R. Stevens, Utah State University; 12 Analysis of MicroRNA Data—◆Andre A.A. Williams, Gabriel Nicholas, University of Wisconsin-Madison Virginia Commonwealth University; Kellie J. Archer, Virginia Commonwealth University Reliability and survival modeling, risk analysis 13 Statistical Modeling for Oligonucleotide Arrays Using 25 Real-Time Evaluation of Incubation Period Distributions ◆ PCA with Likelihood Approach— Mehdi Maadooliat, in an Epidemic—◆Nicholas G. Reich, Johns Hopkins Texas A&M University; Jianhua Hu, The University of Bloomberg School of Public Health; Ron Brookmeyer, Texas M.D. Anderson Cancer Center; Jianhua Huang, Princeton University Texas A&M University 14 Normalization of Microarray Data Using Multivariate Methods—◆Mark Reimers, Virginia Commonwealth Clinical Trial Designs University 26 Correction for Two-Group Sample Size Calculation with ◆Hung-Mo Lin, Mt. Sinai 15 Biomarker Detection Methods When Combining Multiple Uncertain Group Membership— School of Medicine Shannon K. McClintock, CDC John M. Multi-Class Microarray Studies—◆Shu-Ya Lu, University ; ; of Pittsburgh Williamson, CDC 16 Multivariate Analysis of Variance Test for Gene Set Analysis—◆Chen-An Tsai, China Medical University; Biometrics, bioinformatics, computational biology Tuesday James Chen, National Center for Toxicological Research 27 Sample Size Calculation for a Mixture of Discrete and 17 Using Exon Microarrays to Predict Breast Cancer Continuous Endpoints—◆Yolanda Munoz Maldonado, Occurrence—◆William E. Johnson, Brigham Young Michigan Technological University; Sarah M. Baraniuk, University; Ying Sun, The University of Utah; Andrea Bild, The University of Texas Health Science Center at Houston; The University of Utah Lemuel A. Moye, The University of Texas Health Science Center at Houston 18 A Detection Method for Identifying the Shared Targets of Multiple DNA-Binding Proteins from ChIP-chip Tiling Array Data—◆Nancy N. Wang, Clinical Trial Designs University of California, Berkeley 28 Sample Size Re-Estimation for Poisson Distributed 19 Support Vector Machines with Disease-Gene-Centric Variables with Partial Follow-Up—◆Jeannette Y. Lee, Network Penalty for High-Dimensional Microarray Data— University of Arkansas for Medical Sciences; Page C. Moore, ◆Yanni Zhu, The University of Minnesota; Wei Pan, University of Arkansas for Medical Sciences; Shelly Lensing, The University of Minnesota; Xiaotong Shen, The University of Arkansas for Medical Sciences University of Minnesota 20 A Distribution for p-Values—◆Daniel Zelterman, Health policy, epidemiology, public health Yale University; Chang Yu, Vanderbilt University 29 Item Development from the Promis Physical Functioning School of Medicine Scale—◆Man Hung, The University of Utah; Charles 21 Composite Likelihood Modeling of Neighboring Site Saltzman, The University of Utah; Daniel Clegg, The Correlations of DNA Sequence Substitution Rates—◆Dirk University of Utah; Tom Greene, The University of Utah F. Moore, University of Medicine and Dentistry of New Jersey; Ling Deng, Johnson & Johnson 22 Using Distributions for p-Values in the Two-Component Biometrics, bioinformatics, computational biology Mixture Models to Estimate the Proportion from Null— 30 Evidence That Oligonucleotide Expression Values Are Not ◆Chang Yu, Vanderbilt University School of Medicine; Normally Distributed—◆Jason Wilson, Biola University Daniel Zelterman, Yale University 31 From Constructing the Age-Specific Reference 23 Bayesian Analysis of Microarray Experiments with Multiple Range to the Disease Outcome Study—◆Chong Y. Fu, Sources of Variation: A Mixed Model Approach—◆Cumhur National Yang Ming University; Ya-Wen Yang, National Y. Demirkale, Iowa State University; Dan Nettleton, Iowa Yang Ming University; Hsin-Yi Huang, National Yang Ming State University; Tapabrata Maiti, Michigan State University University; Shih-Hua Liu, National Yunlin University of Science & Technology

Washington, DC 171 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Mathematical statistics, distribution theory, robust statistics Incomplete data analysis, imputation methods 32 An Inequality About Principal Component and 41 Statistical Methods to Account for Data Errors Discovered Regression—◆Andreas A. Artemiou, Penn State University; from an Audit—◆Bryan E. Shepherd, Vanderbilt University; Bing Li, Penn State University Chang Yu, Vanderbilt University School of Medicine

Health policy, epidemiology, public health Biometrics, bioinformatics, computational biology 33 Efficient Sampling in Case-Control Studies—◆Ashlyn 42 Logit-Based Confidence Intervals for Single Capture- H. Munson, Colorado School of Mines; William Navidi, Recapture Estimation—◆Mauricio Sadinle, Universidad Colorado School of Mines Nacional de Colombia 43 Peptide/Protein Identification Based on Clustered Tandem Biometrics, bioinformatics, computational biology Mass Spectrometry Data and Bayesian Model Selection— ◆Soyoung Ryu, University of Washington; Vladimir Minin, 34 Age Estimation Techniques in Facial Recognition— University of Washington; Dave Goodlett, University of ◆Fernando Schiefelbein, The University of North Carolina Washington at Wilmington

Longitudinal data, repeated measurements, and Health policy, epidemiology, public health meta-analysis 35 Estimating Transmission Parameters for Infectious Diseases Using Social Contact Data—◆Niel Hens, Hasselt 44 A Hot-Deck Multiple Imputation Procedure for Gaps University; Nele Goeyvaerts, Hasselt University; Benson in Longitudinal Event Histories Based on Multivariate ◆ Ogunjimi, University of Antwerp; Olivier Lejeune, University Predictive Mean Matching— Chia-Ning Wang, University of Antwerp; Marc Aerts, Hasselt University; Philippe of Michigan; Roderick J.A. Little, University of Michigan; Beutels, University of Antwerp Bin Nan, University of Michigan; Sioban Harlow, University of Michigan 45 Two-Sample Test of Longitudinal Data with Unequal Biometrics, bioinformatics, computational biology Observation and Termination Times Based on a Marked 36 Multivariate Analysis of EEG Sleep Patterns of Neonates— Point Process—◆Jinheum Kim, University of Suwon; ◆Alexandra Piryatinska, San Francisco State University Chung Mo Nam, Yonsei University; Yang-Jin Kim, Ewha Woman’s University Health policy, epidemiology, public health 37 Frequency Matching and Balance in Case-Control Studies: Health policy, epidemiology, public health Quantifying the Efficiency Loss of Robust but Suboptimal 46 Unconditional Exact Test for Comparison of Two Poisson Design Strategies—◆Jennifer L. Wilcock, University of Means—◆Huey-Miin Hsueh, National Chengchi University; Auckland; Alan J. Lee, University of Auckland MingTe Liu, Tatung Institute of Commerce and Technology

Mathematical statistics, distribution theory, robust statistics Incomplete data analysis, imputation methods 38 Two-Sided Hypothesis Testing Based on Pool Screening 47 The Effect of Imputation Misspecification for Incomplete with Unequal Pool Sizes—◆Hongjiang Gao, The University Predictor Time-to-Event Regression Models—James of Alabama at Birmingham; Inmaculada Aban, The Henle, Smith College; ◆Portia Parker, Smith College; University of Alabama at Birmingham; Charles R. Katholi, Nicholas Horton, Smith College; Shannon McDonough, The University of Alabama at Birmingham Smith College

Computational statistics, numerical methods, simulation Clinical trials, drug discovery 39 Three Algorithms and SAS Macros for Estimating Power 48 The Use and Abuse of Multiple Outcomes in Randomized and Sample Size for Logistic Models with One or More Controlled Trials of Depression—◆Kristin M. Tyler, Smith Independent Variables of Interest in the Presence of College; Nicholas Horton, Smith College Covariates—◆D. Keith Williams, University of Arkansas for Medical Sciences; Zoran Bursac, University of Arkansas for Medical Sciences; Terri Wooten, University of Arkansas for Longitudinal data, repeated measurements, and Medical Sciences meta-analysis 49 Latent Class-Profile Analysis for Modeling Stage- Sequential Processes of Drug-Taking Behaviors— Clinical trials, drug discovery ◆Hwan Chung, Michigan State University 40 Causal Inference in a Randomized Trial with 50 A Markov Transition Model to Dementia with Death as Noncompliance and Administrative Censoring—◆Hui Nie, a Competing Event—◆Liou Xu, University of Kentucky; University of Pennsylvania David Snowdon, University of Kentucky; Richard J. Kryscio, University of Kentucky

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Linear models, GLMs, parametric methods 381 CC-L Street Bridge 51 Sample Size for Testing Interaction Hypothesis in the Cox Contributed Oral Poster Presentations— Regression Model—◆Abu Minhajuddin, The University of Contributed Texas Southwestern Medical Center at Dallas; Xian-Jin Xie, The University of Texas Southwestern Medical Center Section on Quality and Productivity at Dallas Chair(s): Lara Schmidt, RAND Corporation

Biometrics, bioinformatics, computational biology QC, operation research, risk assessment 52 An Exact Test to Detect Geographic Aggregations of 59 Decomposition of a Test Statistic Used in Monitoring Events—◆Rhonda J. Rosychuk, University of Alberta; Process Variability—◆John C. Young, Retired; Robert L. Jason L. Stuber, Mathematical Sciences Inc. Mason, Southwest Research Institute; Youn-Min Chou, The University of Texas at San Antonio 60 Repeated Classification Subject to Errors in Process Longitudinal data, repeated measurements, and Control—◆Michelle L. Smith, Eastern Kentucky University; meta-analysis William S. Griffith, University of Kentucky 53 Three-Level Mixed Model with Heterogeneous Within- Subject Variances—◆Sharada Modur, The Ohio State University; Elizabeth Stasny, The Ohio State University; Bootstrap, resampling methods Christopher Hans, The Ohio State University 61 Using the Bootstrap for Analysis Unreplicated Two-Level Designs—◆Maher B. Qumsiyeh, University of Dayton; Gerald J. Shaughnessy, University of Dayton Clinical trials, drug discovery 54 Achieving the Benefits of an Internal Pilot with Interim Analysis While Controlling Type I Errors for Gaussian QC, operation research, risk assessment Linear Models—◆John A. Kairalla, University of Florida; 62 A Double Multivariate Exponentially Weighted Moving Keith E. Muller, University of Florida; Christopher S. Coffey, Average Control Chart—Jay Schaffer, University of The University of Alabama at Birmingham Northern Colorado; ◆Saad Alkahtani, University of Tuesday 55 Adaptive Prediction in Genomic Signatures--Based Clinical Northern Colorado Trials—◆Yang Xie, The University of Texas Southwestern 63 Determining the Factors That Affect the Fuel Consumption Medical Center at Dallas; Guanghua Xiao, The University in F-4 Aircrafts by 2^k Experiments and Taguchi of Texas Southwestern Medical Center at Dallas; Chul W. Method—◆Berna Yazici, Anadolu University; Ahn, The University of Texas Southwestern Medical Center Senol Kasap, Air Force Command at Dallas; Luc Girard, The University of Texas Southwestern Medical Center at Dallas; John Minna, The University of Bootstrap, resampling methods Texas Southwestern Medical Center at Dallas 64 Heteroscedasticity and Non-Normality in Regression: A Parametric Approach—◆Fassil Nebebe, Biometrics, bioinformatics, computational biology Concordia University 56 Informative Retesting—◆Christopher R. Bilder, University of Nebraska-Lincoln; Joshua M. Tebbs, University of South Sampling and survey methodology Carolina; Peng Chen, Takeda Pharmaceuticals 65 Data Security for a CAPI Survey—◆Martin Wulfe, Macro International, Inc. Longitudinal data, repeated measurements, and meta-analysis 57 Multiple Comparisons of Mean Response Profiles in Longitudinal Studies—◆Ramu Sudhagoni, South Dakota 382 CC-L Street Bridge State University; Gemechis Djira, South Dakota State Contributed Oral Poster Presentations— University Contributed Section on Risk Analysis Spatial statistics, spatio-temporal modeling, GIS Chair(s): Lara Schmidt, RAND Corporation 58 Hierarchical Dynamic Modeling of Spatial-Temporal Binary Data—◆Yanbing Zheng, University of Kentucky; Jun Zhu, Health policy, epidemiology, public health University of Wisconsin-Madison; Brian Aukema, Canadian 66 Large-Scale Covariates Increase Prediction Accuracy Forest Service/University of Northern British Columbia of Health-Related Risk Models—◆Demosthenes Panagiotakos, Harokopio University; Vasileios Maroulas, The University of Minnesota; Anthony P. Fitzgerald, University College Cork

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Reliability and survival modeling, risk analysis Reliability and survival modeling, risk analysis 67 Shelf Life Assessment Based on Threshold Parameter 75 Multiple Comparisons for Weibull Shape Parameters Estimation—◆Michael E. Tarter, University of California, and Percentiles—◆John McCool, Penn State University- Berkeley; Guangwei Huang, Technical and Scientific Affairs Great Valley Almond Board of California Time series, wavelet analysis, signal processing Business, financial, and marketing statistics 76 A Multivariate Time Series Analysis for the Climate 68 Comparing the Upperbounds for the Tail of the Modeling: The Solar-Terrestrial Relation—◆Elizabeth Compound Negative Binomial Distribution— Martínez-Gómez, National Autonomous University ◆Kumer P. Das, Lamar University of Mexico; Victor M. Guerrero, Instituto Tecnológico Autónomo de México; Francisco Estrada, Centro de Ciencias de la Atmósfera Health policy, epidemiology, public health 69 Bayesian Model-Averaging Approach in Health Effects Studies: Sensitivity Analyses Using PM10 and QC, operation research, risk assessment Cardiopulmonary Hospital Admissions in Allegheny 77 The Use of T-Squared Control Charts for Process-Driven County, PA, and Simulated Data—◆Ya-Hsiu Chuang, Studies—◆Maria Weese, The University of Tennessee University of Pittsburgh; Sati Mazumdar, University of Pittsburgh Engineering and physical sciences, chemometrics 78 Inference with Censored Degradation Data—◆Yang Yang, Reliability and survival modeling, risk analysis University of Michigan; Vijay Nair, University of Michigan 70 Cox Proportional Hazards Model with Brownian-Like 79 Statistical Analysis of Microbial Diversity of Anaerobic Predictor—◆Yulei Zhang, Columbia University; Ian Granules in Starch Wastewater Treatment Plant—◆Wei McKeague, Columbia University Wei, University of Puerto Rico-Mayaguez; Bo Hu, University of Puerto Rico-Mayaguez Applications and case studies 71 Multivariate Modeling of Wind Speed Maxima—◆Pál Probability, stochastic processes Rakonczai, Lund Institute of Technology; Nader Tajvidi, 80 Explicit and Efficient Estimation for a Flexible Class Lund Institute of Technology; András Zempléni, Eötvös of Stochastic Differential Equation Models—◆Julie L. Loránd University Forman, University of Copenhagen; Michael Sørensen, University of Copenhagen Semiparametric and nonparametric methods 72 The Use of Semiparametric Regression in Automobile Time series, wavelet analysis, signal processing Insurance Pricing—◆Wehrli E. Perez Caicer, Ecuadorean 81 Prediction Algorithm Using a Widely Lineal Processing— Statistical Society ◆Rosa M. Fernandez-Alcala, University of Jaen; Javier Moreno-Kayser, University of Jaen; Jesus Navarro-Moreno, Biometrics, bioinformatics, computational biology University of Jaen; Juan C. Ruiz-Molina, University of Jaen 73 Variable Selection in Competing Risks Using the L1 Penalized Cox Model—◆Xiangrong Kong, Johns Engineering and physical sciences, chemometrics Hopkins University; Kellie J. Archer, Virginia 82 Statistical Behavior of Pedestrians Under Panic— Commonwealth University ◆Guillermo Frank, University of Buenos Aires; Claudio Dorso, University of Buenos Aires

383 CC-L Street Bridge Spatial statistics, spatio-temporal modeling, GIS Contributed Oral Poster Presentations— 83 Evaluation of Procedures to Estimate Unconventional Natural Gas Resources When Spatial Trends Are Contributed Present—◆Emil D. Attanasi, U.S. Geological Survey; Section on Physical and Engineering Sciences Timothy C. Coburn, Abilene Christian University Chair(s): Lara Schmidt, RAND Corporation Computational statistics, numerical methods, simulation Linear models, GLMs, parametric methods 84 Non-Negative Matrix Factorization: Estimation of the 74 On the Bivariate Negative Binomial Regression Model— Number of Components and the Effect of Normalization— ◆K. Felix Famoye, Central Michigan University ◆Jose Maisog, Georgetown University; Karthik Devarajan, Fox Chase Cancer Center; S. Stanley Young, National Institute of Statistical Sciences; Paul Fogel, Independent Consultant; George Luta, Georgetown University

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Experimental design 385 CC-202A 85 Sequential Latin Hypercube Designs for Computer Wald Lecture I—Invited Experiments—◆Jun Li, University of Wisconsin-Madison; IMS Zhiguang Qian, University of Wisconsin-Madison Organizer(s): Michael Kosorok, The University of North Carolina at Chapel Hill Time series, wavelet analysis, signal processing Chair(s): J. Steve Marron, The University of North Carolina at 86 Statistical Analysis of Eye Movement Data— Chapel Hill ◆Ritaja Sur, University of Maryland; Benjamin Kedem, University of Maryland 4:05 p.m. Fast Sparse Regression and Classification— ◆Jerome H. Friedman, Stanford University Engineering and physical sciences, chemometrics 5:30 p.m. Floor Discussion 87 Bayesian Estimation of Vortex Merger Parameters—◆Neil Martinsen-Burrell, Wartburg College 88 A Discussion and Application of Discriminant Analysis Theory—◆Takisha R. Harrison, Alabama A&M University; Enoch C. Temple, Alabama A&M University Invited Sessions 8:00 p.m.–9:30 p.m.

386 CC-Ballroom A-B ✪ ASA Presidential Address and Awards— Invited Sessions 4:00 p.m.–5:50 p.m. Invited ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical 384 CC-Ballroom A-B Association, International Indian Statistical Association Deming Lecture—Invited Organizer(s): Sally C. Morton, RTI International ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical Chair(s): Peter A. Lachenbruch, Oregon State University Association, International Indian Statistical Association, Deming Tuesday Lectureship Committee 8:00 p.m. Presentation of Awards—◆Peter A. Lachenbruch, Organizer(s): Nicholas I. Fisher, University of Sydney Oregon State University Chair(s): John M. Bushery, U.S. Census Bureau 8:30 p.m. Remarks from the 104th President of the Royal Statistical Society—◆David J. Hand, 4:05 p.m. Deming Today—◆J. Stuart Hunter, Princeton Imperial College University 8:40 p.m. Statistics: From Evidence to Policy— ◆ 5:30 p.m. Floor Discussion Sally C. Morton, RTI International 9:10 p.m. Presentation of Founders Awards and New ASA Fellows—◆Peter A. Lachenbruch, Oregon State University

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WEDNESDAY, August 5

Tours 7:30 a.m.–4:30 p.m. CC-East Registration JSM Main Registration TR12 - Welcome to Washington Tour 7:30 a.m.–4:30 p.m. CC-East Registration 9:00 a.m.–1:00 p.m. ASA Membership/Special Assistance/Press Desk TR13 - The Neighborhoods of Washington, DC: Not Just 8:00 a.m.–2:00 p.m. CC-Hall D the Nation’s Capital City Exhibitor Lounge 2:00 p.m.–6:00 p.m. 8:00 a.m.–2:30 p.m. CC-Hall D TR14 - Monuments by Moonlight Career Placement Service 8:00 p.m.–11:00 p.m. 8:30 a.m.–9:30 a.m. RH-Meeting Room 2 Mu Sigma Rho Business Meeting Committee/Business Meetings & Organizer(s): Christine S. Franklin, The University of Georgia Other Activities 9:00 a.m.–11:00 a.m. RH-Meeting Room 5 COS Publications, Editors and Webmasters 7:00 a.m.–8:00 a.m. RH-Meeting Room 6 Chair(s): Karen Copeland, Boulder Statitstics Conference on Applied Statistics Planning Committee Chair(s): Nathaniel Schenker, National Center for Health Statistics 9:00 a.m.–2:30 p.m. CC-Hall D American Statistical Association Booth #101 7:00 a.m.–8:30 a.m. CC-302 Committee of Representatives to AAAS Business Meeting 9:00 a.m.–2:30 p.m. CC-Hall D Chair(s): Michael P. Cohen, NORC at the University of Chicago EXPO 2009

7:00 a.m.–8:30 a.m. CC-303 9:00 a.m.–5:30 p.m. CC-East Registration Committee on International Relations in Statistics Meeting ASA Marketplace (closed) Chair(s): Demissie Alemayehu, Pfizer Inc. 10:30 a.m.–11:30 a.m. RH-Meeting Room 4 Advisory Committee on Continuing Education CE Course

7:00 a.m.–8:30 a.m. RH-Meeting Room 4 Evaluation (closed) Wednesday Committee on Privacy and Confidentiality Annual Meeting Chair(s): Xiaoming Sheng, University of Utah Chair(s): Jerome Reiter, Duke University; Jerry Reiter, Duke University 11:00 a.m.–12:00 p.m. RH-Meeting Room 2 STATCOM Open Introductory Meeting 7:00 a.m.–8:30 a.m. RH-Meeting Room 7 Organizer(s): Allison Cummins, Scientific and Public Affairs Advisory Committee Meeting Chair(s): David Marker, Westat 11:30 a.m.–2:00 p.m. CC-302 Committee on Meetings (closed) 7:00 a.m.–8:30 a.m. RH-Meeting Room 8 Chair(s): Xiao-Li Meng, Harvard University Committee on Outreach Education Business Meeting (closed) 12:00 p.m.–2:30 p.m. RH-Meeting Room 7 Chair(s): Wendy Martinez, U.S. Department of Defense ENAR 2010 Spring Meeting Planning Committee Lunch (by invitation only) 7:00 a.m.–6:00 p.m. CC-154A Organizer(s): Kathy Hoskins, ENAR Speaker Management Room 12:30 p.m.–2:00 p.m. CC-303 7:00 a.m.–8:00 p.m. CC-East Registration Noether Luncheon Cyber Center Chair(s): Carlos J. Morales, Wellington Management Company, LLP

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12:30 p.m.–2:00 p.m. RH-Meeting Room 8 CE_31T NISS/ASA Writing Workshop Lunch Survey Data Analysis with Stata Chair(s): Keith Crank, ASA 8:00 a.m.–9:45 a.m. RH-Meeting Room 15 ASA 12:30 p.m.–2:30 p.m. CC-157 Instructor(s): Jeffrey Pitblado, StataCorp LP Section for Statistical Programmers and Analysts Mixer and Business Meeting CE_32T Chair(s): Steve Yao, Amgen, Inc. Introduction to Bayesian Analysis Using SAS Software 8:00 a.m.–9:45 a.m. RH-Meeting Rooms 12, 13, 14 1:00 p.m.–6:30 p.m. CC-East Registration ASA JSM Luggage Storage Instructor(s): Fang Chen, SAS Institute Inc.

2:30 p.m.–9:00 p.m. CC-Hall D CE_33T Exhibitor Move-Out Meta-Analysis: Concepts and Applications 10:00 a.m.–11:45 a.m. RH-Meeting Room 16 4:00 p.m.–5:30 p.m. RH-Meeting Room 2 ASA STATCOM Annual Business Meeting (closed) Instructor(s): Michael Borenstein, Biostat, Inc.; Hannah R. Organizer(s): Meghan Honerlaw, Network Outreach Coordinator Rothstein, Biostat, Inc.

6:00 p.m.–7:00 p.m. CC-143A CE_34T International Chinese Statistical Association (ICSA) Annual Multilevel and Mixed Models in Stata Members Meeting 10:00 a.m.–11:45 a.m. RH-Meeting Room 15 Organizer(s): Ming-Hui Chen, University of Connecticut ASA Instructor(s): Roberto G. Gutierrez, StataCorp LP 6:00 p.m.–7:30 p.m. RH-Meeting Room 2 Section on Statistical Education Business Meeting CE_35T Chair(s): Robert delMas, The University of Minnesota Introduction to the MCMC Procedure in SAS/STAT Software 6:00 p.m.–7:30 p.m. 10:00 a.m.–11:45 a.m. RH-Meeting Rooms 12, 13, 14 2009 JSM Program Committee/ACCE/Local Area ASA Committee Appreciation Reception (by invitation only) Instructor(s): Fang Chen, SAS Institute Inc.

6:00 p.m.–7:30 p.m. RH-Meeting Room 4 CE_36T Section on Survey Research Methods Business Meeting Determining Sample Size and Power in Study Planning: Chair(s): Roderick J.A. Little, University of Michigan nQuery Advisor 7.0 Wednesday 6:30 p.m.–8:00 p.m. RH-Meeting Room 5 1:00 p.m.–2:45 p.m. RH-Meeting Room 16 University of Maryland College Park Statistical Alumni ASA Reception Instructor(s): Janet D. Elashoff, Statistical Solutions; Brian Sullivan, Organizer(s): Eric V. Slud, University of Maryland College park Statistical Solutions

CE_37T Introduction to CART: Data Mining with Decision Trees Continuing Education (Fee Events) 1:00 p.m.–2:45 p.m. RH-Meeting Room 15 ASA CE_30T Instructor(s): Mikhail Golovnya, Salford Systems Methods for Multiple Imputation with SOLAS for Missing Data Analysis 3.2 CE_38T 8:00 a.m.–9:45 a.m. RH-Meeting Room 16 Group Sequential Analysis Using SAS Software ASA 1:00 p.m.–2:45 p.m. RH-Meeting Rooms 12, 13, 14 Instructor(s): Brian Sullivan, Statistical Solutions ASA Instructor(s): Yang Yuan, SAS Institute Inc.

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CE_39T 389 CC-Ballroom South Prefunction Advances in Data Mining: Jerome Friedman’s TreeNet/ Section on Statistical Education Roundtables MART and Leo Breiman’s Random Forests with Coffee (fee event) 3:00 p.m.–4:45 p.m. RH-Meeting Room 15 Section on Statistical Education ASA Organizer(s): Tisha L. Hooks, Winona State University Instructor(s): Mikhail Golovnya, Salford Systems

WL06 Challenges in Teaching Statistics to Future Mathematics CE_40T Teachers—◆John R. Stevens, Utah State University Using Replication Methods to Analyze Survey Data in SAS Software 3:00 p.m.–4:45 p.m. RH-Meeting Rooms 12, 13, 14 ASA 390 CC-Ballroom South Prefunction Instructor(s): Anthony An, SAS Institute Inc. Section on Teaching Statistics in the Health Sciences Roundtable with Coffee (fee event) CE_41T Section on Teaching of Statistics in the Health Sciences Introduction to SizÆ: Cytel’s New Software Package for Organizer(s): Carol Bigelow, University of Massachusetts Amherst Clinical Trial Design and Analysis 3:00 p.m.–4:45 p.m. RH-Meeting Room 16 WL07 When Less Is More: What Are the Fundamental Statistical ASA Concepts Health Science Students Need?—◆Ralph M. Instructor(s): Yannis Jemiai, Cytel, Inc. Turner, University of the Sciences

Roundtables with Coffee 391 CC-Ballroom South Prefunction Section on Statistics and the Environment 7:00 a.m.–8:15 a.m. Roundtable with Coffee (fee event) Section on Statistics and the Environment 387 CC-Ballroom South Prefunction Organizer(s): Petrutza Caragea, Iowa State University Section for Statistical Programmers and Analysts Roundtables with Coffee (fee event) WL08 Geography, Space, and Time in Ecology and Health— Section for Statistical Programmers and Analysts ◆Lance A. Waller, Emory University Organizer(s): Chengying Wu, sanofi-aventis

WL01 Patterns of Data Manipulation—◆Hadley Wickham, Rice University Special Presentation WL02 Data Management and Analytical Issues for Health Service Research Using Health Insurance Claim Data— 8:30 a.m.–10:20 a.m. ◆Yong-Fang Kuo, The University of Texas Medical Branch WL03 A Nonrandom Walk Through Mentoring Programs— 392 CC-202A ◆Monica Johnston, Mostly Math Late-Breaking Session II: The Role of Statistics WL04 Publication of Statistical Software as Open Source— in the Nation’s Financial Recovery and ◆Werner Wothke, American Institutes for Research Stability—Other ASA, ENAR, IMS, WNAR, SSC, International Chinese Statistical Association, International Indian Statistical Association 388 CC-Ballroom South Prefunction Organizer(s): Katherine Ensor, ASA Section on Government Statistics Roundtable Chair(s): Alan F. Karr, National Institute of Statistical Sciences with Coffee (fee event) 8:35 a.m. The Financial Crisis: Our Share of the Blame— Section on Government Statistics ◆Don McLeish, Center for Advanced Studies Organizer(s): Lisa Blumerman, U.S. Census Bureau 9:00 a.m. Practical Challenges in Operational Risk Modeling: A Regulator's Point of View—◆Emre Balta, Office of WL05 The 2010 Census Communications Campaign: the Comptroller of the Currency (OCC) Research That Feeds the Campaign—◆Nancy Bates, U.S. Census Bureau 9:25 a.m. Constant Proportion, Zeno's Paradox, and the Spectacular Financial Crisis of 2008—◆Donald Richards, Penn State University

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9:50 a.m. Panel Discussion: The Role of Statistics in the 9:00 a.m. Measuring Coverage in the 2010 Census— Nation's Financial Health—◆Nicholas Kiefer, ◆Patrick J. Cantwell, U.S. Census Bureau; Donna Cornell University Kostanich, U.S. Census Bureau; Magdalena Ramos, 10:15 a.m. Floor Discussion U.S. Census Bureau 9:25 a.m. An Integrated Approach to Communications— Kendall Johnson, U.S. Census Bureau; ◆Tasha Boone, U.S. Census Bureau Invited Sessions 9:50 a.m. An Overview of Progress on the 2010 Census— 8:30 a.m.–10:20 a.m. ◆Arnold A. Jackson, U.S. Census Bureau 10:15 a.m. Floor Discussion 393 CC-206 Statistical Challenges in Personalized Medicine and Genotype-Guided Clinical Trials—Invited 395 CC-155 Biometrics Section, International Chinese Statistical Association, Computational Aspects of Bayesian Biopharmaceutical Section Shrinkage—Invited Organizer(s): Colin O. Wu, National Heart, Lung, and Blood Institute Section on Statistical Computing, Section on Bayesian Statistical Chair(s): Gang Zheng, National Heart, Lung, and Blood Institute Science, Interface Foundation of North America Organizer(s): Christopher Hans, The Ohio State University 8:35 a.m. Design Issues in the NHLBI Randomized Trial of Chair(s): Christopher Hans, The Ohio State University Genotype-Guided Dosing of Warfarin Therapy (COAG)—◆Jonas H. Ellenberg, University of 8:35 a.m. Shrinkage in the Evaluation of Fielding in Major Pennsylvania; Jungnam Joo, National Heart, Lung, League Baseball—◆Shane Jensen, The Wharton and Blood Institute; Nancy Geller, National Heart, School; Kenneth Shirley, Columbia University; Lung, and Blood Institute; Yves Rosenberg, National Abraham Wyner, The Wharton School Heart, Lung, and Blood Institute; Stephen Kimmel, University of Pennsylvania; Benjamin French, 9:05 a.m. Shrinkage Regression for Multivariate Inference University of Pennsylvania with Missing Data with an Application to Portfolio Balancing—◆Robert B. Gramacy, University of 9:05 a.m. Genotype-Stratified Clinical Trials in the Asthma Cambridge Clinical Research Network—◆Vernon M. Chinchilli, ◆ Penn State University 9:35 a.m. The Horseshoe Approach to Shrinkage— Carlos M. Carvalho, The University of Chicago; Nicholas 9:35 a.m. Rationale, Study Design, and Longitudinal Analysis Polson, The University of Chicago; James Scott, of the NHLBI Cardiogene Study: Genomics of Duke University In-Stent Restenosis—◆Jungnam Joo, National Heart, Lung, and Blood Institute; Santhi K. Ganesh, 10:05 a.m. Floor Discussion National Heart, Lung, and Blood Institute; Gang Zheng, National Heart, Lung, and Blood Institute;

Elizabeth G. Nabel, National Heart, Lung, and Blood Wednesday Institute; Nancy Geller, National Heart, Lung, and 396 CC-150A Blood Institute ■ Internet Applications of Bayesian Statistics— 9:50 a.m. Disc: Sue-Jane Wang, FDA Invited 10:10 a.m. Floor Discussion Section on Statistics and Marketing, Section on Bayesian Statistical Science, Interface Foundation of North America Organizer(s): Paul Dagum, MarkMonitor Chair(s): Rene Schaub, Business.com 394 CC-204C The 2010 Census: Status of the Program, 8:35 a.m. Modeling Competition Amongst Web Sites Using Integrated Communications, Evaluations, and Clickstream Data—◆Alan Montgomery, Carnegie Coverage Measurement—Invited Mellon University Social Statistics Section, Section on Survey Research Methods, 9:00 a.m. Learning and Harnessing Graphical Models Section on Government Statistics in Online Applications—◆Eric Horvitz, Organizer(s): Daniel H. Weinberg, U.S. Census Bureau Microsoft Research Chair(s): Daniel H. Weinberg, U.S. Census Bureau 9:25 a.m. Bayesian Statistics in Internet Advertising— ◆Paul Dagum, MarkMonitor 8:35 a.m. Evaluating the 2010 Census— 9:50 a.m. Disc: Tim Gilbride, Mendoza College of Business ◆Jennifer W. Reichert, U.S. Census Bureau 10:10 a.m. Floor Discussion

Washington, DC 181 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

397 CC-101 9:55 a.m. Disc: Lan Huang, National Cancer Institute ■ ✪ Quantitative Methods for Combating 10:05 a.m. Floor Discussion Bioterrorism—Invited Section on Statistics in Defense and National Security, Section on Government Statistics, Interface Foundation of North America Organizer(s): Alyson Wilson, Iowa State University 399 CC-150B Chair(s): Alyson Wilson, Iowa State University ■ New Statistical Strategies for Exploring Massive Complex Data Sets in Science and 8:35 a.m. What’s Wrong with Hazard-Ranking Systems?— Technology—Invited ◆Louis A. Cox, Cox Associates General Methodology, Section on Bayesian Statistical Science, Interface Foundation of North America 9:05 a.m. Computer Model Validation: Issues with BTRA— ◆David Banks, Duke University Organizer(s): Mayetri Gupta, Boston University Chair(s): Mayetri Gupta, Boston University 9:35 a.m. Trilevel Optimization of Terrorism Risk Management—◆Gerald G. Brown, Naval Postgraduate School; Matthew Carlyle, Naval 8:35 a.m. Genome-Wide Association Studies in a Founder Postgraduate School; Kevin Wood, Naval Population—◆Chiara Sabatti, University of Postgraduate School California, Los Angeles Disc: Neal Glassman, National Research Council 9:00 a.m. Dimension Augmenting Vector Machine: A New 10:05 a.m. Floor Discussion General Classifier with Flexible Feature Selection in High Dimension—◆Samiran Ghosh, Indiana University Purdue University Indianapolis 9:25 a.m. Bayesian Structural Learning and Estimation in 398 CC-159B Gaussian Graphical Models and Hierarchical Log-Linear Models—◆Adrian Dobra, University ■ ✪ Digital Governance, Hotspot of Washington Geoinformatics, Knowledge Discovery, 9:50 a.m. Bayesian Models for Complex Genetic Traits— and Public Policy—Invited ◆Paola Sebastiani, Boston University Environmental and Ecological Statistics, Section on Government 10:15 a.m. Floor Discussion Statistics, Interface Foundation of North America Organizer(s): Ganapati P. Patil, Penn State University Chair(s): Ganapati P. Patil, Penn State University 400 CC-208A 8:35 a.m. Finding Spatial Clusters in Maps Equipped with ■ ✪ Statistical Challenges in Mechanistic Environmentally Defined Structures with Disease Modeling of Complex Biological Processes Policy Case Studies—◆Luiz H. Duczmal, Federal University of Minas Gerais; Ricardo Tavares, Federal Using Differential Equations—Invited University of Ouro Preto; Ganapati P. Patil, Penn ENAR, International Indian Statistical Association State University; Andre L.F. Cançado, Federal Organizer(s): Hulin Wu, University of Rochester University of Minas Gerais Chair(s): Hua Liang, University of Rochester 8:55 a.m. Hiroshima-Nagasaki Atomic Bombing Radiation Effects Hotspot Biogeoinformatics and Public 8:35 a.m. Statistical Challenges in Modeling Immune Health Policy—◆Harry Cullings, Radiation Response to Infectious Disease Agents Using Effects Research Foundation; Geoffrey Jacquez, Differential Equation Models—◆Hulin Wu, BioMedware; Andrew B. Lawson, Medical University University of Rochester of South Carolina; Ganapati P. Patil, Penn 9:00 a.m. Parameters Estimation and Model Selection of State University Long-Term Dynamic Models of HIV—◆Marc 9:15 a.m. Digital Governance and Hotspot Geoinformatics Lavielle, INRIA Saclay; Adeline Samson, Université of Detection and Prioritization with Environmental Paris-Descartes; Ana Karina Fermin, Université Policy Case Studies—◆Sharad Joshi, Slippery Rock Nanterre; France Mentré, INERM-Université University; Ganapati P. Patil, Penn State University; Paris-Diderot Rainer Bruggemann, Leibniz Institute of Freshwater 9:25 a.m. Optimal Therapeutic Strategy for HIV-Infected Ecology and Inland Fisheries; Rajesh E. Koli, Moolji Subjects Based on Mechanistic Models—◆Daniel Jaitha College; Sanjay P. Pawde, Moolji Jaitha College Commenges, ISPED; Rodolphe Thiebaut, ISPED 9:35 a.m. Disc: N. Phillip Ross, Radiation Effects 9:50 a.m. Quantile Functions Distributed Over Space and Research Foundation Time—James O. Ramsay, McGill University; 9:45 a.m. Disc: Christopher Portier, National Institute of ◆Jason D. Nielsen, Carleton University Environmental Health Sciences 10:15 a.m. Floor Discussion

182 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

401 CC-102B 9:35 a.m. David Freedman’s Work in Probability and ◆ ■ Mathematical Statistics— Persi Diaconis, Flexible Statistical Machine Learning for Stanford University Complex Data—Invited 9:55 a.m. Freedman’s Dialogue with the Social Sciences— IMS, Interface Foundation of North America ◆Philip B. Stark, University of California, Berkeley Organizer(s): Yufeng Liu, The University of North Carolina at Chapel Hill 10:15 a.m. Floor Discussion Chair(s): Shuangge Ma, Yale University

8:35 a.m. A Prediction Interval for the Misclassification Invited Panels 8:30 a.m.–10:20 a.m. Rate—◆Susan Murphy, University of Michigan; Eric Laber, University of Michigan 9:00 a.m. Robust Model-Free Probability Estimation— 404 CC-158B ◆Yichao Wu, North Carolina State University; Hao ■ ✪ The Pros of Pro Bono Statistical (Helen) Zhang, North Carolina State University; Consulting—Invited Yufeng Liu, The University of North Carolina at Committee on Student Pro Bono Statistics Chapel Hill Organizer(s): Andrea Rau, Purdue University 9:25 a.m. On Large Margin Hierarchical Classification— Chair(s): Justin Gross, Carnegie Mellon University ◆Junhui Wang, University of Illinois at Chicago; Xiaotong Shen, The University of Minnesota; Wei Pan, The University of Minnesota Panelists: ◆Meghan Honerlaw, Purdue University 9:50 a.m. Statistically Based Mining of Copy Number and ◆Jana Asher, Carnegie Mellon University Correlation Matrices—◆Andrew Nobel, The ◆Nilupa S. Gunaratna, International University of North Carolina at Chapel Hill Nutrition Foundation 10:15 a.m. Floor Discussion ◆Maria Larkina, Michigan State University ◆Sarah Nusser, Iowa State University ◆Luke Fostvedt, Iowa State University 402 CC-201 Disc: Sarah Nusser, Iowa State University IMS Medallion Lecture V—Invited 10:15 a.m. Floor Discussion IMS Organizer(s): Xiaotong Shen, The University of Minnesota Chair(s): Marten Wegkamp, Florida State University 405 CC-143B 8:35 a.m. Combinatorial Problems in Randomized Sequential Statistics and Policy: Climate Change—Invited Prediction—◆Gabor Lugosi, ICREA and Pompeu Section on Statistics and the Environment, Section on Fabra University, Barcelona Government Statistics Wednesday 10:00 a.m. Floor Discussion Organizer(s): Stephen Pierson, ASA Chair(s): Francis Slakey, Georgetown University

Panelists: ◆Amy Braverman, Jet Propulsion Laboratory 403 CC-159A ◆Richard Smith, The University of North Carolina at Memorial Session for David Freedman—Invited Chapel Hill ASA, IMS, ENAR, WNAR, International Indian Statistical ◆Kevin Rennert, Senate Energy and Natural Association, International Chinese Statistical Association, SSC Resources Committee Organizer(s): Terence P. Speed, University of California, Berkeley ◆Mark Berliner, The Ohio State University Chair(s): Terence P. Speed, University of California, Berkeley ◆Jana A. Leggett, Congressional Research Office 10:15 a.m. Floor Discussion 8:35 a.m. Fat Chalk and Other Pillars of Wisdom— ◆Ani Adhikari, University of California, Berkeley 8:55 a.m. A Survey of David Freedman’s Work on Census Adjustment—◆Lawrence D. Brown, The Wharton School 9:15 a.m. David Freedman on Law and Public Policy— ◆Donald Ylvisaker, University of California, Los Angeles

Washington, DC 183 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. Estimating the Effect of a Time-Dependent Therapy Topic-Contributed Sessions on Residual Restricted Mean Lifetime—◆Douglas 8:30 a.m.–10:20 a.m. E. Schaubel, University of Michigan; John D. Kalbfleisch, University of Michigan 9:55 a.m. Disc: Luis A. Escobar, Louisiana State University 406 CC-207A 10:15 a.m. Floor Discussion ■ Analyzing Data on Copy Number Variation— Topic-Contributed Section on Statistics in Epidemiology Organizer(s): Glen A. Satten, CDC 408 CC-158A Chair(s): Christophe Lange, Harvard University ■ Partnership, Benefits, and Challenges— Topic-Contributed 8:35 a.m. Analysis of Copy Number Variations in Genome- SPAIG Committee ◆ Wide Association Studies— Mingyao Li, Organizer(s): Morteza Marzjarani, Saginaw Valley State University University of Pennsylvania Chair(s): Morteza Marzjarani, Saginaw Valley State University 8:55 a.m. Robust Regression for Detecting Copy Number Variants—◆Glen A. Satten, CDC; Andrew Allen, Duke University; Jennifer Mulle, Emory University; 8:35 a.m. Application of Medical Economic Research: Morna Ikeda, Emory University; Stephen Warren, A Case Study in Academic-Industry Partnerships— Emory University ◆Joseph Heyse, Merck Research Laboratories; Boris Iglewicz, Temple University 9:15 a.m. Detecting Breakpoints Using Multiscale Wavelet Products—◆Li Hsu, Fred Hutchinson Cancer 8:55 a.m. Successful Examples of ‘SPAIG’ Relationships— Research Center ◆William B. Smith, Lecot Inc. 9:35 a.m. Distinguishing Copy Number Variants from Cancer- 9:15 a.m. Strengthening Academic Partnerships with Related Alterations—◆Adam B. Olshen, Memorial Government and Private Sector Survey ◆ Sloan-Kettering Cancer Center; Irina Ostrovnaya, Organizations— Alan R. Tupek, Arbitron, Inc. Memorial Sloan-Kettering Cancer Center 9:35 a.m. Creating the Win/Win Arrangement for Successful 9:55 a.m. Overcoming Data Quality and Copy Number Collaborations Between Academia and Industry— ◆ Detection Issues in Genome-Wide Copy Number Alan Menius, GlaxoSmithKline; Pam Arroway, Variation (CNV) Association Studies—◆Christophe North Carolina State University; Jiajun Liu, Merck G. Lambert, Golden Helix Inc.; Greta M. Linse, Research Laboratories Golden Helix Inc.; James E. Grover, Golden Helix 9:55 a.m. Disc: Robert Starbuck, Inc.; Gabriel F. Rudy, Golden Helix Inc. 10:15 a.m. Floor Discussion 10:15 a.m. Floor Discussion

409 CC-202B 407 CC-144C Estimation with Nonignorable Missing Data in ■ Models and Methodologies for Truncated and Survey Sampling—Topic-Contributed Censored Data—Topic-Contributed Section on Survey Research Methods, Section on Bayesian Section on Physical and Engineering Sciences, Statistical Science Biopharmaceutical Section, Section on Quality and Productivity Organizer(s): Jae-kwang Kim, Iowa State University Organizer(s): Ananda Sen, University of Michigan Chair(s): J. Michael Brick, Westat, Inc. Chair(s): Ananda Sen, University of Michigan 8:35 a.m. Bayesian Sensitivity Analysis of Incomplete Data 8:35 a.m. A Simple Step-Stress Model with an Immune Using Pattern-Mixture and Selection Models Fraction—◆Nandini Kannan, The University of Through Equivalent Parameterization—◆Niko Texas at San Antonio; Debasis Kundu, Indian Kaciroti, University of Michigan; Trivellore E. Institute of Technology Kanpur Raghunathan, University of Michigan 8:55 a.m. State-Space Models for Recurrent Events and 8:55 a.m. Semiparametric Estimation for Longitudinal Longitudinal Markers—◆Edsel A. Pena, University Data with Nonignorable Nonmonotone Missing of South Carolina Responses—◆Jun Shao, University of 9:15 a.m. A Unified Competing Risks Cure Rate Model Wisconsin-Madison; Deyuan Jiang, University for Failure Data—◆Sanjib Basu, Northern of Wisconsin-Madison Illinois University 9:15 a.m. Extensions of Proxy Pattern-Mixture Analysis for Survey Nonresponse—◆Rebecca Andridge, University of Michigan; Roderick J.A. Little, University of Michigan 184 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. Statistical Inference with Nonignorable Missing 9:15 a.m. Detection of Disease-Associated Deletions in Data Using Fractional Imputation in Survey Case-Control Studies Using SNP Genotypes— Sampling—◆Jae-kwang Kim, Iowa State ◆Chih-Chieh Wu, The University of Texas M.D. University; Cindy L. Yu, Iowa State University Anderson Cancer Center 10:15 a.m. Floor Discussion 9:35 a.m. A Multilevel Hidden Markov Model of DNA Copy Number Variation—◆Stephen W. Erickson, University of Arkansas for Medical Sciences 9:55 a.m. Case-Control Studies of Genetic and Environmental 410 CC-142 Factors with Error in Measurement of Environmental ■ Bayesian Hierarchical Modeling in Biology Factors—◆Iryna Lobach, New York University and Environmental Studies—Topic-Contributed School of Medicine; Raymond J. Carroll, Texas A&M University; Christine Spinka, University of Missouri; Section on Bayesian Statistical Science, Section on Statistics Mitchell H. Gail, National Cancer Institute; Nilanjan and the Environment Chatterjee, National Cancer Institute Organizer(s): Yu Yue, Baruch College 10:15 a.m. Floor Discussion Chair(s): Jun Lu, American University

8:35 a.m. Bayesian Model for a Dual-Color Tag System for Investigating Virus-Virus Interactions—◆Douglas 412 CC-209B A. Noe, Miami University; Jing Zhang, Miami ■ Outcome Clinical Trials: Long and Wavy University; Stephen E. Wright, Miami University; A. John Bailer, Miami University Roads?—Topic-Contributed Biopharmaceutical Section 8:55 a.m. A Hierarchical Spatio-Temporal Zero-Inflated Model for Correlated Tornado Reports in the Organizer(s): Vipin Arora, Takeda Pharmaceuticals United States—◆Ali Arab, Georgetown University; Chair(s): Barry Davis, The University of Texas School of Christopher Wikle, University of Missouri-Columbia; Public Health Scott Holan, University of Missouri-Columbia; Christopher J. Anderson, Iowa State University 8:35 a.m. Outcome Trials in Type 1 Diabetes: The Diabetes 9:15 a.m. Modeling Uncertainty for Storm Water Quantity and Control and Complications Trial Experience— Quality Analysis Models in Urban DC—◆Valbona ◆John M. Lachin, The George Washington University Bejleri, University of the District of Columbia; Tolessa 8:55 a.m. Outcome Clinical Trials: Long and Wavy Roads?— Deksissa, University of the District of Columbia ◆Lawrence Friedman, Independent Consultant 9:35 a.m. Multivariate Zero-Inflated Bayesian Spatial Models 9:15 a.m. Bumps in the Road for an Academic Data with Repeated Measurements—◆Jing Zhang, Coordinating Center—◆William R. Clarke, The Miami University; Chong Z. He, University University of Iowa; Dixie Ecklund, The University of of Missouri Iowa; Ying Zhang, The University of Iowa 9:55 a.m. Fully Bayesian Smoothing Splines for Varying- 9:35 a.m. Subtopic: Long-Term Follow-Up in the Lung Health Coefficient Models—◆Yu Yue, Baruch College ◆ Study— John Connett, University of Minnesota Wednesday 10:15 a.m. Floor Discussion 9:55 a.m. Disc: Marian R. Fisher, University of Wisconsin-Madison 10:15 a.m. Floor Discussion 411 CC-209A ■ Current Issues in Statistical Genetics— Topic-Contributed 413 CC-149A Biometrics Section Topics in Seasonal Time Series— Organizer(s): Ching-Ti Liu, Boston University Topic-Contributed Chair(s): Alisa Manning, Boston University School of Public Business and Economic Statistics Section Health-Biostatistics Organizer(s): Tucker S. McElroy, U.S. Census Bureau Chair(s): Scott Holan, University of Missouri-Columbia 8:35 a.m. Variable Selection for Genome-Wide Multiple Loci Mapping—◆Wei Sun, The University of North Carolina at Chapel Hill; Fei Zou, The University of 8:35 a.m. Cost-of-Living Index Based on an Estimated North Carolina at Chapel Hill; Joseph G. Ibrahim, Generalized Constant-Elasticity-of-Substitution The University of North Carolina at Chapel Hill Utility Function—◆Peter Zadrozny, Bureau of Labor Statistics 8:55 a.m. Allelic-Based Gene-Gene Interaction in Case- Control Study—◆Jeesun Jung, Indiana University School of Medicine

Washington, DC 185 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

8:55 a.m. Seasonality and Trends in the Temperature Anomaly Data from Goddard Institute for Space Studies— Contributed Sessions ◆Peter B. Kenny, PBK Research; Tucker S. McElroy, 8:30 a.m.–10:20 a.m. U.S. Census Bureau 9:15 a.m. Analyzing Seasonal Time Series with Periodic Low Volumes—◆Tammy Jackson, SAS Institute Inc. 415 CC-149B 9:35 a.m. The Rewards and Challenges of Seasonally Analysis of Financial Time Series—Contributed Adjusting a Short Series: Seasonal Adjustment Business and Economic Statistics Section Research for the US Census Bureau’s Quarterly Chair(s): Viktor Todorov, Northwestern University Services Survey—◆Rebecca J. Hutchinson, U.S. Census Bureau; Erica Wong, U.S. Census Bureau 8:35 a.m. Testing for Jumps in Financial Time Series— 9:55 a.m. Detecting Seasonal Volatility: A Banking ◆Werner Ploberger, Washington University in Application—◆Irma Hernandez-Magallanes, St. Louis; Taesuk Lee, University of Rochester/ University of California, Berkeley Washington University in St. Louis 10:15 a.m. Floor Discussion 8:50 a.m. Independent Component Analysis for Multivariate Financial Time Series—◆David S. Matteson, Cornell University; Ruey S. Tsay, The University of Chicago 9:05 a.m. Statistical Inference for Volatility Component 414 CC-143A Models—◆Fangfang Wang, The University of North ■ ✪ Particle Learning—Topic-Contributed Carolina at Chapel Hill; Eric Ghysels, The University Section on Bayesian Statistical Science of North Carolina at Chapel Hill Organizer(s): Hedibert F. Lopes, The University of Chicago 9:20 a.m. Option Pricing under Random Field Interest Rate Chair(s): Hedibert F. Lopes, The University of Chicago Model with Stochastic Volatility—◆Baowei Xu, The University of North Carolina at Chapel Hill; Chuanshu Ji, The University of North Carolina 8:35 a.m. Parameter Estimation for General State-Space at Chapel Hill Models: A Review—◆Jonathan R. Stroud, The 9:35 a.m. Long-Run Risks in the Term Structure of Interest George Washington University Rates: Estimation—◆Taeyoung Doh, Federal 8:55 a.m. Particle Learning in Autoregressive Models with Reserve Bank of Kansas City Structured Priors—◆Raquel Prado, University 9:50 a.m. Spectral Analysis of the Term Structure of US of California, Santa Cruz; Hedibert F. Lopes, The Interest Rates—◆Kalidas Jana, The University of University of Chicago Texas at Brownsville 9:15 a.m. Sequential Monte Carlo in Model Comparison: 10:05 a.m. Determining the Future Rate of Poisson Random Example in Cellular Dynamics in Systems Biology— Variables After Removing Variables with Too Few ◆Chiranjit Mukherjee, Duke University; Y. Tanouchi, or Too Many Occurrences—Matthew Lindsey, The Duke University; L. You, Duke University; Mike West, University of Texas at Tyler; Kellie Keeling, University Duke University of Denver; ◆Robert Pavur, University of North Texas 9:35 a.m. Sequential Monte Carlo Methods for Long Memory Stochastic Volatility Models—◆Christian Macaro, Duke University; Hedibert F. Lopes, The University of Chicago 416 CC-153 9:55 a.m. The Role of Options, Stochastic Volatility, and Computational Advances in Clustering and Jumps in the Interest Rate Risk Premia Dynamics— ◆Bruno P. Lund, Chicago Booth School of Business; Mixtures—Contributed Hedibert F. Lopes, The University of Chicago Section on Statistical Computing, Interface Foundation of North America 10:15 a.m. Floor Discussion Chair(s): Jean-Michel Marin, University Montpellier II

8:35 a.m. A k-Mean-Directions Algorithm for Clustering Data on the Sphere—◆Ivan Ramler, St. Lawrence University; Ranjan Maitra, Iowa State University 8:50 a.m. Geographically Enhanced Clustering—◆James A. Shine, U.S. Army Topographic Engineering Center; James E. Gentle, George Mason University 9:05 a.m. A Separability Index for Clustering Problems and Its Applications—Arka Ghosh, Iowa State University; Ranjan Maitra, Iowa State University; ◆Anna D. Peterson, Iowa State University

186 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:20 a.m. Cluster-Based Modeling: Exploring the Linear 418 CC-160 Regression Model Space—◆Rebecca Nugent, Carnegie Mellon University; Xia-Yi Shen, Carnegie Active Learning in Statistics Education— Mellon University; Russell Steele, McGill University Contributed Section on Statistical Education 9:35 a.m. Statistical Cluster Detection and Pervasive Surveillance of Nuclear Materials Using Mobile Chair(s): Jamis Perrett, Texas A&M University Sensors—◆Jerry Cheng, Rutgers University; Minge Xie, Rutgers University; Fred Roberts, 8:35 a.m. An A-maze-ing Comparison—◆Mary Richardson, Rutgers University Grand Valley State University; Diann Reischman, 9:50 a.m. Bootstrapping for Significance in Multidimensional Grand Valley State University Compact Clustering Models—◆Ranjan Maitra, 8:50 a.m. The Magical Number 7—◆Diann Reischman, Grand Iowa State University; Soumendra N. Lahiri, Valley State University; Mary Richardson, Grand Texas A&M University; Volodymyr Melnykov, Valley State University Iowa State University 9:05 a.m. Playing Games with a Purpose—◆Shonda Kuiper, 10:05 a.m. Variable Selection in Finite Mixture Models— Grinnell College ◆Volodymyr Melnykov, Iowa State University; 9:20 a.m. Adapting a Carnival Guessing Game to Teach Ranjan Maitra, Iowa State University Experimental Design—◆Nicholas Burn, Abbott Point of Care 9:35 a.m. Planning and Implementing a Hands-On 417 CC-148 Epidemiology Investigation Unit for Advanced Placement Statistics and Biology High-School Applications in Statistical Consulting— Students—◆Ellen K. Endriss, Career Center High Contributed School; Sean Bennett, Career Center High School Section on Statistical Consulting 9:50 a.m. TigerSTAT: A First Person Shooter Game for Chair(s): Stephan Ogenstad, Statogen Consulting Statistics Education—Frank Wattenberg, U.S. Military Academy; ◆Adam Wright, U.S. Military 8:35 a.m. Monte Carlo Evidence of an Evaluation Strategy of Academy at West Point; Rodney Sturdivant, U.S. Diverse Programs with Small Group Sizes—Zhehui Military Academy; Nick Davis, Tietronix Luo, RTI International; ◆Jeremy W. Bray, RTI 10:05 a.m. Supporting Math Undergraduates: Self-Learning International; John Shadle, RTI International Materials for Introductory Statistics Course— ◆ 8:50 a.m. A University Statistical Consulting Center: A Juhyun Park, Lancaster University; Matthew Learning Experience for Undergraduate and Sperrin, Lancaster University Graduate students—◆Phyllis J. Curtiss, Grand Valley State University 9:05 a.m. Application of Factor Analysis in Medical Education—◆Jayawant Mandrekar, Mayo Clinic 419 CC-207B ■ 9:20 a.m. An Outpatient Clinic Queueing Model—◆Anna Missing Data Methods in Epidemiologic Wednesday Valeva, Western Illinois University; Farideh Studies—Contributed Dehkordi-Vakil, Western Illinois University; Section on Statistics in Epidemiology Feridun Tasdan, Western Illinois University Chair(s): Sherri Rose, University of California, Berkeley 9:35 a.m. Overcoming Adverse Effects of Correlations in Microarray Data Analysis—◆Linlin Chen, University 8:35 a.m. Robustness of Efficiency in Semiparametric Models of Rochester; Alexander Y. Gordon, The University for Incomplete Data—◆Thomas Lumley, University of North Carolina at Charlotte; Galina Glazko, of Washington University of Rochester; Andrei Yakovlev, 8:50 a.m. Marginal Structural Models and Missing Data in the University of Rochester Exposure of Interest: A Simulation Study Based 9:50 a.m. Floor Discussion on the Framingham Heart Study Data—◆Susan Shortreed, McGill University; Andrew Forbes, Monash University 9:05 a.m. Accounting for two types of missing data to estimate the accuracy of a binary diagnostic-test— ◆Jeffrey H. Stratton, University of Connecticut; Ofer Harel, University of Connecticut 9:20 a.m. Multiple Imputation of Missing Categorical Data: A Latent Class Analysis Approach—◆Mulugeta Gebregziabher, Medical University of South Carolina; Stacia M. DeSantis, Medical University of South Carolina

Washington, DC 187 188 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. The Generalized ANOVA: A Classic Song Sung 10:05 a.m. Response Mode and Bias Analysis in the IRS’ with Modern Lyrics—◆Hui Zhang, University of Individual Taxpayer Burden Survey—◆George Rochester; Hua He, University of Rochester; Qin Contos, IRS; Michael J. Brick, Westat, Inc.; Yu, University of Rochester; Rui Chen, University Karen C. Masken, IRS; Roy Nord, IRS of Rochester Medical Center; Naiji Lu, University of Rochester; Xin M. Tu, University of Rochester 9:50 a.m. Joint Modeling of Missing Data Due to Nonresponse and Death in Longitudinal 421 CC-203B Epidemiological Studies—◆Kumar B. Rajan, Developments in Address-Based Sampling and Rush University and Medical Center; Sue Other Frame and Coverage Issues—Contributed Leurgans, Rush University and Medical Center Section on Survey Research Methods, Section on 10:05 a.m. Missing Data Analysis in the BE-DRI Trial (UITN)— Government Statistics ◆Aarthi Balasubramanyam, Roche Molecular Chair(s): Eric Grau, Mathematica Policy Research, Inc. Systems, Inc.; Heather Litman, New England Research Institutes; Yan Xu, New England Research Institutes; Anne Stoddard, New 8:35 a.m. Using Addresses as Sampling Units in the 2007 England Research Institutes Health Information National Trends Survey—◆Greg Norman, Westat, Inc.; Richard Sigman, Westat, Inc. 8:50 a.m. Indirect Sampling in Context of Multiple Bases— ◆Manuela Maia, Universidade Católica Portuguesa; 420 CC-203A Pierre Lavallée, Statistics Canada ■ Survey Mode Effects and Methods for Asking 9:05 a.m. A Comparative Evaluation of Traditional Listing Sensitive Questions—Contributed vs. Address-Based Sampling Frames: Matching Section on Survey Research Methods with Field Investigation of Discrepancies—◆Jill Montaquila, Westat, Inc.; Michael J. Brick, Westat, Chair(s): Jeffrey Gonzalez, Bureau of Labor Statistics Inc.; Valerie Hsu, Westat, Inc.; Stephanie Eckman, NORC at the University of Chicago; Ned English, 8:35 a.m. Mean and Sensitivity Estimation in Optional NORC at the University of Chicago ◆ Randomized Response Models— Sat N. Gupta, 9:20 a.m. Multi-Frame Estimation for the 2008 NSSRN: The University of North Carolina at Greensboro; Theory, Implementation, and Assessment— Javid Shabbir, Quai-I-Azam University; Supriti Sehra, ◆Ralph DiGaetano, Westat, Inc.; Lou Rizzo, The University of North Carolina at Greensboro Westat, Inc.; Jim Green, Westat, Inc. 8:50 a.m. Evaluating Mode Effects in Military Surveys— 9:35 a.m. Operational Results from an Address-Based ◆ Michael Yonghe Yang, ICF International; Amy Sampling Pilot for the National Immunization Falcone, ICF International; Lynn Milan, U.S. Army Survey—◆Benjamin Skalland, NORC at the Research Institute; Brad Booth, ICF International University of Chicago; Martin Barron, NORC at 9:05 a.m. Data Collection Mode Effects: Empirical the University of Chicago; Karen Wooten, CDC Comparisons Between CATI-Only vs. Mixed Mode 9:50 a.m. Cross-Community Comparison and Multi-Frame in the 2003 National Survey of Recent College Weighting in REACH US—◆Peter K. Kwok, NORC Wednesday ◆ Graduates— Zhanyun Zhao, Mathematica Policy at the University of Chicago; Hee-Choon Shin, NORC Research, Inc.; Donsig Jang, Mathematica Policy at the University of Chicago; Whitney Murphy, NORC Research, Inc.; Kelly H. Kang, National at the University of Chicago; Colm O’Muircheartaigh, Science Foundation The University of Chicago; Angela Debello, NORC at 9:20 a.m. The Franklin’s Randomized Response Model the University of Chicago; Kari Carris, NORC at the for Two Sensitive Attributes—◆Cheng C. Chen, University of Chicago; Youlian Liao, CDC Texas A&M University-Kingsville; Sarjinder Singh, 10:05 a.m. The Use of Address-Based Sampling (ABS) with Texas A&M University-Kingsville Multi-Mode Data Collection: The Case of REACH 9:35 a.m. Sample Surveys with Sensitive Questions: A (Racial and Ethnic Approaches to Community Nonrandomized Response Approach—◆Guo-Liang Health) US Risk Factor Survey—◆Kanru Xia, NORC Tian, The University of Hong Kong; Ming T. Tan, at the University of Chicago; Katie Dekker, NORC at University of Maryland Greenebaum Cancer Center; the University of Chicago; Colm O’Muircheartaigh, Man-Lai Tang, Hong Kong Baptist University The University of Chicago; Youlian Liao, CDC 9:50 a.m. Looking for a Needle in a Haystack: A Multi-Mode Approach to a Survey of Rare Subpopulations— ◆Mansour Fahimi, Marketing Systems Group; Barbara L. Kroner, RTI International; Anne E. Kenyon, RTI International; David J. Thurman, CDC

Washington, DC 189 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

422 CC-144B 423 CC-143C Monitoring and Improving Air Quality— Classification and Discriminant Analysis— Contributed Contributed Section on Statistics and the Environment, Section on Bayesian Section on Statistical Learning and Data Mining, Interface Statistical Science Foundation of North America Chair(s): Joel H. Reynolds, U.S. Fish and Wildlife Service Chair(s): Tyler H. McCormick, Columbia University

8:35 a.m. Spatio-Temporal Modeling of Air Pollutants Using 8:35 a.m. An Empirical Application of Credit Card Customers’ a Process Convolution Approach—◆Jenise Swall, Classification and Recognition in a Chinese Bank— U.S. Environmental Protection Agency ◆Li Xia, IBM China Research Laboratory; Bin Zhang, 8:50 a.m. Hierarchical Spatial Modeling of Air Pollution IBM China Research Laboratory; Ming Xie, IBM Exposure and Measurement Error—◆Simone Gray, China Research Laboratory; Minglu Li, IBM China Duke University; Alan E. Gelfand, Duke University; Research Lab; Jinyan Shao, IBM China Research Lab; Marie Lynn Miranda, Duke University; Sharon Lili Zhao, IBM China Research Lab Edwards, Duke University 8:50 a.m. The Effect of Model Misspecification on Semi- 9:05 a.m. Statistical Modeling of Carbon Dioxide in the Supervised Classification—◆Ting Yang, Johns Atmosphere: Continental United States—◆Yong Hopkins University; Carey E. Priebe, Johns Xu, University of South Florida; Chris P. Tsokos, Hopkins University University of South Florida 9:05 a.m. Discriminant Analysis with Interval Constraints— 9:20 a.m. Estimating NO2 Level from Traffic Exposure Using Xiaoming Huo, Georgia Tech; ◆Heeyoung Kim, GIS and GLM—◆Keita Ebisu, Yale University; Georgia Tech; Jianjun Shi, Georgia Tech Michelle L. Bell, Yale University; Lisa McKay, Yale 9:20 a.m. Multicategory Composite Least Squares University; Janneane F. Gent, Yale University; Classifier—◆Seo Young Park, The University of Kathleen Belanger, Yale University; Michael B. North Carolina at Chapel Hill; Yufeng Liu, The Bracken, Yale University; Brian P. Leaderer, Yale University of North Carolina at Chapel Hill University; Theodore R. Holford, Yale University 9:35 a.m. Semi-Supervised Learning via Regularized Logistic 9:35 a.m. Comparison of Deterministic and Stochastic Discrimination—◆Shuichi Kawano, Kyushu Spatiotemporal Interpolation Methods for Ozone in University; Sadanori Konishi, Kyushu University the Conterminous US—◆Lixin Li, Georgia Southern 9:50 a.m. Properties of the Quadratic Subspace in University; Xingyou Zhang, CDC; Reinhard Piltner, Discriminant Analysis—◆Santiago Velilla, Georgia Southern University Universidad Carlos III de Madrid 9:50 a.m. Hierarchical 2-Level Cluster Model to Estimate 10:05 a.m. Subclassifying Type 2 Diabetes by Combining Regional and National Adverse Effects of NO2 on Nonlinear Dynamic Modeling and Multivariate Public Health—◆Hwashin H. Shin, Health Canada Classification Methods—◆Lucas Beverlin, Iowa and Institute of Population Health, University of State University; Derrick Rollins, Iowa State Ottawa; Richard T. Burnett, Health Canada; Dave University; Nisarg Vyas, BodyMedia, Inc.; Gregory Stieb, Health Canada; Barry Jessiman, Air Health Welk, Iowa State University; Warren Franke, Science Division, Health Canada Iowa State University 10:05 a.m. Improving Air Quality Management Strategies for Ozone Using an Ensemble of Air Quality Model Simulations—◆Kristen M. Foley, U.S. Environmental Protection Agency; Robert W. Pinder, 424 CC-144A U.S. Environmental Protection Agency; Sergey L. Napelenok, U.S. Environmental Protection Agency Nonparametric and Semiparametric Methods— Contributed Section on Nonparametric Statistics Chair(s): Suojin Wang, Texas A&M University

8:35 a.m. Model Selection and Estimation in Additive Regression Models—◆Huiping Miao, North Carolina State University; Daowen Zhang, North Carolina State University 8:50 a.m. Testing for Linearity of a Semiparametric Generalized Linear Model via Splines— ◆Chin-Shang Li, University of California, Davis

190 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:05 a.m. On the Behavior of Marginal and Conditional Akaike 10:05 a.m. A Nonparametric Matching Method, Genetic Information Criteria in Linear Mixed Models— Matching, with Applications to Health Policy ◆Sonja Greven, Johns Hopkins University; Thomas Evaluations: Revisiting the Case of Pulmonary Kneib, Ludwig-Maximilains-Universitaet Muenchen Artery Catheterization—◆Jasjeet S. Sekhon, 9:20 a.m. Efficient and Effective Smoothing with Binned University of California, Berkeley; Richard Grieve, Data—◆Michael C. Minnotte, University of London School of Hygiene and Tropical Medicine North Dakota 9:35 a.m. Semiparametric Sequential Optimal Designs for Binary Response Models—◆Joseph Warfield, Johns Hopkins University Applied Physics 426 CC-204A Laboratory; Anindya Roy, University of New Methods for Multivariate Survival Data— Maryland, Baltimore County Contributed 9:50 a.m. Analysis of Meteorological Data Using Biometrics Section Nonparametric Multiple Regression—◆Ozlem Chair(s): Wei-Ting Hwang, University of Pennsylvania Alpu, Eskisehir Osmangazi University; Berna Yazici, Anadolu University; Betul Kan, Anadolu University 8:35 a.m. Marginalized Frailty Models for Multivariate Data— 10:05 a.m. Determining the Coordinates of an Experimental ◆Megan Othus, Harvard University/Dana Farber Data Set Based on Multivariate Adaptive Regression Cancer Institute; Yi Li, Harvard University/Dana Splines—◆Betul Kan, Anadolu University; Farber Cancer Institute Berna Yazici, Anadolu University 8:50 a.m. Recurrent Event Data Analysis Using Within-Cluster Resampling—◆Xianghua Luo, The University of Minnesota; Chiung-Yu Huang, National Institute of Allergy and Infectious Diseases 425 CC-204B 9:05 a.m. Goodness-of-Fit Tests for Archimedean Copula Advances in Causal Inference and Health Models—◆Antai Wang, Georgetown University Economic Evaluations—Contributed 9:20 a.m. Accelerated Failure Time Marginal Means Models Section on Health Policy Statistics for Recurrent Events with a Terminal Event— Chair(s): Laura Lee Johnson, U.S. Department of Health and ◆Xiaoyan Wang, The University of North Carolina Human Services at Chapel Hill; Jianwen Cai, The University of North Carolina at Chapel Hill 8:35 a.m. Teen Sex from Evidence to Policy: The Accuracy 9:35 a.m. Competing Risks Regression for Clustered Data— of the Media’s Communication of Quantitative ◆Bingqing Zhou, The University of North Carolina Methods—◆Janet E. Rosenbaum, Johns Hopkins at Chapel Hill Bloomberg School of Public Health 9:50 a.m. A Positive Stable Frailty Model for Clustered 8:50 a.m. A New Method for Assigning Weights for Propensity Failure Time Data with Covariate Dependent Score Analysis—◆Michael Posner, Villanova Frailty—Dandan Liu, University of Michigan; ◆John University D. Kalbfleisch, University of Michigan; Douglas E. Wednesday 9:05 a.m. Joint Modeling of Zero-Inflated Data Using Schaubel, University of Michigan Copulas—◆Joanne K. Daggy, Purdue University; 10:05 a.m. Floor Discussion Bruce A. Craig, Purdue University; Joseph Thomas, III, Purdue University 9:20 a.m. Sensitivity Analysis Using Probabilistic Simulation Methods: An Application to the Health Economics 427 CC-141 of Stable Coronary Disease—◆Zugui Zhang, ■ Bayesian Applications—Contributed Christiana Care Health System; Paul Kolm, Christiana Section on Bayesian Statistical Science Care Health System; William S. Weintraub, Christiana Care Health System Chair(s): Rebecca Hubbard, Group Health Center for Health Studies 9:35 a.m. Appealing to Assumptions of Marginal Structural Models for Time-to-Event Outcomes by Using 8:35 a.m. Optimal Conversion of Regression Models to Point- Electronic Health Records—◆Kenneth J. Wilkins, Based Scoring Systems for Clinical Use—◆John Uniformed Services University of the Health Science Boscardin, University of California, San Francisco 9:50 a.m. Heterogeneous Treatment Effects and Individual 8:50 a.m. Signal Detection in Noisy Images: A Bayesian Inefficiency—◆Zhehui Luo, RTI International; Approach—Khalil Shafie, University of Northern Jeremy W. Bray, RTI International; Joseph C. Colorado; ◆Mohammad R. Rouhani, Shahid Gardiner, Michigan State University Beheshti University; Siamak Noorbaloochi, The University of Minnesota

Washington, DC 191 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:05 a.m. Bayesian Combination of State Polls and Election 429 CC-209C ◆ Forecasts— Kari Lock, Harvard University; ■ Andrew Gelman, Columbia University Active Control Trials and Multiple Testing in Clinical Trials—Contributed 9:20 a.m. BugsXLA: Making Bayesian Methods More Biopharmaceutical Section Accessible—◆Phil Woodward, Pfizer Inc. Chair(s): Jingyu (Julia) Luan, FDA 9:35 a.m. Evaluating Multiple Imputation Procedures Using Simulations in a Bayesian Prospective—◆Fabrizia Mealli, University of Florence; Michela Baccini, 8:35 a.m. Use and Abuse of Statistics in Design and Analysis University of Florence; Constantine Frangakis, Johns of Active Control Trials—◆Kallappa M. Koti, FDA Hopkins University; Fan Li, Duke University; Donald 8:50 a.m. An Application of GEE Models in Assessing B. Rubin, Harvard University; Elizabeth R. Zell, CDC Noninferiority to an Aggregate Response—G. Frank 9:50 a.m. Bayesian Regression Inference in Knot Theory— Liu, Merck Research Laboratories; ◆Michael J. ◆John Kern, Duquesne University; Eric Rawdon, Dallas, Merck Research Laboratories St. Thomas University 9:05 a.m. New Step-Down Procedures for Control of 10:05 a.m. A Latent Class Mixture Model to Impute Missing the Generalized Family-Wise Error Rate— Covariates in Observational Studies—◆Robin ◆Zijiang Yang, Temple University; Sanat Sarkar, Mitra, Southampton Statistical Sciences Research Temple University Institute; Jerome Reiter, Duke University 9:20 a.m. Decision Analysis Using Confidence Intervals for a Binomial Parameter with Stratification— ◆Kenneth Liu, Merck & Co., Inc. 9:35 a.m. Multiple Testing Procedures for Multi-Dose Clinical 428 CC-208B Trials—◆Gang Li, Johnson & Johnson PRD; Peter Methods for Genetic Data—Contributed Ouyang, Johnson & Johnson; Yining Wang, Biometrics Section Johnson & Johnson Chair(s): Caiyan Li, University of Pennsylvania 9:50 a.m. Sample Size Re-Estimation for Noninferiority Trials—◆Xiaohui Luo, Merck & Co., Inc.; Bret Musser, Merck Research Laboratories 8:35 a.m. Multiple Comparison and Regularization for Analysis of eQTL Data—◆Jichun Xie, University of 10:05 a.m. A ‘MiniPool’ Approach for Combined Phase IIB/ Pennsylvania; Hongzhe Li, University of Pennsylvania III Trial in Patients with Life-Threatening Disease— ◆Y.H. Joshua Chen, Merck Research Laboratories; 8:50 a.m. Distributional Properties of Digital Gene Expression Keaven Anderson, Merck & Co., Inc. Data—◆Lisa M. Chung, University of Wisconsin- Madison; Michael A. Newton, University of Wisconsin-Madison 9:05 a.m. Tumor Subtype Discovery Using Integrated Genomic Data—◆Ronglai Shen, Memorial 430 CC-102A Sloan-Kettering Cancer Center ■ Clinical Trial Simulation Sample Size and 9:20 a.m. Inference for a Difference in Correlated Counts Decision Analysis—Contributed on an Interval—◆Justin W. Davis, University of Biopharmaceutical Section Missouri; David H. Annis, SportsQuant Chair(s): Brian L. Wiens, Gilead Sciences, Inc. 9:35 a.m. Uncovering Shared Genetic Risk Factors for Various Aspects of Complex Disorders Captured in Multiple 8:35 a.m. Sample Size and Power Analysis for PG and PGB Traits: A Power Calculation and Its Application to Trials Using Parametric Tests—◆Mallikarjuna Reading Disability Data—◆Summer S. Han, Yale Rettiganti, The Ohio State University University; Elena L. Grigorenko, Yale University; 8:50 a.m. Simulation Modeling Approaches: Applications for Joseph T. Chang, Yale University Analysis and Design of Islet Cell Transplant Clinical 9:50 a.m. Floor Discussion Trials—◆Maithili Daphtary, FDA; Hong Yang, FDA; Bruce S. Schneider, FDA; Jawahar Tiwari, FDA; Steven A. Anderson, FDA 9:05 a.m. Evaluating Optimal Drug Supply Strategies in Adaptive Design Trials Through Simulation and Nonparametric Bootstrap Method—◆Suvajit Samanta, Merck & Co., Inc.; Weili He, Merck & Co., Inc. 9:20 a.m. Sample Size Estimation for Trials with Recurrent Events as the Primary Endpoint—◆Kuolung Hu, Amgen, Inc.; Robert A. Parker, Amgen, Inc.

192 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. Improving Monte Carlo Analysis in Nonlinear Least Semiparametric and nonparametric methods Squares Regression—◆Leonid A. Khinkis, Canisius 07 Asymptotics for Time-Dependent Autoregressive College; Milburn E. Crotzer, Canisius College Processes—◆Sreenivas Konda, Temple University 9:50 a.m. Estimation vs. Hypothesis Testing in a Decision Analytic Framework—◆Duane Snavely, Merck & Probability, stochastic processes Co., Inc.; Kenneth Liu, Merck & Co., Inc.; Richard Entsuah, Merck & Co., Inc. 08 Dimension Folding for Array-Valued Predictors with Application to EEG Data—◆Min Kyung Kim, Penn State 10:05 a.m. Testing for Efficacy in Primary and Secondary University; Bing Li, Penn State University; Naomi S. Altman, Endpoints by Partitioning Decision Paths—◆Yi Liu, Penn State University The Ohio State University; Jason Hsu, The Ohio State University 09 A Study of Methods for Computing Empirical Likelihood— ◆Dan Yang, University of Pennsylvania; Dylan Small, University of Pennsylvania 10 CitySense: Multiscale Space Time Clustering of GPS Points and Trajectories—◆Markus Loecher, Sense Poster Presentations Networks; Tony Jebara, Columbia University; David 8:30 a.m.–10:20 a.m. Rosenberg, Sense Networks

Experimental design 431 CC-L Street Bridge 11 Robust Covariance Structure Estimation in Linear Mixed Topic-Contributed Oral Poster Presentations— Models—◆Xueliang Pan, The Ohio State University; David Topic-Contributed Jarjoura, The Ohio State University IMS Organizer(s): Lara Schmidt, RAND Corporation Chair(s): Lara Schmidt, RAND Corporation 432 CC-L Street Bridge Contributed Oral Poster Presentations— Incomplete data analysis, imputation methods Contributed 01 A New Notion of Data Depth Based on Goodness-of-Fit IMS Tests—◆Ye Dong, The University of Hong Kong; Stephen M.S. Lee, The University of Hong Kong Chair(s): Lara Schmidt, RAND Corporation

Computational statistics, numerical methods, simulation Bayesian statistics, hierarchical models 12 A Hierarchical Bayesian Model to Merge Prior Opinions— 02 Selecting the Number of Factors in Exploratory Factor ◆Maria J. Rufo Bazaga, University of Extremadura; Jacinto Analysis via Locally Conic Parameterization—◆Yoshiyuki Martin Jimenez, University of Extremadura; Carlos J. Perez Ninomiya, Kyushu University; Hirokazu Yanagihara, Sanchez, University of Extremadura Hiroshima University; Ke-Hai Yuan, University of Notre Dame Mathematical statistics, distribution theory, robust statistics Wednesday Probability, stochastic processes 13 A Positive False Discovery Rate Convergence Result— ◆Igor Melnykov, Colorado State University; John Chen, 03 Parameter Estimation for First-Order Bifurcating Bowling Green State University Autoregressive Processes with Point Process Technique— ◆Chenhua Zhang, University of Southern Mississippi 04 Hierarchical Clustering Algorithms with Unimodal Test— Data mining and knowledge discovery, machine learning ◆Bumsu Kim, Seoul National University; Yongdai Kim, 14 Robust Inference for Sparse Graphical Models Using a Seoul National University; Sangmi Han Multivariate t Distribution and Penalized Likelihoods— ◆Michael A. Finegold, The University of Chicago; Mathias Drton, The University of Chicago Bayesian statistics, hierarchical models 05 Testing the Regression Coefficient for High-Dimensional Data—◆Pingshou Zhong, Iowa State University; Song Xi Applications and case studies Chen, Iowa State University 15 Workload Forecasting for a Call Center: Methodology and a Case Study—◆Sivan Aldor-Noiman, The Wharton School; Paul D. Feigin, Technion--Israel Institute of Graphics, visualization Technology; Avishai Mandelbaum, Technion--Israel 06 Simple Bias-Corrected Cross-Validation Criterion— Institute of Technology ◆Hirokazu Yanagihara, Hiroshima University

Washington, DC 193 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Biometrics, bioinformatics, computational biology Health policy, epidemiology, public health 16 Calculation of Likelihood Ratios from Categorical Data 23 Instrumental Variables with Binary Data—◆Michael with Applications to Forensic Handwriting Analysis— Baiocchi, University of Pennsylvania; Paul R. Rosenbaum, ◆Christopher P. Saunders, George Mason University; University of Pennsylvania; Dylan Small, University Amanda B. Hepler, George Mason University; Mark J. of Pennsylvania Lancaster, George Mason University; Linda J. Davis, George Mason University; Donald T. Gantz, George Mason University Biometrics, bioinformatics, computational biology 24 Identification of Disease Biomarkers Using Logic Forest— ◆Bethany Wolf, Medical University of South Carolina; Experimental design Elizabeth Slate, Medical University of South Carolina; 17 Optimal Design of the Sensor Network Under Elizabeth Hill, Medical University of South Carolina Communication and Energy Budget Constraints— 25 Development of Statistical Model for Quality Control of ◆Zhengyuan Zhu, The University of North Carolina at Reverse Phase Protein Array (RPPA) Slide and Study of Chapel Hill; Jun Yang, Duke University; Yi Zhang, Duke Tissue Heterogeneity Effects on Protein Expression— University; Xuanlong Nguyen, Duke University ◆Zhenlin Ju, The University of Texas M.D. Anderson Cancer Center Mathematical statistics, distribution theory, robust statistics 18 Context Tree Estimation for Ergodic Processes—◆Zsolt Applications and case studies Talata, University of Kansas; Tyrone Duncan, University 26 Variance Component Analysis of a Reverse Phase Protein of Kansas Array’s Data—◆Wenbin Liu, The University of Texas M.D. Anderson Cancer Center; Kevin R. Coombes, The University of Texas M.D. Anderson Cancer Center; Yiling Lu, The University of Texas M.D. Anderson Cancer Center; Zhenlin 433 CC-L Street Bridge Ju, The University of Texas M.D. Anderson Cancer Center; Contributed Oral Poster Presentations— Gordon B. Mills, The University of Texas M.D. Anderson Contributed Cancer Center ENAR Chair(s): Lara Schmidt, RAND Corporation Biometrics, bioinformatics, computational biology 27 Power and Sample Size Estimation for the Clustered Applications and case studies Wilcoxon Test—◆Bernard Rosner, Channing Laboratory; 19 Evaluating the Association Between Red Blood Cell Robert J. Glynn, Brigham and Women’s Hospital Storage Duration and Prostate Cancer Recurrence— ◆Jarrod E. Dalton, Cleveland Clinic Foundation; Edward Incomplete data analysis, imputation methods J. Mascha, Cleveland Clinic Foundation; Daniel I. Sessler, 28 A General Framework for Estimating Genetic Effects Cleveland Clinic Foundation; Shamgar Ben-Eliyahu, Tel Aviv and Gene-Environment Interactions with Missing Data— University Juan Cata, Cleveland Clinic Foundation ; ◆Yijuan Hu, The University of North Carolina at Chapel Hill; Danyu Lin, The University of North Carolina at Chapel Longitudinal data, repeated measurements, and Hill; Donglin Zeng, The University of North Carolina at meta-analysis Chapel Hill 20 A Meta-Analytic Framework for Combining Incomparable Cox Proportional Hazard Models Caused by Omitting Biometrics, bioinformatics, computational biology Important Covariates—◆Xing Yuan, University of 29 Random Effects Semiparametric Regression Model Pittsburgh; Stewart Anderson, University of Pittsburgh for Clustered Interval-censored Data—K. F. Lam, The University of Hong Kong; ◆Yongxian Long, The University Biometrics, bioinformatics, computational biology of Hong Kong 21 Monoisotopic Peak Detection for Mass Spectrometry 30 Penalized Model-Based Clustering with General Data—◆Mourad Atlas, University of Louisville; Covariance Matrices—◆Hui Zhou, The University of Susmita Datta, University of Louisville Minnesota; Wei Pan, The University of Minnesota; Xiaotong Shen, The University of Minnesota Spatial statistics, spatio-temporal modeling, GIS 22 Kronecker Product Linear Exponent AR(1) Correlation Applications and case studies Structures for Multivariate Repeated Measures—◆Sean 31 Statistical Model and Sample Size Determination for the L. Simpson, Wake Forest University; Lloyd J. Edwards, The QuitNexus Study: Accounting for Within-Cluster Variability University of North Carolina at Chapel Hill; Keith E. Muller, in the Denominator of the Counseling Rate—◆Tina D. University of Florida Cunningham, Virginia Commonwealth University; Robert E. Johnson, Virginia Commonwealth University

194 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

434 CC-L Street Bridge Bootstrap, resampling methods Contributed Oral Poster Presentations— 40 AdaBoost from the Perspective of Importance Contributed Sampling—◆Qingzhao Yu, Louisiana State University Health Sciences Center International Indian Statistical Assoc., Reps. for Young Statisticians

Pattern recognition, computer vision, shape analysis Linear models, GLMs, parametric methods 41 Adaptive Bayesian Pattern Recognition—◆Thomas C. ◆Aman Sahni, University of Northern 32 Linex Regression— Minter, Adaptive Recognition Systems Colorado; Khalil Shafie, University of Northern Colorado; Saad Alkahtani, University of Northern Colorado Time series, wavelet analysis, signal processing 42 Testing Equality of Latent Variables Across Groups— ◆Hui Huang, University of Maryland, Baltimore County 435 CC-Hall D ■ Topic-Contributed Oral Poster Presentations: Data mining and knowledge discovery, machine learning Applications and Case Studies— 43 Clustering via Data Spectroscopy—◆Jared Schuetter, The Topic-Contributed Ohio State University; Tao Shi, The Ohio State University Section on Statistical Learning and Data Mining Organizer(s): Chamont Wei Hong Wang, College of New Jersey Business, financial, and marketing statistics Chair(s): Lara Schmidt, RAND Corporation 44 Session-Centric Page Sequence Clustering for Improving Web Experience—◆Lakshminarayan K. Choudur, Applications and case studies Hewlett-Packard Laboratories 33 Profit Analysis and Customer Satisfaction in Consumer Finance—◆Mikhail Zhuravlev, The College of New Jersey Computational statistics, numerical methods, simulation 34 Profit Analysis in Binary Prediction—◆Michele Meisner, 45 Variable Selection for Clustering—◆Hyang Min Lee, Penn The College of New Jersey State University; Jia Li, Penn State University 35 Detecting Unsatisfied Customers: A Case Study— ◆Kristen Schuck, The College of New Jersey Mathematical statistics, distribution theory, robust statistics 36 Profit Analysis and Bootstrapping of Mass Spectrometry 46 Weighted Distance-Weighted Discrimination and Its Data—Brian Daniels, The College of New Jersey; ◆Katie Asymptotic Properties—◆Xingye Qiao, The University of Lentz, The College of New Jersey North Carolina at Chapel Hill; Hao (Helen) Zhang, North Carolina State University; Yufeng Liu, The University of North Carolina at Chapel Hill; Michael Jeremy Todd, Cornell University; J. Steve Marron, The University of 436 CC-Hall D North Carolina at Chapel Hill Contributed Oral Poster Presentations—

Contributed Wednesday Applications and case studies Section on Statistical Learning and Data Mining 47 Application of Periodic Autoregressive Moving Average Chair(s): Lara Schmidt, RAND Corporation (PARMA) Models in Water-Quality Trend Analysis of Minnesota River—◆Deepak Sanjel, Minnesota State Statistical Analysis of Text University; Mohammad L. Rahman, Minnesota 37 Statistical Learning of Word Acquisition with Application State University to Readability Prediction—◆Paul B. Kidwell, Purdue University; Guy Lebanon, Georgia Institute of Technology; Biometrics, bioinformatics, computational biology Kevyn Collins-Thompson, Microsoft Research 48 Methods for the Processing of Large-Scale High- Resolution LC/MS Data—◆Tianwei Yu, Emory University Data mining and knowledge discovery, machine learning 38 Performance of Algorithms for Chemometric Calibration— Social and behavioral science ◆Stanislav Zakharkin, Solae; David Ryan, Solae; Nicole Mueth, Solae; Kyoungmi Kim, University of California, Davis 49 Regression Trees for Group-Randomized Trials— ◆Anne-Michelle Noone, Georgetown University; 39 Spatial Voxel Co-Occurrence Matrices and Correction Rebecca Andridge, University of Michigan Functions for Multiple Magnetic Resonance Imaging Scanners—◆Arpad G. Kelemen, University of Maryland, Baltimore; Yulan Liang, University of Maryland, Baltimore Mathematical statistics, distribution theory, robust statistics 50 Outlier Detection in Functional Data Analysis— ◆Pallavi Sawant, Auburn University; Nedret Billor, Auburn University

Washington, DC 195 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Computational statistics, numerical methods, simulation 59 Accounting for Exposure Measurement Error in 51 Supervised Dimensionality Reduction on the Fusion of Environmental Epidemiology—◆Adam Szpiro, University Dissimilarity Matrices—◆Zhiliang Ma, Johns Hopkins of Washington; Lianne Sheppard, University of Washington; University; Carey E. Priebe, Johns Hopkins University Thomas Lumley, University of Washington 60 Regression Analysis on a Covariate with Heteroscedastic Measurement Error—◆Ying Guo, University of Michigan; Categorical, multivariate analysis Roderick J.A. Little, University of Michigan 52 A Nonparametric Model for Multiclass Multidimensional 61 An Ordinal Logistic Regression Model with Classification—Hua Fang, University of Nebraska-Lincoln; ◆Honggang Wang, University of Nebraska-Lincoln Misclassification of the Outcome Variable and a Covariate—◆Beverly A. Shirkey, The University of Texas Health Science Center at Houston; Stephen C. Waring, The Bayesian statistics, hierarchical models University of Texas Health Science Center at Houston; Jay 53 Application of Transportation Problem to Improve ‘Naïve’ H. Glasser, The University of Texas Health Science Center Bayes Classifier—◆Michael Zakharevich, Align Technology, at Houston; Wenyaw Chan, The University of Texas Health Inc.; Olena Tsvirkunova, Align Technology, Inc.; Vadim Science Center at Houston Matov, Align Technology, Inc. 62 Generalized Multiple Indicators Multiple Causes Measurement Error Models—◆Carmen D. Tekwe, State University of New York at Buffalo; Randy L. Carter, State Categorical, multivariate analysis University of New York at Buffalo; Harry Cullings, Radiation 54 Clustering Relationships in High-Dimensional Data— Effects Research Foundation ◆Timothy Au, Cornell University; Wei Jiang, Hong Kong University of Science and Technology 63 Confidence Interval for the Odds Ratio Using Double Sampling—◆Denka Markova, Baylor University; Dean Young, Baylor University Applications and case studies 55 Power Simulation Using Nonlinear Bayesian Prediction Model on Alcohol Dependence Literature Database— ◆Yun-Fei Chen, Eli Lilly and Company; Haoda Fu, 438 CC-Hall D Eli Lilly and Company ■ Topic-Contributed Oral Poster Presentations: Case Studies in Epidemiology—Topic- Experimental design Contributed 56 Planning the Optimal Get-Out-the-Vote Campaign Using Section on Statistics in Epidemiology ◆ Randomized Field Experiments— Aaron Strauss, Organizer(s): Natalie C. Hall, Eli Lilly and Company Princeton University; Kosuke Imai, Princeton University Chair(s): Lara Schmidt, RAND Corporation

Data mining and knowledge discovery, machine learning Health policy, epidemiology, public health 57 A Comparison of Logic Regression and CART for 64 The Obesity Epidemic in Maryland: An Analysis and ◆ Identifying Important SNP Interactions— Wonsuk Yoo, Proposal for Change—◆Simone A. Robers, Education Wayne State School of Medicine; Michele Cote, Karmanos Statistics Services Institute Cancer Institute/Wayne State University; Ann Schwartz, Karmanos Cancer Institute 65 Discussion on Bivariate Reference Ranges of QT Interval and Heart Rate—◆Tianhe Xu, Binzhou Medical College; Zengli Shi, Binzhou Medical College; Hongwei Sun, Binzhou Medical College; Jiu Wang, Binzhou Medical College; Yong 437 CC-Hall D Gao, Binzhou Medical College 66 Identifying Early Determinants of Overweight/Obesity Topic-Contributed Oral Poster Presentations: Among Preschoolers: A Comparison of Classification Measurement Error and Misclassification in Trees, Multivariate Adaptive Regression Splines, and Epidemiology—Topic-Contributed Logistic Regression—◆Panagiota Kitsantas, Section on Statistics in Epidemiology George Mason University Organizer(s): Lara Schmidt, RAND Corporation 67 An Empirical Identification of Subgroups of Patients with Chair(s): Lara Schmidt, RAND Corporation Knee Replacements—◆Charles Saltzman, The University of Utah; Man Hung, The University of Utah; Tom Greene, The University of Utah; Richard Johnston, The University of Health policy, epidemiology, public health Iowa; Daniel Clegg, The University of Utah; John Callaghan, 58 Sensitivity Analysis for Covariate Misclassification in University of Iowa Logistic Regression via Predictive Value Weights—Robert 68 Prediction of Functional Status for the Elderly Based on H. Lyles, Emory University; ◆Ji Lin, Emory University Double Indexed TORQUE—◆Hyokyoung (Grace) Hong, Baruch College; Jianhui Zhou, University of Virginia; Xuming He, University of Illinois at Urbana-Champaign

196 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

69 The Social and Geographic Context of Obesity 440 CC-Hall D and Diabetes Epidemics—◆Xingyou Zhang, CDC; Contributed Oral Poster Presentations: James Holt, CDC Statistical Methods in Epidemiology— Contributed Section on Statistics in Epidemiology 439 CC-Hall D Chair(s): Lara Schmidt, RAND Corporation ■ Topic-Contributed Oral Poster Presentations: Statistical Methods for Mental Health Studies— Health policy, epidemiology, public health Topic-Contributed 77 Identifying Clusters of Mortality from Selected Causes Section on Statistics in Epidemiology of Death by Health Service Area: USA 2003–2005— ◆ Organizer(s): Ralph M. Turner, University of the Sciences Jay H. Kim, CDC/NCHS; Rong Wei, National Center for Health Statistics Chair(s): Lara Schmidt, RAND Corporation

Health policy, epidemiology, public health Applications and case studies ◆ 70 Assessing the Effect of Treatment Strategies for 78 Children’s Health: The Effect of Air Pollution— Elizabeth Longitudinally Observed Outcome Data—◆Sachiko A. Stanwyck, University of Maryland, Baltimore County; Miyahara, University of Pittsburgh; Abdus S. Wahed, Bimal Sinha, University of Maryland, Baltimore County University of Pittsburgh 79 Application of an Extended Poisson Process to Model ◆ 71 Variance Estimates for Synthetic Estimation of Need for Cardiovascular Events— Paul Kolm, Christiana Care Mental Health Services—◆Hoang Nguyen, LifeStat LLC; Health System; Zugui Zhang, Christiana Care Health Charles E. Holzer, III, The University of Texas Medical System; Edward Ewen, Christiana Care Health System; Branch at Galveston James Bowen, Christiana Care Health System 72 Detecting Schizophrenia Liability in Healthy First-Degree Relatives of Schizophrenics: A Finite Mixture Health policy, epidemiology, public health Model Approach—◆Charity J. Morgan, The University 80 A Comparison of Methods for Analysis of Multidimensional of Alabama at Birmingham; Deborah L. Levy, McLean Profiles—◆Margo A. Sidell, Tulane University Hospital; Mark F. Lenzenweger, State University of New York at Binghamton; Donald B. Rubin, Harvard University Linear models, GLMs, parametric methods 73 Bayesian Analysis of Doubly Censored Data with Covariates with Application to AIDS and Dementia— 81 Test Coefficients Regression When the Variables Are Not ◆Binbing Yu, National Institute on Aging Independent from Each Other—Leann Myers, Tulane University; ◆Adriana C. Dornelles, Tulane University 74 Comparing Diagnostic Tools: Different Methods, Same Story?—◆Novie Younger, Tropical Medicine Research Institute, Jamaica; Audrey Pottinger, University of the Health policy, epidemiology, public health West Indies 82 Confidence Interval for the Product of a Relative Risk 75 SF-36 Among Older Americans with Traumatic Brain and a Probability—◆William M. Reichmann, Brigham Injury: Reliability, Factor Structure, and Impact of Injury and Women’s Hospital; Charles R. Horsburgh, Jr., Boston Wednesday Severity and Race—◆Chengwu Yang, Medical University University School of Public Health; David Gagnon, of South Carolina; Anbesaw W. Selassie, Medical University Boston University School of Public Health; Elena of South Carolina; Rickey E. Carter, Medical University of Losina, Boston University South Carolina; Barbara C. Tilley, Medical University of 83 Distributions of Pediatric Blood Pressure Index and South Carolina Percentiles: Implications as Diagnostic Tools—◆Cynthia 76 A Sequential Approach of an Age-Period-Cohort Bell, The University of Texas Health Science Center at Analysis—◆Kit Ling Yang, The University of Hong Kong Houston; Alisa Acosta, The University of Texas Health Science Center at Houston; Karen McNiece, University of Arkansas Medical School/Arkansas Children’s Hospital; Ronald Portman, The University of Texas Health Science Center at Houston; Joshua Samuels, The University of Texas Health Science Center at Houston

Linear models, GLMs, parametric methods 84 A Linear Regression Framework for Receiver Operating Characteristic Curve Analysis—◆Zheng Zhang, Brown University

Washington, DC 197 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Health policy, epidemiology, public health Health policy, epidemiology, public health 85 Analyses of the Accuracy of Cancer Mortality as Measured 93 A Mean Test for Relative-Pairs in Genetic Linkage by Death Certificates Data—Ronaldo Iachan, Macro Analysis—◆Qimei He, Pacific Health Research Institute International, Inc.; ◆Aliza Fink, Macro International, Inc. 94 Prevalence of Diabetes in Low-Income and First Nations People in Alberta, Canada—◆Greg M. Hugel, University Graphics, visualization of Alberta; Jeffrey A. Johnson, University of Alberta; Stephanie U. Balko, 86 Using L’Abbe Plots, Event Rate Migration Analysis/Event Rate Curves to Report BMI Results from the Medical College of Georgia FitKid Project—◆John Hanes, Linear models, GLMs, parametric methods Regent University 95 Association Study with Multiple Markers on a Candidate Region and Disease via Generalized Partial Least Squares Longitudinal data, repeated measurements, and Approach—◆Hyonho Chun, Yale University meta-analysis 87 Quantitative Synthesis of Dichotomous Data: Avoiding Health policy, epidemiology, public health Dominance of a Single Study—◆Kepher H. Makambi, 96 Cancer Genetics Network: A Research Resource—◆Nora Georgetown University Medical Center Horick, Massachusetts General Hospital; Dianne M. 88 Application of Joint Modeling for Growth Model and Finkelstein, Harvard/Massachusetts General Hospital Time-to-Event Analysis—◆Wan-Ling Hsu, Radiation Effects Research Foundation; Kazuo Neriishi, Radiation Biometrics, bioinformatics, computational biology Effects Research Foundation; Tatsuyuki Kakuma, Kurume University; Yuko Araki, Kurume University 97 Detecting Association with Rare Genetic Variants in Common Diseases—◆Yali Li, Case Western Reserve University; Tao Feng, Case Western Reserve University; Health policy, epidemiology, public health Xiaofeng Zhu, Case Western Reserve University 89 A Two-Component Mixture Model for Characterizing the Age Distribution of Pertussis Infant Mortality in the United Health policy, epidemiology, public health States—◆Andrew L. Baughman, CDC; Tracy Pondo, CDC; Barry Sirotkin, CDC; Tejpratap Tiwari, CDC; Charles E. 98 Stomach Cancer Risk in Hodgkin Lymphoma and ◆ Rose, CDC; Margaret M. Cortese, CDC Testicular Cancer Survivors— Julia T. Molony, The University of Minnesota; Ethel Gilbert, National Cancer Institute, Division of Cancer Epidemiology and Genetics Longitudinal data, repeated measurements, and meta-analysis Reliability and survival modeling, risk analysis 90 Bayesian Longitudinal Plateau Model of Adult Grip 99 Penalized Splines in the Time-Varying Coefficient Rates Strength with Multiple Imputation for Missing Response Model—◆Leila D. Amorim, Universidade Federal da Bahia; and Covariates—◆Ramzi W. Nahhas, Lifespan Health Jianwen Cai, The University of North Carolina at Chapel Research Center; Stefan A. Czerwinski, Lifespan Health Hill; Donglin Zeng, The University of North Carolina at Research Center Chapel Hill; Mauricio L. Barreto, Universidade Federal da Bahia Bayesian statistics, hierarchical models 91 Interval Estimators for Directly Standardized Rates— Health policy, epidemiology, public health ◆Tracy Pondo, CDC; Charles E. Rose, CDC; Amanda C. 100 Identification of the Most Appropriate ICD Version for Cohn, CDC; Elizabeth R. Zell, CDC Epidemiologic Studies: Description of a Statistical Method—◆Ja K. Gu, National Institute for Occupational Longitudinal data, repeated measurements, and Safety and Health; Luenda E. Charles, National Institute for meta-analysis Occupational Safety and Health; Cecil M. Curchfiel, National 92 How to Improve a Biomarker’s Efficacy Using Institute for Occupational Safety and Health; Michael E. Longitudinal Data: Application to Prostate Cancer— Andrew, National Institute for Occupational Safety and ◆Anna E. Kettermann, Johns Hopkins University; Luigi Health; John M. Violanti, State University of New York Ferrucci, National Institute on Aging; E. Jeffrey Metter, at Buffalo National Institute on Aging; H. Ballentine Carter, Johns Hopkins University Biometrics, bioinformatics, computational biology 101 A Score-Based Combinatorial Approach to Detecting Gene-Gene Interactions in Nuclear Families—◆Xiaoqi Cui, Michigan Technological University; Huann-Sheng Chen, Michigan Technological University

198 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:35 a.m. Evaluating Player Performance in Basketball— Special Presentation ◆Matthew S. Johnson, Teachers College 10:30 a.m.–12:20 p.m. 12:05 p.m. Floor Discussion

441 CC-207A Late-Breaking Session III: Statistics in the New 444 CC-209A Administration ■ Recent Developments in Seasonal Adjustment ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical Methodology—Invited Association, International Indian Statistical Association Business and Economic Statistics Section, Section on Government Organizer(s): Wendy Martinez, U.S. Department of Defense Statistics Organizer(s): Brian C. Monsell, U.S. Census Bureau Chair(s): Tucker S. McElroy, U.S. Census Bureau

Invited Sessions 10:35 a.m. Recent Developments in Trend-Cycle Prediction for 10:30 a.m.–12:20 p.m. Real Time Analysis—◆Estela Bee Dagum, University of Bologna; Silvia Bianconcini, University of Bologna 11:00 a.m. Identification of Problematic Series in Model-Based 442 CC-204C Seasonal Adjustment of Large Sets—◆Agustin ✪ Statistical Analysis in the Presence of Maravall, Bank of Spain Measurement Error—Invited 11:25 a.m. Periodic Unobserved Components in Seasonal Section on Statistics in Epidemiology, Section on Bayesian Time Series—◆Siem Jan Koopman, Vrije Statistical Science Universiteit Amsterdam Organizer(s): Huixia (Judy) Wang, North Carolina State University 11:50 a.m. Stock Series Holiday Regressors Generated by Chair(s): Huixia (Judy) Wang, North Carolina State University Flow Series Regressors—◆David Findley, U.S. Census Bureau 10:35 a.m. Cox Models with Smooth Functional Effect of 12:15 p.m. Floor Discussion Covariates Measured with Error—◆Ciprian M. Crainiceanu, Johns Hopkins University 11:00 a.m. Quantile Regression with Measurement Error— ◆Ying Wei, Columbia University; Raymond J. 445 CC-150A Carroll, Texas A&M University ■ ✪ Emerging Statistical Challenges in Cancer 11:25 a.m. Identification and Estimation of Nonparametric Research—Invited Measurement Error Models—◆Susan Schennach, International Indian Statistical Association, The University of Chicago Biopharmaceutical Section 11:50 a.m. Measurement Error Models for Variance Organizer(s): Bhramar Mukherjee, University of Michigan Wednesday Predictors—◆Leonard A. Stefanski, North Carolina Chair(s): Bhramar Mukherjee, University of Michigan State University 12:15 p.m. Floor Discussion 10:35 a.m. Predictive Models of Complex Traits: Inference of Statistical Dependencies and Predictive Geometry—◆Sayan Mukherjee, Duke University 11:00 a.m. On Analyzing Routes of Exposures Obtained from 443 CC-206 Questionnaires—◆Jaya Satagopan, Memorial ■ Evaluating and Predicting Player Sloan-Kettering Cancer Center Performance—Invited 11:25 a.m. Multiple Testing Procedures for Integrative Section on Statistics in Sports Genomics Problems in Cancer Studies—◆Debashis Organizer(s): Matthew S. Johnson, Teachers College Ghosh, Penn State University; Laila M. Poisson, Chair(s): Ronald Neath, Baruch College University of Michigan 11:50 a.m. Survival Trees and Forest for Breast Cancer 10:35 a.m. Beyond +/-: A Rating System to Compare NHL Prognostication—◆Mousumi Banerjee, University of Players—◆Dennis F. Lock, St. Lawrence University Michigan; David Miller, University of Michigan 11:05 a.m. A Survey of Methods for the Statistical Evaluation 12:15 p.m. Floor Discussion of Defensive Ability in Major League Baseball— ◆Benjamin S. Baumer, CUNY Graduate Center

Washington, DC 199 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

446 CC-202B 448 CC-158B ■ ✪ Statistics in Biopharmaceutical Research: Health Impact of Climate Change—Invited Novel Approaches to Designing Adaptive Section on Bayesian Statistical Science, Section on Risk Clinical Trials—Invited Analysis, Section on Statistics and the Environment, Section on Statistics in Biopharmaceutical Research Journal, Government Statistics Biopharmaceutical Section Organizer(s): Francesca Dominici, Johns Hopkins University Organizer(s): Joseph Heyse, Merck Research Laboratories Chair(s): Francesca Dominici, Johns Hopkins University Chair(s): Joseph Heyse, Merck Research Laboratories 10:35 a.m. The Health Effects of Heat Waves—◆Roger D. Peng, 10:35 a.m. Flexible Phase I Clinical Trials: Allowing for Johns Hopkins Bloomberg School of Public Health Nonbinary Toxicity Response and Removal of 11:05 a.m. Regional Climate, NARCCAP, and Health Impacts— Other Common Limitations—◆Richard F. ◆Stephan R. Sain, National Center for Atmospheric Potthoff, Duke University Medical Center; Research; Claudia Tebaldi, Climate Central Stephen L. George, Duke University 11:35 a.m. The Potential Impact of Climate Change on Health Medical Center Through Tropospheric Ozone—◆Michelle L. Bell, 11:00 a.m. T-Statistic-Based Up and Down Design for Dose- Yale University Finding Competes Favorably with Bayesian 12:05 p.m. Floor Discussion 4-Parameter Logistic Design—◆James A. Bolognese, Cytel, Inc.; Nitin R. Patel, Cytel, Inc.; Yevgen Tymofyeyef, Merck & Co., Inc.; Inna Perevozskaya, Merck & Co., Inc.; Jeffrey Palmer, Cytel, Inc. 449 CC-201 11:25 a.m. Adaptive Dose-Finding in Non-Life-Threatening Diseases: Review and Case Studies—◆Anastasia Bayesian Methods in Medicine and Biology— Ivanova, The University of North Carolina at Invited Chapel Hill WNAR, Section on Bayesian Statistical Science, Biometrics Section, Biopharmaceutical Section 11:50 a.m. Variance-Based Sample Size Reassessments Increase Relative Efficiency of Studies— Organizer(s): Wesley O. Johnson, University of California, Irvine ◆Deepak B. Khatry, MedImmune, LLC Chair(s): Wesley O. Johnson, University of California, Irvine 12:15 p.m. Floor Discussion 10:35 a.m. A Bayesian Theory of Surprise for Modeling Attention Mechanisms in Natural and Artificial Perceptual Systems: Application to Eye 447 CC-209C Movements—◆Pierre Baldi, University of ■ Career Advice for Female Industrial California, Irvine Statisticians—Invited 11:05 a.m. Automated Methods for Complex Image Data: Adaptive Bayesian Image Mixed Models—◆Jeffrey Section on Quality and Productivity S. Morris, The University of Texas M.D. Anderson Organizer(s): Diane K. Michelson, International SEMATECH Cancer Center Manufacturing Initiative 11:35 a.m. Bayesian Nonparametric Techniques in Genome- Chair(s): Diane K. Michelson, International SEMATECH Wide Association Studies—◆Purushottam W. Laud, Manufacturing Initiative Medical College of Wisconsin; Nicholas M. Pajewski, The University of Alabama at Birmingham 10:35 a.m. Building a Career in Industry—◆Martha Gardner, 12:05 p.m. Floor Discussion General Electric Global Research 11:05 a.m. Making the Move from Statistician to Management—◆Leslie Fowler, Freescale Semiconductor 11:35 a.m. Thriving, Not Just Surviving, as a Statistician— ◆Joanne R. Wendelberger, Los Alamos National Laboratory 12:05 p.m. Floor Discussion

200 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

450 CC-144B 11:35 a.m. Problems Resulting from the Avalanche of Genetic ◆ ■ Information— Robert C. Elston, Case Western Distance Teaching in Practice: Bring Your Reserve University Laptop and Experience for Yourself—Invited 12:05 p.m. Floor Discussion Section on Teaching of Statistics in the Health Sciences, Interface Foundation of North America Organizer(s): Carol Bigelow, University of Massachusetts Amherst Chair(s): Cynthia Coffman, Duke University Medical Center 453 CC-207B Wald Lecture II—Invited 10:35 a.m. Teaching Health Professionals Online: Keeping IMS It Real—◆Penelope S. Pekow, University of Organizer(s): Michael Kosorok, The University of North Carolina at Massachusetts Amherst Chapel Hill 11:00 a.m. An Interactive Web-Based Introduction to Chair(s): Yufeng Liu, The University of North Carolina at Chapel Hill Biostatistics for Health Practitioners—◆Jacob J. Oleson, The University of Iowa 10:35 a.m. Decision Trees and Gradient Boosting— 11:25 a.m. Duke Medicine Teaching: Multiple Simultaneous ◆Jerome H. Friedman, Stanford University Sites and Technical Presentations with SAS— ◆Lawrence H. Muhlbaier, Duke University; Cynthia 12:00 p.m. Floor Discussion Coffman, Duke University Medical Center; Steven C. Grambow, Duke University; Linda S. Lee, Duke University; William E. Wilkinson, Duke University 11:50 a.m. The Virtual Data Analysis Classroom: A Live Invited Panels 10:30 a.m.–12:20 p.m. Demonstration—◆Guillaume Weisang, Bentley University; Olumayokun Soremekun, Bentley University 454 CC-143B 12:15 p.m. Floor Discussion ■ ✪ Future of Random-Digit-Dial Telephone Surveys—Invited Section on Government Statistics, Section on Survey Research Methods, Social Statistics Section 451 CC-144C Organizer(s): Meena Khare, CDC Noether Awards Invited Session—Invited Chair(s): Sunghee Lee, University of California, Los Angeles Noether Award Committee Organizer(s): Carlos J. Morales, Wellington Management Panelists: ◆Linda B. Piekarski, Survey Sampling Company, LLP International, LLC Chair(s): Carlos J. Morales, Wellington Management Company, LLP ◆Meena Khare, CDC ◆James A. Singleton, CDC 10:35 a.m. Extending SS-ANOVA Models with Pedigree Data— ◆ Wednesday ◆Grace Wahba, University of Wisconsin-Madison Michael P. Battaglia, Abt Associates Inc. ◆ 11:20 a.m. Semiparametric Efficient Estimation in the Case- Michael J. Brick, Westat, Inc. Cohort Study—◆Donglin Zeng, The University of ◆David Grant, University of California, Los Angeles North Carolina at Chapel Hill 12:15 p.m. Floor Discussion 12:05 p.m. Floor Discussion

452 CC-159B Cautionary Tales of Modern Statistical Methods—Invited IMS, Section on Bayesian Statistical Science Organizer(s): Peter Hoff, University of Washington Chair(s): Aleksandra B. Slavkovic, Penn State University

10:35 a.m. Inference Post-Model Selection: The Good, The Bad, and The Ugly—◆Hannes Leeb, Yale University 11:05 a.m. MCMC: Does It Work? How Can We Tell?— ◆Charles J. Geyer, The University of Minnesota

Washington, DC 201 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Topic-Contributed Sessions 457 CC-158A ■ Bayesian Nonparametric Methods for Time 10:30 a.m.–12:20 p.m. Series and Functional Data—Topic-Contributed Section on Bayesian Statistical Science 455 CC-159A Organizer(s): Sam Behseta, California State University, Fullerton ✪ Population Monte Carlo, SMC Sampler— Chair(s): Herbert Lee, University of California, Santa Cruz Topic-Contributed Section on Bayesian Statistical Science 10:35 a.m. Bayesian Nonparametric Mixture Modeling Organizer(s): Julien Cornebise, Statistical and Applied Mathematical for Poisson Processes with an Application to Sciences Institute Comparison of Single-Neuron Firing Intensities— Chair(s): Christian P. Robert, Université Paris Dauphine ◆Athanasios Kottas, University of California, Santa Cruz ◆ 10:35 a.m. Adaptive Design of Transition Kernels in Sequential 10:55 a.m. Markov Models for Neuronal Spike Trains— Jeffrey Monte Carlo Methods—◆Julien Cornebise, Liebner, Lafayette College; Athanasios Kottas, Statistical and Applied Mathematical Sciences University of California, Santa Cruz; Abel Rodriguez, Institute; Eric Moulines, Telecom ParisTech; University of California, Santa Cruz; Kert Viele, Jimmy Olsson, Lund University University of Kentucky; Sam Behseta, California State University, Fullerton 10:55 a.m. Some Conditional Binary Sequences—◆Ian H. ◆ Dinwoodie, Duke University 11:15 a.m. Multilevel Functional Clustering— Abel Rodriguez, University of California, Santa Cruz 11:15 a.m. Adaptive Multiple Importance Sampling—◆Jean- Michel Marin, University Montpellier II; Jean-Marie 11:35 a.m. Integrating Bayesian Time Series Methods Into ◆ Cornuet, Imperial College, London; Antonietta Mira, Self-Modeling Regressions— Kert Viele, University University of Insubria; Christian P. Robert, Université of Kentucky; Rhonda VanDyke, Cincinnati Children’s Paris Dauphine Hospital Medical Center ◆ 11:35 a.m. An Improved Analysis of the Product Estimator— 11:55 a.m. Multiple Curve-Fitting with BARS— Sam Behseta, ◆Mark Huber, Duke University; Sarah Schott, California State University, Fullerton; Robert E. Kass, Duke University Carnegie Mellon University 11:55 a.m. Population Monte Carlo and Cosmology—◆Darren 12:15 p.m. Floor Discussion Wraith, Université de Paris Dauphine 12:15 p.m. Floor Discussion 458 CC-143C ■ ✪ Innovative Methods and Findings from 456 CC-209B Health Care Assessment Surveys—Topic- ■ ✪ The Development of Advanced Lifetime Contributed Data Analysis in Industrial Settings—Topic- Section on Health Policy Statistics, Section on Bayesian Statistical Contributed Science, Section on Government Statistics Organizer(s): Alan M. Zaslavsky, Harvard Medical School Section on Physical and Engineering Sciences, Section on Quality and Productivity Chair(s): Steven Cohen, Agency for Healthcare Research and Quality Organizer(s): I-Li Lu, The Boeing Company Chair(s): I-Li Lu, The Boeing Company 10:35 a.m. Using the Census Bureau’s Surname List to Improve Estimates of Race/Ethnicity and Associated Disparities—◆Marc N. Elliott, RAND 10:35 a.m. Statistical Aspects of Monitoring Time-Managed Corporation; Peter A. Morrison, RAND Corporation; Lifetime Data—◆Emmanuel Yashchin, IBM Research Allen Fremont, RAND Corporation; Daniel F. 10:55 a.m. Exceedence Monitoring and Alerting Mechanism McCaffrey, RAND Corporation; Philip Pantoja, RAND for the Boeing In-Service Reliability Program— Corporation; Nicole Lurie, RAND Corporation ◆Shuying Zhu, The Boeing Company 10:55 a.m. Methodological Issues in the Analysis of Responses 11:15 a.m. Data-Driven Reliability Estimation for Prognostics to CAHPS Questions in the Medical Expenditure and Health Management—◆Aparna Huzurbazar, Panel Survey (MEPS)—◆Paul Gorrell, Social & Los Alamos National Laboratory Scientific Systems, Inc. 11:35 a.m. Estimating Lifetimes When Several Unidentified 11:15 a.m. Optimal Survey Design When Nonrespondents Components Are Reported—◆Julio L. Peixoto, Are Subsampled for Follow-Up in a Comparative The Boeing Company Study—◆A. James O’Malley, Harvard Medical 11:55 a.m. Disc: Anbessie Yitbarec, The Boeing Company School; Alan M. Zaslavsky, Harvard Medical School 12:15 p.m. Floor Discussion

202 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:35 a.m. A Simulation Study of Design Effect Approximations 11:15 a.m. Can Apparent Diffusion Coefficient Be a Predictive for Propensity-Score Weighted Data with Biomarker in Glioblastoma Multiforme Patients?— Application to the MCAHPS Survey—◆Amelia M. ◆Hyun (Grace) J. Kim, University of California, Haviland, RAND Corporation; Marc N. Elliott, RAND Los Angeles Corporation; Mary Slaughter, RAND Corporation 11:35 a.m. Percentage of Survival Variation Explained by 11:55 a.m. Random Coefficients Models for Subgroup a Continuous Marker—◆Caixia Li, University of Differences in Surveys of Health Care Quality— California, San Francisco; Ying Lu, University of ◆Alan M. Zaslavsky, Harvard Medical School; A. California, San Francisco James O’Malley, Harvard Medical School 11:55 a.m. Disc: Sue-Jane Wang, FDA 12:15 p.m. Floor Discussion 12:15 p.m. Floor Discussion

459 CC-150B 461 CC-155 ■ ✪ The Statistics of Election Auditing— Undergraduate Statisticians: Developing Topic-Contributed Evidence to Improve Environmental Policy— Scientific and Public Affairs Advisory Committee, Topic-Contributed Social Statistics Section Section on Statistics and the Environment Organizer(s): Mary Foulkes, George Washington University Organizer(s): William F. Hunt, Jr., North Carolina State University Chair(s): Mary Foulkes, George Washington University Chair(s): William F. Hunt, Jr., North Carolina State University

10:35 a.m. Election Auditing: A Report from Florida— 10:35 a.m. Crustal Matter: Exploring the Differences Between ◆Linda J. Young, University of Florida Ambient Air Samples and Emissions Inventory— 10:55 a.m. Post-Election Audit Efforts in Iowa: Successes ◆Jennifer M. James, North Carolina State University; and Challenges—◆Jonathan M. Hobbs, Iowa State Camille Clark, North Carolina State University; Jeff University; David Rockoff, Iowa State University; Rice, North Carolina State University Russell V. Lenth, The University of Iowa; Rahul A. 10:55 a.m. Forecasting Wildfires and Examining the Impact Parsa, Drake University; Alicia L. Carriquiry, Iowa of Global Climate Change—Jamie Pearce, North State University Carolina State University; ◆Jason Leone, North 11:15 a.m. Oregon 2008 ‘Hand Recounts’—◆Albyn C. Jones, Carolina State University; Kristen L. Gore, North Reed College Carolina State University 11:35 a.m. Statistical Auditing Techniques and Small Errors 11:15 a.m. Meteorologically Adjusted Particulate Matter Trend in Four Races in California—◆Luke W. Miratrix, Analysis—◆Kristen L. Gore, North Carolina State University of California, Berkeley; Philip B. Stark, University; Marshall Gaddis, North Carolina State University of California, Berkeley University; Nicole Bader, North Carolina State 11:55 a.m. Disc: Mary Batcher, Ernst and Young LLP University

12:15 p.m. Floor Discussion 11:35 a.m. Can Blood Lead Levels in Children Be Reduced?— Wednesday ◆Steve Somers, North Carolina State University; Ashley Myers, North Carolina State University; Erika Burger, North Carolina State University 460 CC-101 11:55 a.m. Disc: Roger Woodward, North Carolina ■ Characteristics of Biomarker in the Clinical State University Development and Adoption—Topic-Contributed 12:15 p.m. Floor Discussion Biometrics Section Organizer(s): Grace Kim, Radiological Science, UCLA Chair(s): Constantine Gatsonis, Brown University

10:35 a.m. Biomarker and Clinical Endpoint in Asthma— ◆Yun Chon, Amgen, Inc. 10:55 a.m. Identification of Patient Stratification Biomarkers for ABT-263—◆Viswanath Devanarayan, Abbott Laboratories; Mark Anderson, Abbott Laboratories; Peter Ansell, Abbott Laboratories; Chris Tse, Abbott Laboratories; Stephen Tahir, Abbott Laboratories

Washington, DC 203 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

462 CC-208A Topic-Contributed Panels Bayesian Estimation of Diffusion Models— Topic-Contributed 10:30 a.m.–12:20 p.m. Business and Economic Statistics Section, Section on Bayesian Statistical Science 464 CC-202A Organizer(s): Osnat Stramer, The University of Iowa ■ Industry-Sponsored Science: Are Consultants Chair(s): Osnat Stramer, The University of Iowa Really Biased?—Topic-Contributed Section on Statistics in Epidemiology 10:35 a.m. Bayesian Filtering for Jump-Diffusions—◆Andrew Organizer(s): Michael E. Ginevan, M.E. Ginevan & Associates Golightly, Newcastle University Chair(s): Russell W. Helms, UNC Department of Biostatistics and 10:55 a.m. Estimation of Continuous-Time Stochastic Volatility Chief Technical Officer at Rho Models with Jumps Using High-Frequency Data— ◆ Viktor Todorov, Northwestern University Panelists: ◆Michael E. Ginevan, M.E. Ginevan & Associates 11:15 a.m. Bayesian Inference for Discretely Sampled Diffusion ◆S. Stanley Young, National Institute of ◆ Processes— Matthew Bognar, The University Statistical Sciences of Iowa ◆Allen Heller, Bayer HealthCare Pharmaceuticals 11:35 a.m. Particle Filter for Partially Observed Stochastic Partial Differential Equation with Fractional Levy ◆Peter A. Lachenbruch, Oregon State University Ornstein-Uhlenbeck Stochastic Volatility— ◆Robert Obenchain, Risk Benefit Statistics LLC ◆ Jaya Bishwal, The University of North 12:10 p.m. Floor Discussion Carolina at Charlotte 11:55 a.m. EMM MCMC and Bayesian Parameter Estimation for a Partially Observed Nonlinear Diffusion Process—◆Paul Schneider, University of 465 CC-149B Warwick; Osnat Stramer, The University of Iowa ■ Words from the Wise: Mu Sigma Rho 12:15 p.m. Floor Discussion Education Award Winners Tell All!— Topic-Contributed Section on Statistical Education 463 CC-102B Organizer(s): Roxy Peck, Cal Poly ■ Statistical Issues in Thorough QT Studies— Chair(s): Roxy Peck, Cal Poly Topic-Contributed Biopharmaceutical Section Panelists: ◆Robin H. Lock, St. Lawrence University Organizer(s): Yi Tsong, FDA ◆Thomas H. Short, John Carroll University Chair(s): Lihan Yan, FDA ◆Michael Kutner, Emory University 12:05 p.m. Floor Discussion 10:35 a.m. Error in Variable Modeling for QT Correction— ◆Bin Cheng, Columbia University; Yi Tsong, FDA 10:55 a.m. Multiple Testing Issues of Prolongation Thorough QTc Clinical Trials—Yi Tsong, FDA; ◆Jinglin Zhong, 466 CC-143A FDA; Joanne Zhang, FDA ✪ National Health Care Surveys Design Changes 11:15 a.m. Adaptive type I error rate spending approach for 2004–2010: New Evidence for Policymakers— validation and non-inferiority tests of thorough QT Topic-Contributed ◆ studies— Yi Tsong, FDA; Joanne Zhang, FDA Section on Survey Research Methods, Section on 11:35 a.m. Sample Size in Oncology QT Studies—◆Joanne Government Statistics Zhang, FDA Organizer(s): Esther Hing, National Center for Health Statistics 11:55 a.m. Disc: Jie Chen, Merck & Co., Inc. Chair(s): Esther Hing, National Center for Health Statistics 12:15 p.m. Floor Discussion Panelists: ◆Linda McCaig, National Center for Health Statistics ◆Alan Simon, National Center for Health Statistics ◆Sandra L. Decker, National Center for Health Statistics ◆Lauren Harris-Kojetin, National Center for Health Statistics 12:15 p.m. Floor Discussion

204 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

10:50 a.m. Weighted Composite Endpoints in the Analysis Contributed Sessions of Cardiovascular Clinical Trial Data: Addressing 10:30 a.m.–12:20 p.m. an Unmet Need—◆Jeffrey A. Bakal, University of Alberta; Cynthia M. Westerhout, University of Alberta; Robert C. Welsh, University of Alberta; 467 CC-204A Paul W. Armstrong, University of Alberta Analysis of High-Dimensional Data— 11:05 a.m. Semiparametric Inference for a Time-Dependent Contributed Extended Hazard Model—◆Yi-Kuan Tseng, ENAR, Interface Foundation of North America National Central University; Ken-Ning Hsu, National Central University Chair(s): Mary Mays, Arizona State University 11:20 a.m. M-Estimation in Censored Linear Models Under a Convex Discrepancy Function—◆Weihua Zhou, 10:35 a.m. Lower Confidence Bounds for Prediction Accuracy University of North Carolina in High Dimensions with Feature Selection—◆Kevin K. Dobbin, The University of Georgia 11:35 a.m. Assessing Mediation Effects for Survival Types of Outcomes—Bin Huang, Cincinnati Children’s 10:50 a.m. Application of Randomized Singular Value Hospital Medical Center; ◆Chen Chen, Cincinnati Decomposition for Partial Least Squares Analysis: Children’s Hospital Medical Center Multimodality Neuroimaging Data—◆Bedda L. Rosario, University of Pittsburgh; Lisa A. 12:05 p.m. Floor Discussion Weissfeld, University of Pittsburgh; William E. Klunk, University of Pittsburgh; Chester A. Mathis, University of Pittsburgh; Julie C. Price, University of Pittsburgh 469 CC-144A 11:05 a.m. The Effects of Dimension of Wavelet Resampling on Methods to Look at Individual or Small-Group Tests for Functional Connectivity—◆Ohn Jo Koh, Behavior and the Impact on Data—Contributed Southern Methodist University; William Schucany, Social Statistics Section Southern Methodist University; Richard F. Gunst, Chair(s): Walter Hill, Saint Mary’s College of Maryland Southern Methodist University; Wayne A. Woodward, Southern Methodist University 11:20 a.m. Testing for Gene Effect in Presence of Gene-Gene 10:35 a.m. Multivariate, Multilevel Modeling of Behavioral ◆ Interactions—◆Arnab Maity, Harvard School of Interaction Data— Getachew A. Dagne, University Public Health; Xihong Lin, Harvard School of of South Florida Public Health 10:50 a.m. Plaid Clustering of Urban Juvenile Delinquency ◆ 11:35 a.m. Clinical versus Statistical Significance in Medical and Recidivism Data— Alan J. Izenman, Temple Imaging—◆Thomas F. Heston, Johns Hopkins University; Joseph Jupin, Temple University University; Richard L. Wahl, Johns Hopkins 11:05 a.m. A New Heuristic Search Model for the Identification University of Collusion Sets in Agent-Based Models— ◆ 11:50 a.m. Blind Source Detection in Images: A Multiple Gregory Michaelson, University of Alabama; Marcus Perry, University of Alabama Testing Strategy—◆David A. Friedenberg, Carnegie Wednesday Mellon University 11:20 a.m. Nonparametric Estimation of Individual Activity ◆ 12:05 p.m. The Orthogonal Interactions Model for Unreplicated Spaces— William F. Darnieder, The Ohio State Factorial Experiments—◆Clayton A. Barker, SAS University; Catherine Calder, The Ohio State Institute Inc.; Leonard A. Stefanski, North Carolina University; Mei-Po Kwan, The Ohio State University; State University; Jason Osborne, North Carolina Timothy L. Hawthorne, The Ohio State University; State University Aubrey Jackson, The Ohio State University 11:35 a.m. POINT: A Method for Evaluating the Quality of Interviewing—◆Michael Egan, Social Surveys Division 468 CC-148 11:50 a.m. Leadership Behavior: A Comparative Study Survival Analysis and Semiparametric Models— of Multiple Regression and the Multilevel Contributed Regression—◆Shahid Kamal, University of the Punjab; Rehan Ahmad, University of the Punjab; SSC Muhammad A. Raza, University of the Punjab Chair(s): Paramjit S. Gill, The University of British Columbia 12:05 p.m. Floor Discussion

10:35 a.m. Accelerated Hazards Mixture Cure Model— ◆Yingwei Peng, Queen’s University; Jiajia Zhang, University of South Carolina

Washington, DC 205 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

470 CC-204B 10:50 a.m. Multivariate Quantiles and High-Dimensional Credible Set Construction—◆Nitai D. Methods for Genetic Association Studies— Mukhopadhyay, Virginia Commonwealth Contributed University; Snigdhansu Chatterjee, The Section on Statistics in Epidemiology, Section on Bayesian University of Minnesota Statistical Science 11:05 a.m. Multivariate Disease Mapping (MVDM)—Caroline Chair(s): Sansay Shete, The University of Texas M.D. Anderson Jeffery, Harvard School of Public Health; ◆Al Cancer Center Ozonoff, Boston University School of Public Health; Marcello Pagano, Harvard School of Public Health 10:35 a.m. On Quality Control Measures in Genome-Wide 11:20 a.m. Graphically Analyzing Multivariate Mental Health Association Studies: A Test to Assess the Data: Results from a Cohort of Older Patients Genotyping Quality of Individual Probands in Recently Discharged from a Medical Intensive Care Family-Based Association Studies—◆David Unit—◆Peter H. Van Ness, Yale University Fardo, University of Kentucky; Iuliana Ionita-Laza, 11:35 a.m. On Some Properties of a Simple and More General Harvard School of Public Health; Christophe Boxplot Method for Identifying Outliers—◆Yinaze Lange, Harvard University H. Dovoedo, The University of Alabama; Subhabrata 10:50 a.m. On Combining Data from Genome-Wide Chakraborti, The University of Alabama Association Studies to Discover Disease- 11:50 a.m. A Graphical Test to Distinguish Between the Pareto Associated SNPs—◆Ruth Pfeiffer, National Cancer and Tapered Pareto Distributions—◆Rakhee D. Institute Mitchell H. Gail, National Cancer Institute ; Patel, University of California, Los Angeles 11:05 a.m. A Generalized Sequential Bonferroni Procedure for 12:05 p.m. Reigniting Classroom Research as a Tool for Genome-Wide Association Studies Incorporating Accountability—◆Ronald L. White, Norfolk Information of Hardy-Weinberg Disequilibrium— State University ◆Guolian Kang, The University of Alabama at Birmingham; Guimin Gao, The University of Alabama at Birmingham 11:20 a.m. Score Statistics for Family-Based Genetic 472 CC-149A Association Studies of Quantitative Traits— ◆Samsiddhi Bhattacharjee, National Cancer Applied Programming Session—Contributed Institute; Eleanor Feingold, University of Pittsburgh Section for Statistical Programmers and Analysts, Interface Foundation of North America 11:35 a.m. A Powerful Two-Stage Association Test Using Genotype Data from Family Triads, Unrelated Chair(s): Yong-Fang Kuo, The University of Texas Medical Branch Cases, and/or Controls—◆Jin-Hua Chen, China Medical University; Kuang-Fu Cheng, China Medical 10:35 a.m. Interactive Computer Program for Optimal Designs University; Wei-Jiun Lin, National Central University of Longitudinal Cohort Studies—◆Fetene B. Tekle, 11:50 a.m. Confidence Set Inference (CSI): A Family-Based Tilburg University; Frans E.S. Tan, Maastricht Association Method for Obtaining Confidence Sets University; Martijn Berger, Maastricht University of SNPs Regulating Quantitative Phenotypes— 10:50 a.m. It All Starts with Statistical Programming—◆Nancy ◆Charalampos Papachristou, University of the Wang, MDS Pharma Services Sciences in Philadelphia; Shili Lin, The Ohio 11:05 a.m. Comparing Statistical Software Packages State University for Multilevel Modeling—◆Marie Gantz, RTI 12:05 p.m. Asymptotic Bayes Factor for Genetic Association International; G. Gordon Brown, RTI International; When the Underlying Genetic Model Is Unknown— Randall Bender, RTI International; Jill Fromewick, ◆Mark J. Meyer, National Heart, Lung, and Blood Summit Research Associates; Scott Novak, RTI Institute; Gang Zheng, National Heart, Lung, and International; Dhuly Chowdhury, RTI International; Blood Institute Malavika Subramanyam, Harvard School of Public Health; Theresa L. Osypuk, Northeastern University 11:20 a.m. Open Source Estimation Toolkit for Item Response Theory Modeling—◆Werner Wothke, American 471 CC-153 Institutes for Research ■ ✪ Applications of Graphical Methods— 11:35 a.m. Categorical Data Analysis System—◆Yining Wang, Contributed Johnson & Johnson; C. J. Tian, Johnson & Johnson; Section on Statistical Graphics Lisa Zhou, Johnson & Johnson PRD Chair(s): Bradley C. Wallet, University of Oklahoma 11:50 a.m. Efficacy Analysis System for Clinical Trials—◆Lisa Zhou, Johnson & Johnson PRD; Yining Wang, Johnson & Johnson; C. J. Tian, Johnson & Johnson 10:35 a.m. How Good is Your Eyeballing?—◆David Rockoff, Iowa State University; Heike Hofmann, Iowa State University

206 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

12:05 p.m. Arrow System: An Integrated Statistical Analysis 11:20 a.m. Using Ambiguous Tags in Digital Gene Expression and Reporting System for Clinical Data—◆C. J. Analysis—◆Naomi S. Altman, Penn State University Tian, Johnson & Johnson; Denis Michel, 11:35 a.m. Dynamic Clustering of Temporal Gene Expression Johnson & Johnson Across Conditions—◆Lingling An, University of Arizona 11:50 a.m. A Statistical Model for the Identification of Genes Governing the Incidence of Cancer with Age— 473 CC-203A ◆Kiranmoy Das, Penn State University Genome-Wide Analysis—Contributed 12:05 p.m. An Integrated Approach to Identify Critical miRNAs Biometrics Section, Section on Bayesian Statistical Science and Their Regulatory Roles in Corresponding Organizer(s): Li Luo, The University of Texas School of Public Health Genes in Cancer Development—◆Yian A. Chen, Chair(s): Li Luo, The University of Texas School of Public Health Moffitt Cancer Center; Dung-Tsa Chen, Moffitt Cancer Center & Research Institute 10:35 a.m. Exploratory Analysis of Failure Times with Genomic Applications—◆Cheng Cheng, St. Jude Children’s Research Hospital 10:50 a.m. A Novel Approach to Learning Gene Association 475 CC-160 Networks from High-Dimensional Data—◆Jie Test—Contributed Cheng, GlaxoSmithKline; Xiwu Lin, GlaxoSmithKline; IMS Kwan R. Lee, GlaxoSmithKline Chair(s): Min Qian, University of Michigan 11:05 a.m. A Unified Procedure for Evaluating HWE and Association in Genome-Wide Association Studies 10:35 a.m. A Goodness-of-Fit Test for a Generalized Inverse That Reduces False Positives—◆Stefan Boehringer, Gaussian Based on the Matsumoto-Yor Property— Institut für Humangenetik; Hajo Holzmann, ◆Severien Nkurunziza, University of Windsor; Universität Marburg; Johannes Hebebrand, Angelo E. Koudou, Institut Elie Cartan University of Duisburg-Essen 10:50 a.m. Weighted Likelihood Ratio Tests for Exponential 11:20 a.m. Power of Genetic Association Studies with Fixed Distributions—◆Jiqiang Guo, Iowa State University and Random Genotype Frequencies—◆Julia 11:05 a.m. Asymptotically Efficient Tests for Goodness-of-Fit— Kozlitina, The University of Texas Southwestern ◆Yongzhao Shao, Iowa State University; Ming Medical Center at Dallas; William Schucany, Zhou, Iowa State University; Jiqiang Guo, Iowa Southern Methodist University State University 11:35 a.m. Hierarchical Generalized Linear Models for Multiple 11:20 a.m. A New Test for Normality—◆Ming Zhou, Iowa State QTL Mapping—◆Nengjun Yi, The University of University; Yongzhao Shao, Iowa State University Alabama at Birmingham 11:35 a.m. Testing for Independence Between a Time Series 11:50 a.m. Floor Discussion and a Point Process—◆Victor Solo, University of New South Wales

11:50 a.m. A Powerful and Robust Test Statistic for Wednesday Randomization Inference in Group Randomized 474 CC-203B Trials—◆Kai Zhang, University of Pennsylvania; Gene Expression and DNA Sequencing— Dylan Small, University of Pennsylvania Contributed 12:05 p.m. Optimal Configuration of a Square Array Group Biometrics Section Testing Algorithm—Michael Hudgens, The University Chair(s): Jing He, University of Pennsylvania of North Carolina at Chapel Hill; ◆Hae-Young Kim, New England Research Institutes 10:35 a.m. Estimation of Parameters Subject to Order Restrictions on a Circle with Application to Estimation of Phase Angles of Cell Cycle Genes— Cristina Rueda, Universidad de Valladolid; Miguel A. Fernández, Universidad de Valladolid; ◆Shyamal D. Peddada, National Institute of Environmental Health Sciences 10:50 a.m. A Statistical Test for Detecting Variability in the Gene Expression Data Using Pair-Wise Comparisons— ◆Sunil Mathur, The University of Mississippi 11:05 a.m. Model-Based Classifications for Multiple Conditions on the Temporal Gene Expressions—◆Dianliang Deng, University of Regina

Washington, DC 207 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

476 CC-102A 11:20 a.m. Regression for Recovery Rates with Both ■ Continuous and Discrete Characteristic— Interrater Agreement, Quality of Life, and ◆Raffaella Calabrese, University of Milan-Bicocca Observational Studies—Contributed 11:35 a.m. A Semiparametric Bayesian Approach to Account Biopharmaceutical Section for Missing Covariates in Choice Models— Chair(s): Jennifer E. Hamer-Maansson, AstraZeneca ◆Yi Qian, Northwestern University; Hui Xie, Pharmaceuticals University of Illinois 11:50 a.m. Statistical Assessment of Patent Validity— 10:35 a.m. A General Class of Agreement Coefficients for ◆Alejandro Veen, IBM Research Categorical and Continuous Responses—◆Wei 12:05 p.m. Using Backward Means to Eliminate Individual Zhang, Quintiles, Inc.; Vernon M. Chinchilli, Penn Effects from Dynamic Panels—◆Gerdie Everaert, State University Ghent University 10:50 a.m. An Observational Error Model to Investigate Discordance in Oncology Studies with Progression- Free Survival—◆Frank Mannino, GlaxoSmithKline; Ohad Amit, GlaxoSmithKline 478 CC-141 11:05 a.m. Predictive Accuracy in Time-to-Event Data: ■ Developments in Complex Sample Design— Application to Evaluation of Pneumonia Severity Indexes—◆Guy N. Brock, University of Louisville; Contributed Forest W. Arnold, University of Louisville; Paula Section on Survey Research Methods Peyrani, University of Louisville; Julio A. Ramirez, Chair(s): John M. Finamore, U.S. Census Bureau University of Louisville 11:20 a.m. Identifiability of Causal Diagram and Its 10:35 a.m. Link-Tracing Sampling: Estimating the Size of a Application—◆Kun Nie, Amgen, Inc. Hidden Population in Presence of Heterogeneous 11:35 a.m. Multiple Imputation Compared with Single Nomination Probabilities—◆Martin H. Felix- Imputation Methods in the Analysis of Medina, Universidad Autonoma de Sinaloa; Pedro E. Observational Data with Incomplete Covariate Monjardin, Universidad Autonoma de Sinaloa; Aida Information—◆Sunni A. Barnes, Baylor Health Care Nohemi Aceves-Castro, Escuela de Ciencias Fisico- System; Dunlei Cheng, Baylor Health Care System; Matematicas, Universidad Autonoma de Sinaloa David Nicewander, Baylor Health Care System; 10:50 a.m. Adjusting Sampling and Weighting to Account for Yahya Daoud, Baylor Health Care System Births and Deaths—◆Lawrence R. Ernst, Bureau of 11:50 a.m. Detecting Fraudulent Data in Clinical Trials—◆Bret Labor Statistics; Randall K. Powers, Bureau of Labor Musser, Merck Research Laboratories Statistics; Andy Sandler, Bureau of Labor Statistics; Dave Slack, Bureau of Labor Statistics 12:05 p.m. Analysis of Method Comparison Studies with Multiple Methods—◆Pankaj K. Choudhary, The 11:05 a.m. Sample Design and Estimation of Volumes and University of Texas at Dallas; Kunshan Yin, EQECAT Trends in the Use of Paper Checks and Electronic Payment Methods in the United States—◆May X. Liu, Federal Reserve Board; Geoffrey R. Gerdes, Federal Reserve Board; Darrel W. Parke, Federal 477 CC-208B Reserve Board 11:20 a.m. An Application of Two-Way Stratification Procedure Statistical Methods for Analyzing for Selection Under Three-Way Stratification— Socioeconomic Data—Contributed ◆Kadaba P. Srinath, Abt Associates Inc. Business and Economic Statistics Section 11:35 a.m. Modified Network Sampling Without Replacement— Chair(s): John Bremer, Harris Interactive ◆Monroe Sirken, National Center for Health Statistics 10:35 a.m. Application of Variable Selection Method via 11:50 a.m. Longitudinal Surveys versus Continuous Surveys Spectral Analysis to Seasonal Linear Models in and Surveys with Flexible Periodicity—◆Andrew Some Call Volume Forecasting—◆Myung Suk Kim, Vogt, Georgetown University; Dhiren Ghosh, Sogang University; Taek Soo Shin, Citi Bank Synectics for Management Decisions Inc. 10:50 a.m. Nonresponse Bias Study for the Annual Capital 12:05 p.m. A Russian Invasion, Skeptical Villagers, and Expenditures Survey—◆Justin Z. Smith, U.S. Controversial Elections: The ‘Power’ Plays Faced Census Bureau; Katherine J. Thompson, U.S. by Randomized Impact Evaluations in Developing Census Bureau Countries—◆Celeste Tarricone, Millennium 11:05 a.m. Finding Unexpected Interactions in Discrete Choice Challenge Corporation Experiments: A Case Study—◆John Lawson, Brigham Young University

208 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

479 CC-142 Roundtables with Lunch Analysis of Complex Survey Data—Contributed Section on Survey Research Methods 12:30 p.m.–1:50 p.m. Chair(s): Yves Thibaudeau, U.S. Census Bureau 481 CC-Ballroom South Prefunction 10:35 a.m. A Study of the Composite Estimator for Change Biopharmaceutical Section Roundtables with Rate—Dong-Yun Shin, Hankuk University of Foreign Lunch (fee event) Studies; ◆Heungsun Park, Hankuk University of Biopharmaceutical Section Foreign Studies Organizer(s): Dionne Price, FDA 10:50 a.m. A Simulation Study of Treatments of Influential Values in a Monthly Retail Trade Survey—Mary H. WL10 Issues and Challenges in Modeling Bioassay Data— Mulry, U.S. Census Bureau; ◆Broderick Oliver, ◆Jason Liao, Merck Research Laboratories U.S. Census Bureau WL11 Advanced Oncology Trial Designs—◆Mingxiu Hu, 11:05 a.m. Multiple Imputation for Missing Items in Multi- Millennium Pharmaceuticals/The Takeda Section Questionnaires—◆Rong Liu, Penn State Oncology Company University; Joseph L. Schafer, Penn State University WL12 Adaptive Clinical Trials: Interim Data Analysis 11:20 a.m. A Bayesian Approach to Predicting the Electoral Challenges—◆Darcy Hille, Merck & Co., Inc.; Vote Totals for the 2008 Presidential Election— Paulette Ceesay, Merck & Co., Inc. ◆Steven E. Rigdon, Southern Illinois University Edwardsville; Sheldon H. Jacobson, University WL13 The Role of the Unblinded Statistician and Their of Illinois; Edward C. Sewell, Southern Illinois Relationship with the DSMB—◆Valerie Durkalski, University Edwardsville; Wendy K.T. Cho, Medical University of South Carolina University of Illinois; Christopher J. Rigdon, WL14 Retrospective Studies of Biomarkers: How Can They Arizona State University Improve Our Understanding of Drug Use?—◆Estelle 11:35 a.m. Estimation Procedure for New Public Employment Russek-Cohen, FDA Survey Design—◆Yang Cheng, U.S. Census Bureau; WL15 Clinical Trials in Practice: Designs, Monitoring, and Data Joseph Barth, U.S. Census Bureau; Casey Corcoran, Analysis—◆Daohai Yu, H. Lee Moffitt Cancer Center & U.S. Census Bureau; Carma Hogue, U.S. Research Institute Census Bureau 11:50 a.m. Election Day 2008 Voter Scorecard—◆Kate Hobson, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago; Hee-Choon Shin, 482 CC-Ballroom South Prefunction NORC at the University of Chicago; Fritz Scheuren, Section on Bayesian Statistical Science NORC at the University of Chicago Roundtable with Lunch (fee event) 12:05 p.m. Floor Discussion Section on Bayesian Statistical Science Organizer(s): Alyson Wilson, Iowa State University Wednesday WL16 Bayesian Adaptive Designs—◆Keying Ye, Speaker with Lunch The University of Texas at San Antonio 12:30 p.m.–1:50 p.m.

480 CC-301 483 CC-Ballroom South Prefunction Section on Health Policy Statistics Speaker with Section on Government Statistics Roundtable Lunch (fee event)—Speaker with Lunch with Lunch (fee event) Section on Government Statistics Section on Health Policy Statistics Organizer(s): Lisa Blumerman, U.S. Census Bureau Organizer(s): Susan Paddock, RAND Corporation

WL17 Metadata: Making It Work for Federal Statistics—◆Shawna WL09 Aligning Provider Incentives: Pay for Performance and Waugh, Energy Information Administration; Daniel W. Beyond—◆Meredith B. Rosenthal, Harvard School of Gillman, Bureau of Labor Statistics Public Health

Washington, DC 209 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

484 CC-Ballroom South Prefunction 488 CC-Ballroom South Prefunction Section on Nonparametric Statistics Roundtable Section on Statistics in Defense and National with Lunch (fee event) Security Roundtable with Lunch (fee event) Section on Nonparametric Statistics Section on Statistics in Defense and National Security Organizer(s): Edsel A. Pena, University of South Carolina Organizer(s): Jeffrey L. Solka, Naval Surface Warfare Center WL26 Statistics versus Operations Research in Defense WL18 Nonparametric Test Procedures and High-Dimensional Analysis—◆Ron Fricker, Naval Postgraduate School Multiple Testing: Are They Compatible?—◆Edsel A. Pena, University of South Carolina 489 CC-Ballroom South Prefunction Section on Survey Research Methods 485 CC-Ballroom South Prefunction Roundtables with Lunch (fee event) Section on Physical and Engineering Sciences Section on Survey Research Methods Roundtables with Lunch (fee event) Organizer(s): Michael Elliott, University of Michigan Section on Physical and Engineering Sciences Organizer(s): George Ostrouchov, Oak Ridge National Laboratory WL27 Imputation Methods for Complex Survey Data: Best Practices and Next Steps—◆Michael D. Larsen, Iowa WL19 Parallel Statistical Computing with R—◆Hao Yu, State University University of Western Ontario WL28 ASA AdvocacyCANCELLED Day—◆Tim Hesterberg, Google, Inc. WL20 Future of Nuclear Power—◆Bernard Harris, University of Wisconsin 490 CC-Ballroom South Prefunction Social Statistics Section Roundtables with 486 CC-Ballroom South Prefunction Lunch (fee event) Section on Statistical Consulting Roundtables Social Statistics Section with Lunch (fee event) Organizer(s): Joseph J. Salvo, NYC Department of City Planning Section on Statistical Consulting Organizer(s): Walter Ambrosius, Wake Forest University School WL29 Leveraging Advances in Cyberinfrastructure to Provide of Medicine Secure Access to Sensitive Data, Preserve Data, and Create Virtual Scientific Communities—◆Timothy M. WL21 Academic Statistical Consulting Centers Serving Mulcahy, NORC at the University of Chicago Commercial Clients—◆Sam Woolford, Bentley University WL22 Indemnification for Consultants and DSMB Members: Who Protects Whom?—◆Janet Wittes, Statistics Collaborative, Inc. Special Presentation 2:00 p.m.–3:50 p.m. 487 CC-Ballroom South Prefunction Section on Statistical Education Roundtables 491 CC-207A Introductory Overview Lecture: Causal Inference with Lunch (fee event) in Statistics—Other Section on Statistical Education ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical Organizer(s): Tisha L. Hooks, Winona State University Association, International Indian Statistical Association Organizer(s): Wendy Martinez, U.S. Department of Defense WL23 Statistics in K-12 Math Is Necessary for Career Success Chair(s): Wendy Martinez, U.S. Department of Defense and Informed Citizenship—◆Arnold Goodman, Collaborative Data Solutions WL24 Audience Response Systems (aka ‘Clickers’ and 2:05 p.m. Causal Inference in Statistics: A Gentle ◆Judea Pearl, University of ‘Remotes’) and Active Learning: Pluses and Minuses— Introduction— ◆Megan E. Mocko, University of Florida California, Los Angeles WL25 Incorporating Brain-Based Learning Principles in Statistics 3:30 p.m. Floor Discussion Education—◆Paul J. Fields, Brigham Young University

210 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Invited Sessions 2:00 p.m.–3:50 p.m. 494 CC-206 ■ Challenges in Statistical Learning and Variable Selection for High-Dimensional Data—Invited 492 CC-150A IMS Nonparametric Methods for Small-Area Organizer(s): Yichao Wu, North Carolina State University Estimation—Invited Chair(s): Yichao Wu, North Carolina State University Section on Survey Research Methods, Section on Statistics and the Environment 2:05 p.m. Ultra High-Dimensional Variable Selection: Beyond Organizer(s): Jean Opsomer, Colorado State University the Linear Model—◆Richard Samworth, University Chair(s): Jean Opsomer, Colorado State University of Cambridge; Jianqing Fan, Princeton University; Yichao Wu, North Carolina State University 2:05 p.m. Fence Method for Prediction Problems and Its 2:35 p.m. The Large Margin Unified Machine: A Bridge Application in Small Area Estimation—◆Jiming Between Hard and Soft Classification—◆Yufeng Jiang, University of California, Davis; Thuan Nguyen, Liu, The University of North Carolina at Chapel Hill; Oregon Health & Science University; J. Sunil Rao, Hao (Helen) Zhang, North Carolina State University Case Western Reserve University 3:05 p.m. Instability Measures and Model Averaging— 2:30 p.m. Borrowing Strength Over Space in Small Area ◆Dennis D. Boos, North Carolina State University; Estimation: Comparing Local and Spline-Based Leonard A. Stefanski, North Carolina State University M-Quantile Models with Spatial Autoregressive 3:35 p.m. Floor Discussion Random Effects Models—◆Nikos Tzavidis, University of Manchester 2:55 p.m. Robust Small Area Estimation Under Penalized Spline Mixed Models—◆J.N.K. Rao, Carleton University; Sanjoy K. Sinha, Carleton University 495 CC-143A ■ Advanced Monte Carlo Methods—Invited 3:20 p.m. Design-Based Model Consistent Estimator for the Nested-Error Regression—◆Tapabrata Maiti, Section on Statistical Computing, Section on Bayesian Statistical Michigan State University; Lixia Diao, The University Science, Interface Foundation of North America of Texas M.D. Anderson Cancer Center; Jean Organizer(s): Yuguo Chen, University of Illinois at Urbana- Opsomer, Colorado State University Champaign 3:45 p.m. Floor Discussion Chair(s): Yuguo Chen, University of Illinois at Urbana-Champaign

2:05 p.m. Computational Methods for Bayesian Model Choice—◆Christian P. Robert, Université 493 CC-202B Paris Dauphine; Jean-Michel Marin, University ■ ✪ Issues in Translating Innovative Phase I Montpellier II Designs Into Oncology Trials—Invited 2:35 p.m. Auxiliary Variable MCMC with Applications in Protein Structure Modeling—◆Jun S. Liu, Harvard Biopharmaceutical Section, International Chinese Wednesday University; Kou X. Sam, Harvard University Statistical Association Organizer(s): William L. Mietlowski, Novartis Oncology 3:05 p.m. Approximate Bayesian Computation: What, Why, and When?—◆Simon Tavare, University of Chair(s): William L. Mietlowski, Novartis Oncology Southern California 3:35 p.m. Floor Discussion 2:05 p.m. Translation of Innovative Designs Into Cancer Phase I Trials—◆Andre Rogatko, Cedars-Sinai Medical Center 2:30 p.m. Challenges in the Implementation of Adaptive 496 CC-204A Phase I Clinical Trial Designs for Biologic Agents ■ ✪ and Molecularly Targeted Therapies—◆Daniel Quantifying Mortality from Genocide Sargent, Mayo Clinic; Sumithra Mandrekar, Mayo and Crimes Against Humanity: Issues and Clinic; Rui Qin, Mayo Clinic Methods—Invited 2:55 p.m. Ups and Downs of Implementing BLR-EWOC Committee on Scientific Freedom and Human Rights, Social Guided Dose Escalation at Novartis Oncology— Statistics Section, Section on Government Statistics ◆Jyotirmoy Dey, Novartis Pharmaceuticals Organizer(s): William Seltzer, Fordham University 3:20 p.m. Disc: Michael Brave, FDA Chair(s): Mary Gray, American University 3:40 p.m. Floor Discussion 2:05 p.m. Conceptual Issues in Quantifying Genocide, Crimes Against Humanity, and War Crimes—◆William Seltzer, Fordham University

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2:30 p.m. Methodological Issues in Gathering and Analyzing 3:05 p.m. Statistical Inference on the Residual Risk Metric Data on Genocide Mortality—◆Safaa R. Amer, of the Quantitative Security-Meter Model Using NORC at the University of Chicago Triple-Uniform Density—◆Mehmet Sahinoglu, 2:55 p.m. Mortality from Genocide and Crimes Against Auburn University Montgomery; Yanling Yuan, Humanity: A Field-Based Perspective on Linking Troy University Montgomery; David Banks, Data, Method, and Policy Objectives— Duke University ◆Romesh Silva, Benetech 3:35 p.m. Floor Discussion 3:20 p.m. Disc: Jana Asher, Carnegie Mellon University 3:40 p.m. Floor Discussion 499 CC-143C ■ Extracting Information from Images—Invited 497 CC-159A Section on Physical and Engineering Sciences, Section on ■ New Developments for the Analysis of Spatial Statistical Graphics, Section on Quality and Productivity, Interface Foundation of North America and Temporal Systems in Ecology—Invited Organizer(s): Joanne R. Wendelberger, Los Alamos Section on Statistics and the Environment, Section on National Laboratory Government Statistics Chair(s): Joanne R. Wendelberger, Los Alamos National Laboratory Organizer(s): Mevin B. Hooten, Utah State University Chair(s): Ali Arab, Georgetown University 2:05 p.m. FDA for Tree-Structured Data Objects— ◆J. Steve Marron, The University of North 2:05 p.m. A Moving Average Approach for Spatial Statistical Carolina at Chapel Hill Models of Stream Networks—◆Jay Ver Hoef, NOAA 2:30 p.m. Feature Detection Techniques for Proteomic National Marine Mammal Lab Data Analysis—◆Kimberly F. Sellers, 2:30 p.m. Modeling Scales of Variability of Harmful Algae eorgetown University Blooms in the Indian River Lagoon, Florida— 2:55 p.m. Same or Different? Identifying Similarities and ◆Mary C. Christman, University of Florida Computing Distances Between Images—◆Kary 2:55 p.m. Modeling Animal Movement in Response to Myers, Los Alamos National Laboratory Landscapes—◆Jun Zhu, University of 3:20 p.m. Image Measurements in a Statistical Study of Wisconsin-Madison Corrosion—◆Leslie M. Moore, Los Alamos National 3:20 p.m. Simultaneous Cellular Movement Models for Security, LLC; Joanne R. Wendelberger, Los Alamos Resource Selection—◆Devin Johnson, National National Laboratory; Roland K. Schulze, Los Alamos Marine Mammal Laboratory; Mevin B. Hooten, National Security, LLC; Mary A. Hill, Los Alamos Utah State University National Security, LLC 3:45 p.m. Floor Discussion 3:45 p.m. Floor Discussion

498 CC-150B 500 CC-159B ■ ✪ Quantitative Security and Cybersystems— JASA, Applications and Case Studies Invited Invited Session—Invited Section on Risk Analysis JASA, Applications and Case Studies, Section on Bayesian Organizer(s): Mehmet Sahinoglu, Auburn University Montgomery Statistical Science Chair(s): Bertrand Clarke, The University of British Columbia/ Organizer(s): David Banks, Duke University University of Miami Chair(s): David Banks, Duke University

2:05 p.m. Statistical Inference and Simulation on Security 2:05 p.m. A Spatio-Temporal Model for Mean, Anomaly, Metrics in Cloud Computing for Large Cyber and Trend Fields of North Atlantic Sea Surface Systems—◆Luis A. Cueva-Parra, Auburn University Temperature—Ricardo T. Lemos, Universidade de Montgomery; Mehmet Sahinoglu, Auburn Lisboa; ◆Bruno Sanso, University of California, University Montgomery; David Tyson, Auburn Santa Cruz University Montgomery; Sunil Das, Troy University 2:55 p.m. Disc: Christopher Wikle, University of Montgomery Missouri-Columbia 2:35 p.m. Some Stopping Rules in Security Testing—◆Susan 3:10 p.m. Disc: Dave Higdon, Los Alamos National Laboratory J. Simmons, The University of North Carolina at Wilmington; Mehmet Sahinoglu, Auburn University 3:25 p.m. Disc: Roy Mendelssohn, NOAA Montgomery; James Matis, Texas A&M University 3:40 p.m. Floor Discussion

212 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

501 CC-209A Topic-Contributed Sessions Regression Models with Functional Predictors— Invited 2:00 p.m.–3:50 p.m. IMS Organizer(s): Todd Ogden, Columbia University 504 CC-102B Chair(s): Todd Ogden, Columbia University Advancements in Principal Stratification for Causal Inference—Topic-Contributed 2:05 p.m. Functional Generalized Linear Regression— Biometrics Section, International Indian Statistical Association, ◆Harrison Zhou, Yale University Section on Statistics in Epidemiology, Section on Health Policy 2:35 p.m. Functional Linear Regression of Gradients from Statistics Sparse Observations—◆Ian McKeague, Columbia Organizer(s): Corwin M. Zigler, University of California, Los Angeles University; Sara Lopez-Pintado, Universidad Pablo Chair(s): Thomas R. Belin, University of California, Los Angeles de Olavide 3:05 p.m. Functional Additive Modeling and Gradient 2:05 p.m. Public Schools versus Private Schools: Causal Estimation—◆Hans-Georg M¸ller, University of Inference with Partial Compliance—◆Hui Jin, California, Davis; Fang Yao, University of Toronto Harvard University; Donald B. Rubin, Harvard 3:35 p.m. Floor Discussion University 2:25 p.m. Causal Inference for Randomized Trials of Two Active Treatments Subject to Noncompliance— ◆Jason Roy, Geisinger Center for Health Research; 502 CC-207B Yan Ma, Weill Medical College of Cornell University IMS Medallion Lecture VI—Invited 2:45 p.m. Statistical Identifiability and the Surrogate IMS Endpoint Problem—◆Julian Wolfson, University of Washington Organizer(s): Xiaotong Shen, The University of Minnesota Chair(s): Joseph S. Verducci, The Ohio State University 3:05 p.m. Principal Stratification for Evaluation of Surrogate Endpoints with Variable Control-Group Response— ◆Corwin M. Zigler, University of California, Los 2:05 p.m. Auxiliary Variables, Perfect Simulation, and Angeles; Thomas R. Belin, University of California, Importance Sampling for the Statistical Analysis Los Angeles of Stochastic Processes—◆Gareth Roberts, University of Warwick 3:25 p.m. Exact Inference within Principal Strata— ◆Michael Hudgens, The University of North 3:30 p.m. Floor Discussion Carolina at Chapel Hill 3:45 p.m. Floor Discussion

Invited Panels 2:00 p.m.–3:50 p.m. Wednesday 505 CC-101 ■ ✪ Statistical and Regulatory Challenges 503 CC-202A in Alzheimer’s Disease Clinical Trials— ■ ✪ Boundaries for Harm in Clinical Trials Topic-Contributed Designed to Establish Safety—Invited Biopharmaceutical Section ENAR, Biopharmaceutical Section Organizer(s): Yonggang Zhao, Wyeth Research Organizer(s): Robert A. Parker, Amgen, Inc. Chair(s): Yonggang Zhao, Wyeth Research Chair(s): Robert A. Parker, Amgen, Inc.

2:05 p.m. Some Statistical and Regulatory Considerations on Panelists: ◆Alex Fleishman, Amgen, Inc. Alzheimer Trials—◆Kun Jin, FDA ◆Barry Davis, The University of Texas School of 2:25 p.m. Statistical Inference and Sample Size Issues for Co- Public Health Primary Endpoints in Alzheimer’s Disease Trials— ◆Susan Ellenberg, University of Pennsylvania ◆Mohammad F. Huque, FDA ◆Gordon Lan, Johnson & Johnson PRD 2:45 p.m. A Meta-Analytic Model for Alzheimer’s Disease ◆Michael Proschan, National Institute of Allergy and Incorporating Both Summary-Level and Patient- Infectious Diseases Level Data—◆James A. Rogers, Metrum; Bill Gillespie, Metrum; Kaori Ito, Pfizer Inc.; Marc ◆Janet Wittes, Statistics Collaborative, Inc. Gastonguay, Metrum 3:45 p.m. Floor Discussion

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3:05 p.m. Providing Evidence of Disease Modification— 2:25 p.m. Incorporating Domain Knowledge in Customer ◆Suzanne Hendrix, Pentara Corporation Churn Prediction Using AntMiner+—◆Wouter 3:25 p.m. Floor Discussion Verbeke, Katholieke Universiteit Leuven; Bart Baesens, Katholieke Universiteit Leuven; David Martens, Hogeschool Gent; Manu De Backer, Hogeschool Gent; Raf Haesen, Katholieke Universiteit Leuven 506 CC-209C 2:45 p.m. Love at First Sight? Effects of Direct Mail Design on ■ ✪ Novel Bayesian Advances in Public Health Consumer Response Behavior—◆Manfred Krafft, and Epidemiology—Topic-Contributed University of Münster; Sebastian Feld, University of Section on Bayesian Statistical Science, Section on Statistics Münster; Heiko Frenzen, University of Münster; Kay in Epidemiology Peters, University of Münster Organizer(s): Jun Lu, American University 3:05 p.m. How Does a Customer Walk for Shopping in a Chair(s): Yu Yue, Baruch College Store?—◆Katsutoshi Yada, Kansai University 3:25 p.m. Demographic Classification of Anonymous Web 2:05 p.m. Bayesian Optimal Discovery Procedure for Site Visitors Using Click Stream Information: A Simultaneous Significance Testing—◆Jing Cao, Practical Method for Supporting Online Advertising Southern Methodist University; Xian-Jin Xie, The Targeting—◆Koen De Bock, Ghent University; Dirk University of Texas Southwestern Medical Center Van den Poel, Ghent University at Dallas; Song Zhang, The University of Texas 3:45 p.m. Floor Discussion Southwestern Medical Center 2:25 p.m. Change of Support in Inverse Implementations of Statistical Differential Equation Models—◆Mevin B. Hooten, Utah State University; Marti B. Garlick, 508 CC-144A Utah State University; James B. Powell, Utah ■ ✪ Safety and Health Issues in Transportation— State University Topic-Contributed 2:45 p.m. A Multiple Comparison Procedure Based on a Social Statistics Section, Section on Government Statistics, Variant of the Schwarz Information Criterion in a Transportation Statistics Interest Group Mixed Model—◆Junfeng Shang, Bowling Green State University Organizer(s): Karl Sieber, National Institute for Occupational Safety and Health 3:05 p.m. Semiparametric Bayes Proportional Odds Models Chair(s): Promod Chandhok, U.S. Department of Transportation for Current Status Data with Under-Reporting— ◆Lianming Wang, University of South Carolina; David Dunson, Duke University 2:05 p.m. Collecting Health and Safety Information in a Mobile 3:25 p.m. A Bayesian Hierarchical Model to Translate and Hard-to-Reach Population: Surveying Long- Microarray Findings into Biological Functional Haul Truck Drivers—◆Karl Sieber, National Institute Profiles—◆Song Zhang, The University of Texas for Occupational Safety and Health Southwestern Medical Center 2:25 p.m. The Evolution of Crash Analysis Methodologies— 3:45 p.m. Floor Discussion ◆Karin M. Bauer, Midwest Research Institute; Courtney Bokenkroger, Midwest Research Institute 2:45 p.m. Drowsy Driver Performance in a Simulated Environment: A Case-Crossover Analysis—◆Linda 507 CC-160 Ng Boyle, University of Iowa ■ ✪ Customer Intelligence—Topic-Contributed 3:05 p.m. Floor Discussion Section on Statistics and Marketing, Social Statistics Section Organizer(s): Dirk Van den Poel, Ghent University Chair(s): Dirk Van den Poel, Ghent University 509 CC-142 ■ Numeracy 2009—Topic-Contributed 2:05 p.m. Comparing Random Forests and Random Section on Statistical Education Multinomial Logit to Rotation Forest and the New Rotation Multinomial Logit—◆Anita Prinzie, Chair(s): Paul J. Fields, Brigham Young University Manchester Business School/Gent University; Dirk Van den Poel, Ghent University 2:05 p.m. Formal Debates to Clarify the Objectives of an Intro Stats Course—◆Dan Schafer, Oregon State University 2:25 p.m. How Prepared are Doctoral Dissertation Committee Members?—◆Rossi A. Hassad, Mercy College

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2:45 p.m. Statistical Literacy: Confound Those Speculative 511 CC-209B ◆ Statistics— Milo Schield, W.M. Keck ■ Applications of Bayesian Methods to Statistical Literacy Project Biomedical Data—Topic-Contributed 3:05 p.m. Distinguishing Association from Causation in Titles Section on Bayesian Statistical Science, of News Stories—◆Robert Raymond, University St. Biopharmaceutical Section Thomas; Milo Schield, W.M. Keck Statistical Literacy Project Organizer(s): Dipankar Bandyopadhyay, Medical University of South Carolina 3:25 p.m. Taking Confounding Seriously with Introductory Chair(s): Abel Rodriguez, University of California, Santa Cruz Students—◆Daniel Kaplan, Macalester College 3:45 p.m. Floor Discussion 2:05 p.m. Using a Dirichlet Process Mixture of Hidden Markov Models for Protein Conformation Angle Data— ◆Kristin P. Lennox, Texas A&M University; David B. Dahl, Texas A&M University; Marina Vannucci, Rice 510 CC-148 University; Ryan Day, University of the Pacific; Jerry Seasonal Adjustment Methodology— Tsai, University of the Pacific Topic-Contributed 2:25 p.m. Posterior Simulation in Mixture Models for Large Business and Economic Statistics Section, Social Statistics Section Data Sets—◆Subharup Guha, University of Missouri Organizer(s): Tucker S. McElroy, U.S. Census Bureau 2:45 p.m. A Hidden Markov Model for Zero-Inflated Poisson Chair(s): Theodore Alexandrov, University of Bremen Counts with an Application to Cocaine Use Data—◆Stacia M. DeSantis, Medical University of 2:05 p.m. On the Impact of Sampling Error on Modeling South Carolina; Dipankar Bandyopadhyay, Medical Seasonal Time Series—◆Stuart Scott, Bureau University of South Carolina of Labor Statistics; Danny Pfeffermann, Hebrew 3:05 p.m. A Multivariate Spatial Factor Model for Clustered University/University of Southampton Data with Informatively Present Mixed Responses— ◆ 2:25 p.m. On X11 Seasonal Adjustment and Estimation of Its Dipankar Bandyopadhyay, Medical University of MSE—◆Michail Sverchkov, BAE Systems IT/Bureau South Carolina; Brian J. Reich, North Carolina State of Labor Statistics; Stuart Scott, Bureau of Labor University; Jyotika Fernandes, Medical University of Statistics; Danny Pfeffermann, Hebrew University/ South Carolina University of Southampton 3:25 p.m. Semiparametric Bayesian Analysis of Nutritional 2:45 p.m. A Bayesian Approach to Seasonal Long Memory— Epidemiology Data in the Presence of Measurement ◆ ◆Scott Holan, University of Missouri-Columbia; Error— Samiran Sinha, Texas A&M University; Tucker S. McElroy, U.S. Census Bureau Bani K. Mallick, Texas A&M University; Victor Kipnis, National Cancer Institute; Raymond J. 3:05 p.m. An Empirical Evaluation of Signal Extraction Carroll, Texas A&M University Goodness-of-Fit Diagnostic Tests—◆Christopher Blakely, U.S. Census Bureau; Tucker S. McElroy, 3:45 p.m. Floor Discussion U.S. Census Bureau

3:25 p.m. The Detection of Cycles in Raw and Seasonally Wednesday Adjusted Data—◆Tucker S. McElroy, U.S. Census Bureau; Scott Holan, University of Missouri- 512 CC-144C Columbia ■ Recent Developments in Address-Based 3:45 p.m. Floor Discussion Sampling Methodologies—Topic-Contributed Section on Survey Research Methods, Social Statistics Section, Section on Government Statistics Organizer(s): Mansour Fahimi, Marketing Systems Group Chair(s): Mansour Fahimi, Marketing Systems Group

2:05 p.m. Methodological Issues in the Conversion from RDD to Address-Based Sampling—◆Michael Link, The Nielsen Company; Gail Daily, The Nielsen Company; Charles Shuttles, The Nielsen Company 2:25 p.m. Address-Based Sampling and the 2008 American National Election Survey: A New Paradigm for In-Person Household Surveys—Vincent G. Iannacchione, RTI International; ◆Jamie L. Ridenhour, RTI International; Bonnie Shook-Sa, RTI International; Joseph P. McMichael, RTI International

Washington, DC 215 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:45 p.m. Recruiting Probability-Based Web Panel Members Using an Address-Based Sample Frame: Results Topic-Contributed Panels from a Pilot Study Conducted by Knowledge 2:00 p.m.–3:50 p.m. Networks—◆Charles DiSogra, Knowledge Networks; Mario Callegaro, Knowledge Networks; Erlina Hendarwan, Knowledge Networks 514 CC-158B 3:05 p.m. Using Address Frames to Identify Cell-Phone-Only ✪ From Evidence to Policy: ASA Members in and Cell-Phone-Primary Households—◆Anna Public Office—Topic-Contributed Fleeman, Arbitron, Inc. Scientific and Public Affairs Advisory Committee, Section on 3:25 p.m. Coverage Rates and Coverage Bias in Housing Unit Government Statistics Frames—◆Ned English, NORC at the University of Organizer(s): Stephen Pierson, ASA Chicago; Colm O’Muircheartaigh, The University of Chair(s): Christine S. Franklin, The University of Georgia Chicago; Stephanie Eckman, NORC at the University of Chicago Panelists: ◆Jeff Witmer, Oberlin College 3:45 p.m. Floor Discussion ◆James L. Rosenberger, Penn State University ◆Ivelisse Aviles, National Institute of Standards and Technology 513 CC-144B ◆James R. Murphy, National Jewish Health ■ ✪ Advances in the Arena of Confidentiality and ◆Jerry Moreno, John Carroll University Data Protection—Topic-Contributed 3:45 p.m. Floor Discussion Section on Government Statistics, Social Statistics Section, Section on Survey Research Methods Organizer(s): Jonaki Bose, Substance Abuse & Mental Health Services Administration Contributed Sessions Chair(s): Jonaki Bose, Substance Abuse & Mental Health Services Administration 2:00 p.m.–3:50 p.m.

2:05 p.m. Informing Potential Respondents About Disclosure 515 CC-153 Risk and Survey Participation—◆Eleanor Singer, University of Michigan; Mick P. Couper, University Statistical Methods in Finance—Contributed of Michigan; Frederick G. Conrad, University of Business and Economic Statistics Section Michigan; Robert Groves, University of Michigan Chair(s): Timothy Bogong Li, SHCG - SunTrust Mortgage, Inc. 2:25 p.m. Data Access for the National Children’s Study: Preliminary Plans—◆Jennifer Park, National 2:05 p.m. Estimated Quasi-Likelihood Estimator on GARCH Institute of Child Health and Human Development Models with Heavy-Tailed and Skewed Innovations 2:45 p.m. Disclosure Review Issues of Genetic Data—◆Karen and Its Applications—◆Taewook Lee, Hankuk E. Davis, National Center for Health Statistics; Peter University of Foreign Studies Meyer, National Center for Health Statistics 2:20 p.m. Finite Sample Properties of Classcial Testings on 3:05 p.m. Application of the Truncated Distributions and Long Memory HYGARCH Models—◆Muyi Li, The Copulas in Masking Data—◆Rahul A. Parsa, Drake University of Hong Kong University; Jay J. Kim, National Center for Health 2:35 p.m. Backdating Stock Options: Governance and Statistics; Myron J. Katzoff, National Center for Executive Incentives—◆Don R. Warren, The Health Statistics University of Texas at San Antonio; Mary Zey, The 3:25 p.m. An Overview of Uncertainty Creation to University of Texas at San Antonio; John Garza, The Protect Statistical Data—◆Paul B. Massell, University of Texas at San Antonio U.S. Census Bureau 2:50 p.m. Application of Robust Estimation in O-GARCH 3:45 p.m. Floor Discussion Model—Lingyu Zheng, Temple University; ◆William Wei, Temple University 3:05 p.m. Recursive Estimation Using Combined Optimal Estimating Functions—◆Melody Ghahramani, University of Winnipeg; Aerambamoorthy Thavaneswaran, University of Manitoba 3:20 p.m. Secondary Mortgage Market Repurchase Forecast Through Survival Analysis—◆Bogong T. Li, Statistical Guidance Co. 3:35 p.m. Estimation of Conditional Distribution of Market Returns—◆Yuzhi Cai, University of Plymouth

216 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

516 CC-149B 2:35 p.m. Modeling Site Selection Behavior: Applications to ◆ ■ Applications in Reliability—Contributed Crime and Terrorism— Michael D. Porter, Spadac Section on Physical and Engineering Sciences, Section on Quality 2:50 p.m. Biosurveillance with Multiple-Width-Window Scan ◆ and Productivity, Section on Bayesian Statistical Science Statistics— Joseph I. Naus, Rutgers University Chair(s): Lewis H. Shoemaker, Millersville University of 3:05 p.m. Clustering Time Series Using Compression Pennsylvania Dissimilarities and Wavelets—◆Patricia H. Carter, Naval Surface Warfare Center

2:05 p.m. Prediction of Remaining Life of Power Transformers 3:20 p.m. Statistical Assessment of Simple Strategy with Based on Left-Truncated and Right-Censored Gaming: On Modeling the Fundamentals of ◆ Lifetime Data—◆Yili Hong, Iowa State University; Irregular Warfare— Scott Simpkins, Johns Hopkins William Q. Meeker, Iowa State University; James D. University; Jonathan Smalletz, Johns Hopkins McCalley, Iowa State University University; Robert Sagmiller, Clemson University 2:20 p.m. Modeling Leads to Cause-of-Field Failures—◆David 3:35 p.m. Floor Discussion C. Trindade, Sun Microsystems, Inc. 2:35 p.m. Monitoring Civil Structures Using Restricted Autoregressive Models and Wireless Sensor Networks—◆Guilherme Rocha, Indiana University; 518 CC-102A Shamim Pakzad, Lehigh University; Bin Yu, ■ Epidemiologic Methods: Causal Inference— University of California, Berkeley Contributed 2:50 p.m. Bayesian Analysis of Step-Stress Accelerated Life Section on Statistics in Epidemiology Testing Using Weibull Proportional Hazard Model— Chair(s): Jason Brinkley, East Carolina University ◆Naijun Sha, The University of Texas at El Paso; Rong Pan, Arizona State University 2:05 p.m. Causal Inference in Cancer Clinical Trials— 3:05 p.m. Lower Tolerance Bounds in Accelerated Life ◆Babette Brumback, University of Florida; Wendy Testing: Weibull Models with Inverse Power London, University of Florida Relationship—◆Ananda A. Jayawardhana, Pittsburg 2:20 p.m. Causal Inference in Trials with Partial Compliance State University; V. A. Samaranayake, Missouri by Means of Continuous Principal Strata: A University of Science and Technology Likelihood Approach Based on Copulas—Francesco 3:20 p.m. Enhanced Monte Carlo Estimation of Extremely Bartolucci, University of Perugia; ◆Leonardo Grilli, Small Probabilities of Failure—◆Peter W. Hovey, University of Florence University of Dayton; Brian Krilov, University 2:35 p.m. Diagnostics for Propensity Score Matching: of Dayton Creating a Balanced Control Group to Assess In 3:35 p.m. Robust Test Plans for Accelerated Degradation Vitro Fertilization Guidelines—◆Cassandra K. Experiment—◆Shuen-Lin Jeng, National Cheng Wolos, Harvard University; Donald B. Rubin, Kung University Harvard University 2:50 p.m. A Markov Compliance Class and Outcome Model

for Causal Analysis in the Longitudinal Setting— Wednesday ◆Xin Gao, University of Michigan; Michael Elliott, 517 CC-143B University of Michigan Applications of Statistics in Defense and 3:05 p.m. Causal Inference in Nested Case-Control Biosurveillance—Contributed Studies—◆Sherri Rose, University of California, Section on Statistics in Defense and National Security, Interface Berkeley; Mark J. van der Laan, University of Foundation of North America California, Berkeley Chair(s): Myron J. Katzoff, National Center for Health Statistics 3:20 p.m. Treatment-Outcome Complex and Analysis of Observational Data—◆Lev S. Sverdlov, Schering- 2:05 p.m. Ternary Pixel Transition Matrix--Based Feature Plough Research Institute Space Statistics for Image Retrieval from 3:35 p.m. Causal Estimation for the Proportional Hazard Databases—◆Pranab K. Banerjee, Space Model with Prevalent Sampling—◆Yu-Jen Cheng, Dynamics Laboratory Johns Hopkins University; Mei-Cheng Wang, Johns 2:20 p.m. Resource Allocation and Infrastructure Density Hopkins Bloomberg School of Public Health Around Vulnerable Sites—◆Jeffrey S. Simonoff, New York University; Carlos E. Restrepo, New York University; Rae Zimmerman, New York University; Zvia Naphtali, New York University; Henry H. Willis, RAND Corporation

Washington, DC 217 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

519 CC-149A 3:05 p.m. Using Allele Sharing Distance for Detecting Human Imputation Case Studies—Contributed Population Stratification—◆Xiaoyi Gao, Washington University in St. Louis Section on Survey Research Methods 3:20 p.m. A Score Test Based on Modified Genotype Data— Chair(s): Mandi Yu, FDA ◆Renfang Jiang, Michigan Technological University; Yilin Dai, Michigan Technological University; 2:05 p.m. Methods for Analysis of Recall of Fires in a Jianping Dong, Michigan Technological University ◆ Retrospective Survey— Michael A. Greene, U.S. 3:35 p.m. Floor Discussion Consumer Product Safety Commission; Craig D. Andres, U.S. Army Aberdeen Test Center 2:20 p.m. Developing Macro Edits for the Census and Annual Survey of Government Finance—◆Loretta A. 521 CC-155 McKenzie, U.S. Census Bureau; Terri L. Craig, U.S. Census Bureau; Jennifer N. Whitaker, Boosting, Ensemble Learning, and Other Data- U.S. Census Bureau Mining Methods—Contributed 2:35 p.m. Empirical Evaluation of Imputation Methods on Section on Statistical Learning and Data Mining, Interface Founda- Quarterly Census of Employment and Wages tion of North America Data—◆Marek Kaminski, Bureau of Labor Statistics; Chair(s): Brian Shea, The University of Minnesota Vinod Kapani, Bureau of Labor Statistics 2:50 p.m. Imputation Variance Estimation by Multiple 2:05 p.m. Distinct Counting with a Self-Learning Bitmap— Imputation Method for the National Hospital ◆Aiyou Chen, Bell Labs, Alcatel-lucent; Jin Cao, Discharge Survey—◆Qiyuan Pan, National Center Bell Labs, Alcatel-lucent for Health Statistics; Iris Shimizu, National Center 2:20 p.m. Using Data Mining to Explore Seasonal Differences for Health Statistics Between the US Current Employment Statistics 3:05 p.m. Evaluation of Alternative Imputation Methods for the Survey and the Quarterly Census of Employment Public Libraries Survey—Irene Brown, U.S. Census and Wages—◆Gregory Erkens, Bureau of Bureau; ◆Terri L. Craig, U.S. Census Bureau Labor Statistics 3:20 p.m. Impacts of Bridging Race/Ethnicity for the 2:35 p.m. Mining Financial Statements: Comparative California Health Interview Survey—◆Yifeng J. Performance of Adaptive and Ensemble Models in Chia, University of California, Los Angeles Discovering Financial Statement Fraud—◆David 3:35 p.m. Floor Discussion G. Whiting, Brigham Young University; James V. Hansen, Brigham Young University; James B. McDonald, Brigham Young University; Conan Albrecht, Brigham Young University; Steve Albrecht, Brigham Young University 520 CC-204C 2:50 p.m. GA-Boost: A Genetic Algorithm for Robust Modern Statistical Methods for Genetic Boosting—Brian Gray, The University of Alabama; Studies—Contributed ◆Dong-Yop Oh, The University of Alabama Section on Statistics in Epidemiology 3:05 p.m. Ensemble-Based Semi-Supervised Learning with Chair(s): Wang Xiaofei, Duke University Medical Center Optimal Feature Weighting—◆Joseph Retzer, Maritz Research 2:05 p.m. Haplotype-Based Regression Analysis with 3:20 p.m. Developing an Adaptive Individualized Therapy Transmitted and Nontransmitted Haplotypes— Trial for Life-Threatening Chronic Disease—◆Yiyun ◆Yung-Hsiang Huang, National Taiwan University Tang, The University of North Carolina at Chapel Hill; 2:20 p.m. Accounting for Disease Model Uncertainty in Michael Kosorok, The University of North Carolina at Mapping Heterogeneous Traits: A Bayesian Model Chapel Hill Averaging Approach—◆Swati Biswas, University of 3:35 p.m. Floor Discussion North Texas Health Science Center 2:35 p.m. Risk Effect Estimation for Secondary Phenotypes and Gene-Environment Interaction: A Conditional Likelihood Approach—◆Arpita Ghosh, The University of North Carolina at Chapel Hill; Fred A. Wright, The University of North Carolina at Chapel Hill; Fei Zou, The University of North Carolina at Chapel Hill 2:50 p.m. Estimation of Association in Case-Control Studies with Potential Population Structure—◆Yong Chen, Johns Hopkins University; Kung-Yee Liang, Johns Hopkins University

218 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

522 CC-141 3:05 p.m. A New Permutation-Based Method for the Numerical Algorithm in Modern Estimation and Evaluation of the Agreement Between Two Observers with Replicated Binary Observations— Inference—Contributed ◆Yi Pan, Emory University; Michael J. Haber, Section on Statistical Computing, Interface Foundation of Emory University North America 3:20 p.m. Functional Linear Model with Zero-Value Coefficient Chair(s): Brian J. Smith, The University of Iowa Function at Sub-Region—◆Jianhui Zhou, University of Virginia; Naisyin Wang, Texas A&M University 2:05 p.m. Efficient Exact Inference for the Common Odds 3:35 p.m. Functional Latent Feature Models for Data with Ratio—◆Bruce Barrett, The University of Alabama; Longitudinal Covariate Processes—◆Erning Li, J. Brian Gray, The University of Alabama Texas A&M University; Yehua Li, The University of 2:20 p.m. Computational Methods for Time-Dependent Georgia; Nae-Yuh Wang, Johns Hopkins University Relational Data—◆Andrew C. Thomas, School of Medicine; Naisyin Wang, Texas Harvard University A&M University 2:35 p.m. Stochastic Root-Finding and Optimization via the Adaptive Simultaneous Perturbation Algorithm— ◆James C. Spall, Johns Hopkins University Applied Physics Laboratory 524 CC-208B 2:50 p.m. Exact Algorithms for Decompressing the Log- Bayesian Theory and Estimation—Contributed Compressed Echo Envelope of Medical Section on Bayesian Statistical Science Ultrasound Images—◆Kai-Sheng Song, Chair(s): Leanna House, Virginia Polytechnic Institute and University of North Texas State University 3:05 p.m. Semiparametric Efficient Estimation and EM Algorithm for Partially Linear Model with Missing 2:05 p.m. Bayesian Parameter Estimation for Partial Data—◆Mingyu Li, Rutgers University; Minge Xie, Differential Equation Models—◆Darren E. Gemoets, Rutgers University University of Wyoming; Kiona Ogle, University of 3:20 p.m. Robust Tail Sums for Differential Gene Expression Wyoming; Jarrett Barber, University of Wyoming Analysis—◆June Luo, Clemson University 2:20 p.m. Some New Application Results of the 3:35 p.m. Distribution of Statistics of Hidden State Sequences C-Characteristics Function—◆Thomas J.M. Jiang, via the Sum-Product Algorithm Over Factor National Chengchi University Graphs—◆Donald E.K. Martin, North Carolina 2:35 p.m. Density Estimation on Riemannian Manifolds— State University ◆Justin Jacobs, University of Maryland, Baltimore County 2:50 p.m. Bayesian Estimation of Burr Type XII Distribution from Progressively Type II--Censored Samples— 523 CC-158A Seongho Song, University of Cincinnati; ◆Younshik Nonparametric Methods for Functional and Chung, Pusan National University; Chansoo Kim, Longitudinal Data—Contributed Kongju National University; Junghoon Jang, Korea Wednesday Food and Drug Association Section on Nonparametric Statistics Chair(s): Jing Zhou, BlackRock, Inc. 3:05 p.m. Consistency in Multivariate Bayesian Density Estimation—◆Subhashis Ghoshal, North Carolina State University; Yuefeng Wu, North Carolina 2:05 p.m. Recent History Functional Linear Model for State University Sparse Longitudinal Data—◆Kion Kim, Penn State University; Senturk Damla, Penn State University 3:20 p.m. Bayes and Empirical Bayes Estimation in Lognormal Regression Model—◆Yogendra P. 2:20 p.m. Assessment of Measurement Agreement for Chaubey, Concordia University; Fassil Nebebe, Functional/Longitudinal Data—◆Mina Yoo, Penn Concordia University State University; Runze Li, Penn State University 3:35 p.m. Floor Discussion 2:35 p.m. Astronomical Transient Detection Through Functional Data Analysis—◆Darren W. Homrighausen, Carnegie Mellon University 2:50 p.m. Assessing Individual Observer Agreement in Studies Involving Replicated Ordinal Observations—◆Jingjing Gao, Emory University

Washington, DC 219 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

525 CC-203A 2:50 p.m. Identification and Classification of Expressed RNA Probes in Microarray Experiments—◆Sigrun H. Bayesian Analysis—Contributed Lund, University of Iceland; Daniel F. Gudbjartsson, Biometrics Section, Section on Bayesian Statistical Science deCODE genetics; Julius Gudmundsson, deCODE Chair(s): Jennifer Schumi, Statistics Collaborative, Inc. genetics; Gunnar Stefansson, University Iceland; Thorunn Rafnar, deCODE genetics 2:05 p.m. Using Dynamic Bayesian Networks with Hidden 3:05 p.m. A Mixture Model for Microarray Data with Saturated States to Infer Gene Regulatory Networks— Pixels—◆Yan Yang, Arizona State University ◆Andrea Rau, Purdue University; Florence Jaffrézic, 3:20 p.m. Improved Variance Smoothing Method for French National Institute for Agricultural Research; Testing Differential Expression in Affymetrix Jean-Louis Foulley, French National Institute for Oligonucleotide Microarrays—◆Parul Gulati, The Agricultural Research; Rebecca W. Doerge, Ohio State University; David Jarjoura, The Ohio Purdue University State University; Soledad Fernandez, The Ohio State 2:20 p.m. Mixed Effects and Multilevel Models in the Presence University; Lianbo Yu, The Ohio State University; of Random Effects Heterogeneity—◆David Michael Pennell, The Ohio State University Afshartous, University of Miami; Geert Verbeke, 3:35 p.m. Noise Reduction for Array CGH Data Using Katholieke Universiteit Leuven; Richard A. Preston, Technical Covariates and Probe-Level Information— University of Miami ◆Tobias Guennel, Virginia Commonwealth 2:35 p.m. Model Averaging for Multifactor Stability Studies— University; Mark Reimers, Virginia ◆Seth Clark, Merck & Co., Inc.; Robert Noble, Miami Commonwealth University University of Ohio 2:50 p.m. Estimation of Disease Prevalence from Imperfect Diagnostic Tests on Pooled Samples with Varying Pool Sizes—◆Christopher J. Williams, University 527 CC-208A of Idaho Time Series—Contributed 3:05 p.m. Estimation of Correlation Using Bayesian Approach IMS for Measuring Co-Expression of Genes to Improve Chair(s): Natallia Katenka, University of Michigan Functional Inference in Co-Expression Networks— ◆Suman Duvvuru, The University of Tennessee 2:05 p.m. Testing Regression Means with Autoregressive 3:20 p.m. A Bayesian Hierarchical Model for Clustering Errors—◆Sheng-Mao Chang, National Cheng Bernstein Polynomial Density Estimates— Kung University ◆Charlotte C. Gard, University of Washington; Elizabeth R. Brown, University of Washington 2:20 p.m. Memory-Length Parameter Estimation for the Rosenblatt Process Using Longer Filters— 3:35 p.m. A Bayesian Approach to Model Robust Designs— ◆Alexandra Chronopoulou, Purdue University ◆Vincent Agboto, Meharry Medical College; Christopher Nachtsheim, The University 2:35 p.m. Long-Range Dependence and Operator Self- of Minnesota; W. Li, University of Minnesota Similarity—◆Gustavo Didier, Tulane University 2:50 p.m. First-Order Bias Correction for Fractionally Integrated Time Series—◆Jaechoul Lee, Boise State University; Kyungduk Ko, Boise State University 526 CC-203B 3:05 p.m. Malaria Transmission Dynamics: A Formal Microarray Data—Contributed Comparison of Rival Hypotheses—◆Anindya Biometrics Section Bhadra, University of Michigan; Edward Ionides, University of Michigan Chair(s): Scarlett L. Bellamy, University of Pennsylvania 3:20 p.m. Floor Discussion

2:05 p.m. Maximum Entropy Modeling for Gene Expression Microarray Data—◆Xue Lin, FDA; Daniel Q. Naiman, Johns Hopkins University; Donald Geman, Johns Hopkins University 528 CC-201 ■ 2:20 p.m. Testing Biological Processes in Microarray Issues in Multi-Regional Trials, Medical Device Experiments Using Prespecified Gene Sets— Trials, and Sample Size—Contributed ◆Shuyan (Sabrina) Wan, Merck Research Biopharmaceutical Section Laboratories; Xiang Yu, Merck Research Laboratories Chair(s): Kyung Sook Kim, FDA 2:35 p.m. Generalized A-Optimality for Microarray Experimental Designs—◆Nilgun Ferhatosmanoglu, 2:05 p.m. A New Approach to Model Region Treatment Effects Bilkent University in Clinical Trials—◆Hua Guo, Merck Research Laboratories

220 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

2:20 p.m. Power and Multiplicity Assessment for a Composite Endpoint and Its Components in Multi-Regional Poster Presentations Clinical Trials—Hongwei Wang, Merck & Co., Inc.; 2:00 p.m.–3:30 p.m. Weili He, Merck & Co., Inc.; ◆Liang Chen, Merck & Co., Inc. 2:35 p.m. Determination of Sample Size in Multi-Regional 530 CC-L Street Bridge Clinical Trials—◆Feng-shou Ko, National Health Topic-Contributed Oral Poster Presentations: Research Institutes; Hsiao-hui Tsou, National Health Reproducible Statistical Analysis— Research Institutes; Chin-fu Hsiao, National Health Topic-Contributed Research Institutes Section on Statistical Computing, Interface Foundation of 2:50 p.m. An Algorithm for Selecting Cases to Evaluate a North America ◆ Digital Mammography System— David C. Hoaglin, Organizer(s): Russell V. Lenth, The University of Iowa Abt Bio-Pharma Solutions, Inc.; Lynn Fletcher- Chair(s): Lara Schmidt, RAND Corporation Heath, Carestream Health, Inc. 3:05 p.m. Adjusting for Nonignorable and Partially Ignorable Verification Bias in Estimating ROC Curve and Its Applications and case studies Area—◆Danping Liu, University of Washington; 01 Reproducible Statistical Analyses With StatWeave— Xiao-Hua (Andrew) Zhou, University of Washington ◆Russell V. Lenth, The University of Iowa 3:20 p.m. Ceiling and Regression Effects on Clinical 02 Rapid Reproducible Training: From Outline to Slides and Endpoints in Medical Device Studies—◆Daniel P. Handouts in One Click—◆William Rising, StataCorp LP Reyner, Zimmer Holdings, Inc 3:35 p.m. Sample Size Determination and Interpretation of Biometrics, bioinformatics, computational biology Safety Findings in Clinical Studies with an MTD 03 Using SASweave to Integrate SAS and R Code and Expansion Cohort—◆Guohui Li, Millennium Results in a Book—◆Ken Kleinman, Harvard Medical Pharmaceuticals; Noe Dennis, Millennium School/Harvard Pilgrim Health Care; Nicholas Horton, Pharmaceuticals Smith College

Sampling and survey methodology 529 CC-204B 04 Reproducible Teaching: Using Stat/SASWeave in the Classroom—◆Bonnie LaFleur, University of Arizona ■ Topics in Linear Models—Contributed Biopharmaceutical Section Chair(s): Jing Han, FDA 531 CC-L Street Bridge 2:05 p.m. Invariance in Multivariate Linear Models with High Contributed Oral Poster Presentations— Dimension, Low Sample Size—◆Yueh-Yun Chi, Contributed University of Florida; Keith E. Muller, University Section on Statistical Computing of Florida Wednesday 2:20 p.m. Estimation of Treatment Efficacy in the Presence of Noncompliance and Competing Risks in Computational statistics, numerical methods, simulation Randomized Controlled Trials—◆Lily Altstein, 05 Model for Fitting Two Lines to Data—◆Penelope M. Ellis, University of California, Los Angeles Texas Tech University; Chris Monico, Texas Tech University; Clyde Martin, Texas Tech University 2:35 p.m. Analysis of Zero-Inflated Continuous Data— ◆Madhuja Mallick, Merck Research Laboratories 06 Six Sigma and Fuzzy Logic—◆Morteza Marzjarani, Saginaw Valley State University 2:50 p.m. Sigmoid Curves and a Case for Close-to-Linear Nonlinear Models—◆Charles Tan, Merck Research 07 Stepwise Discriminant Analysis as a Post-Hoc to a ◆ Laboratories; Ying Su, Merck Research Laboratories Significant MANOVA— Raj Chandran, University of Northern Colorado; Daniel J. Mundfrom, University of 3:05 p.m. The Impact of a Misspecified Error Distribution on Northern Colorado the Inference in the Linear Mixed Model—◆Li Liu, 08 Potentiating Sample-Based Constrained Optimization sanofi-aventis; Donghui Zhang, sanofi-aventis Problems—◆Martin Levy, University of Cincinnati; Zhiyuan 3:20 p.m. Estimating Shelf Life Using Quantile Regression Dong, University of Cincinnati; James J. Cochran, Louisiana with Random Batch Effects—◆Michelle Quinlan, Tech University University of Nebraska-Lincoln; Walter Stroup, 09 Comparisons of Model Selection Strategies in Time-to- University of Nebraska-Lincoln; James Schwenke, Event Models—◆Lin Pan, Emory University; Zhiheng Xu, Boehringer Ingelheim Pharmaceuticals, Inc. Emory University; Haibin Wang, Emory University; 3:35 p.m. A Power Transformation for Minimizing Mourad Tighiouart, Emory University Heteroscedasticity in the General Linear Model— ◆Mitchell J. Rosen, ICON Clinical Research

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GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

10 Sequential Monte Carlo Samplers for Transportation statistics Bayesian Generalized Linear Mixed Models— 16 Targeting Polluting Vehicles for Car Scrappage Programs ◆Yi-Ju Chen, University of Wisconsin-Madison; Using Factor Analysis—◆Peng Wu, University of California, Yi-Liang Tung, Consultant Davis; Shuang Liu, University of California, Davis

Environmetrics, ecology, agriculture, wildlife management 532 CC-L Street Bridge 17 Investigating Spatial and Seasonal Variations in Radiation Contributed Oral Poster Presentations— Levels—◆Madhuri S. Mulekar, University of South Alabama; Sytske Kimball, University of South Alabama Contributed 18 The Role of Statistics in Ecological Risk Assessment for Section on Statistics and the Environment Pesticide Registration—◆Christine Hartless, Chair(s): Lara Schmidt, RAND Corporation U.S. Environmental Protection Agency

Reliability and survival modeling, risk analysis 11 Reliability Goodness-of-Fit for Oil Spills in the Gulf of Mexico—◆William V. Harper, Otterbein College; Ted G. Eschenbach, TEG Consulting; Thomas R. James, Invited Sessions 4:00 p.m.–5:50 p.m. Otterbein College 533 CC-Ballroom A-B Spatial statistics, spatio-temporal modeling, GIS COPSS Awards and Fisher Lecture—Invited 12 Statistical Tools for Evaluating Spatial Seasonal Fire ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical Potential Indices—◆Cindy S. Leary, University of Montana; Association, International Indian Statistical Association Jonathan M. Graham, University of Montana Patricia L. ; Organizer(s): Madhuri S. Mulekar, University of South Alabama Andrews, USDA Forest Service; William M. Jolly, USDA Chair(s): Jessica M. Utts, University of California, Irvine Forest Service

4:05 p.m. Where, When, and Then Why—◆Noel A. Cressie, Environmetrics, ecology, agriculture, wildlife management The Ohio State University 13 Locating Changes in Land Use from Long-Term Remote Sensing Data in Morocco—◆Maliha S. Nash, U.S. 5:30 p.m. Floor Discussion Environmental Protection Agency; Deborah J. Chaloud, U.S. Environmental Protection Agency; William Kepner, U.S. Environmental Protection Agency

Time series, wavelet analysis, signal processing 14 Model Prediction of Ambient Ozone Concentrations— ◆Katerina G. Tsakiri, State University of New York

at Albany; Igor Zurbenko, State University of New York Wednesday at Albany

Environmetrics, ecology, agriculture, wildlife management 15 Ecological Thresholds Using Aquatic Macroinvertebrates as Indicators of Stream Health in the Mid-Atlantic and Eastern Rivers and Mountains Vital Signs Networks— ◆Ying Liu, Virginia Polytechnic Institute and State University; Jianying Lou, Virginia Polytechnic Institute and State University; Eric Smith, Virginia Polytechnic Institute and State University

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tHURSDAY, August 6

Tours Special Presentation

TR15 - Annapolis: Highlighting the U.S. Naval Academy 8:30 a.m.–10:20 a.m. 9:00 a.m.–2:00 p.m. 534 CC-207A TR16 - Historic Tour of Mt. Vernon Introductory Overview Lecture: Statistical 10:00 a.m.–2:00 p.m. Learning and Data Mining—Other ASA, ENAR, IMS, SSC, WNAR, International Chinese Statistical Association, International Indian Statistical Association Committee/Business Meetings & Organizer(s): Ji Zhu, University of Michigan Chair(s): Simon Sheather, Texas A&M University Other Activities 8:35 a.m. Statistical Learning and Data Mining—◆David J. 7:00 a.m.–10:30 a.m. CC-East Registration Hand, Imperial College Cyber Center 10:00 a.m. Floor Discussion 7:00 a.m.–12:00 p.m. CC-154A Speaker Management Room Invited Sessions 7:30 a.m.–10:00 a.m. CC-East Registration ASA Marketplace 8:30 a.m.–10:20 a.m.

7:30 a.m.–10:30 a.m. CC-East Registration 535 CC-143B ASA Membership/Special Assistance/Press Desk High-Dimensional Variable Selection: At the Crossroad of Bayes’ Frequentist Interface— 7:30 a.m.–10:30 a.m. CC-East Registration Invited JSM Main Registration Section on Bayesian Statistical Science Organizer(s): Samiran Ghosh, Indiana University Purdue 8:00 a.m.–10:00 a.m. RH-Meeting Room 16 University Indianapolis COS Business Meeting II Chair(s): Dipankar Bandyopadhyay, Medical University of Chair(s): Janet Buckingham, Southwest Research Institute South Carolina

8:00 a.m.–1:00 p.m. CC-East Registration 8:35 a.m. Spike and Slab Priors for Bayesian Variable JSM Luggage Storage Selection—◆Marina Vannucci, Rice University 10:00 a.m.–11:00 a.m. RH-Meeting Room 16 9:00 a.m. Structured Variable Selection and Estimation— ◆Ming Yuan, Georgia Institute of Technology COSGB Business Meeting II Chair(s): Janet Buckingham, Southwest Research Institute 9:25 a.m. Model Selection for Partial Smoothing Splines— ◆Hao (Helen) Zhang, North Carolina State University; Guang Cheng, Purdue University 9:50 a.m. Enforced Spike and Slab Sparsity—◆Hemant Ishwaran, Cleveland Clinic Foundation 10:15 a.m. Floor Discussion Thursday

Washington, DC 225 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

536 CC-102B 538 CC-149B ■ ✪ Perspectives in Genomics Research— ■ Chemometrics—Invited Invited Section on Physical and Engineering Sciences, Section on Committee of Representatives to AAAS Quality and Productivity Organizer(s): Turkan K. Gardenier, Pragmatica Corp. Organizer(s): Kerby Shedden, University of Michigan Chair(s): Turkan K. Gardenier, Pragmatica Corp. Chair(s): Ji Zhu, University of Michigan

8:35 a.m. Search for Genetic Markers of Susceptibility for 8:35 a.m. Understanding Heterogeneity of Chemical Breast and Prostate Cancer—◆Gilles F. Thomas, Localization in Live Cells—◆Kerby Shedden, National Cancer Institute University of Michigan 9:00 a.m. A Novel Nonparametric Approach to Genetics, 9:05 a.m. Screening Compounds for Monotone Association Genomics, and Phenomics—◆Knut M. Wittkowski, with Convex Combinations of Activity Predictors The Rockefeller University Over Unspecified Subpopulations of Cell-Lines— ◆Joseph S. Verducci, The Ohio State University; 9:25 a.m. Genome-Wide Association Studies: A Look at Their Li Yu, The Ohio State University; Paul Blower, Past, Present, and Future—◆John Barnard, The The Ohio State University Cleveland Clinic Foundation 9:35 a.m. A Co-Training Algorithm for Multiview Data with 9:50 a.m. Disc: Robert C. Elston, Case Western Applications in Data Fusion—◆Mark Culp, West Reserve University Virginia University; George Michailidis, University 10:10 a.m. Floor Discussion of Michigan 10:05 a.m. Floor Discussion

537 CC-201 ■ Pharmacokinetic and Pharmacodynamic 539 CC-206 Modeling—Invited The Influence of Psychology, Cartography, and Biopharmaceutical Section, Biometrics Section Computer Science on the Design of Interactive Organizer(s): Alan H. Hartford, Merck & Co., Inc. Graphics for Spatial Statistical Data—Invited Chair(s): Alan H. Hartford, Merck & Co., Inc. Section on Statistical Graphics, Section on Government Statistics, Interface Foundation of North America 8:35 a.m. A Model-Based Framework for Quantitative Organizer(s): Linda Williams Pickle, StatNet Consulting LLC Decisionmaking in Drug Development—◆Kenneth Chair(s): Linda Williams Pickle, StatNet Consulting LLC G. Kowalski, Ann Arbor Pharmacometrics Group; Jonathan L. French, Pfizer Inc.; Mike K. Smith, Pfizer Inc.; Matthew M. Hutmacher, Ann Arbor 8:35 a.m. Cognitive Psychology and Statistical Map Pharmacometrics Group Reading—◆Douglas J. Herrmann, Indiana State University (retired) 9:00 a.m. Leveraging Pharmacokinetic (PK) and Pharmacodynamic (PD) Knowledge in Early 9:00 a.m. Grounding Exploratory Spatial Data Analysis Tool Clinical Drug Development—◆Ene I. Ette, Design in Cartographic Theory, Practice, and Anoixis Corporation Empirical Research—◆Alan MacEachren, Penn State University 9:25 a.m. Computational Methods for Nonlinear Mixed Models—◆Douglas M. Bates, University of 9:25 a.m. Data Cartography: The View from Human Computer Wisconsin-Madison Interaction—◆Danyel A. Fisher, Microsoft Research 9:50 a.m. Leveraging Exposure Response Information 9:50 a.m. Visualizing Patterns in Data with Micromaps— for Efficient Drug Development: Impact of ◆Daniel B. Carr, George Mason University Pharmacometrics—◆Pravin R. Jadhav, FDA 10:15 a.m. Floor Discussion 10:15 a.m. Floor Discussion

226 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

540 CC-144A 542 CC-204C ■ ✪ From Data to Decisionmaking: Applied ■ Recent Advances in Nonparametric Methods Statisticians Protecting the Environment— for Interval-Censored Data—Invited Invited ENAR, Biometrics Section, Biopharmaceutical Section Section on Statistics and the Environment, Section on Organizer(s): Dipankar Bandyopadhyay, Medical University of Statistics in Epidemiology, Social Statistics Section, Section South Carolina on Government Statistics Chair(s): Samiran Ghosh, Indiana University Purdue University Organizer(s): Jenise Swall, U.S. Environmental Protection Agency; Indianapolis Kristen M. Foley, U.S. Environmental Protection Agency Chair(s): Kristen M. Foley, U.S. Environmental Protection Agency 8:35 a.m. Confidence Intervals for Current Status Data with Competing Risks—◆Marloes H. Maathuis, ETH 8:35 a.m. Given Limited Resources, What Can Be Done Zurich; Michael Hudgens, The University of North to Reduce Elevated Blood Lead Levels in Carolina at Chapel Hill Children?—◆William F. Hunt, Jr., North 9:00 a.m. Asymptotics of Interval-Censored Data Under Carolina State University; Barry D. Nussbaum, Various Observation Time Schemes—◆Moulinath U.S. Environmental Protection Agency; Steve Banerjee, University of Michigan Somers, North Carolina State University; Josh 9:25 a.m. Nonparametric Inference in Multistate Models Drukenbrod, U.S. Environmental Protection Agency; with Interval-Censored Data—◆Somnath Datta, Ashley Myers, North Carolina State University University of Louisville; Ling Lan, Medical College 9:00 a.m. As the Population Turns: The Case of Elevated of Georgia Blood Lead Levels and Changing Social 9:50 a.m. Multistate Analysis of Bivariate Interval-Censored Phenomena—◆Barry D. Nussbaum, U.S. Failure Time Data—◆Richard Cook, University Environmental Protection Agency Ronnie ; of Waterloo Levin, U.S. Environmental Protection Agency 10:15 a.m. Floor Discussion 9:25 a.m. Science Policy Interface at U.S. EPA: Some Views from One Who’s Been There—◆Rita Schoeny, U.S. Environmental Protection Agency 9:50 a.m. Putting a Regulation Through: Where Statistics Fit 543 CC-102A In—◆Elizabeth H. Margosches, U.S. Environmental Protection Agency ■ Statistical Methods in Bioinformatics—Invited SSC, Section on Bayesian Statistical Science, 10:15 a.m. Floor Discussion Biopharmaceutical Section Organizer(s): Karen A. Kopciuk, Alberta Cancer Board Chair(s): Karen A. Kopciuk, Alberta Cancer Board 541 CC-202B New Developments in Financial Econometrics— 8:35 a.m. Current Issues in Genome-Wide Association Invited Studies of Complex Traits—◆Shelley B. Bull, Samuel Lunenfeld Research Institute of Mount Sinai WNAR Hospital; Lei Sun, University of Toronto Organizer(s): Yingying Fan, University of Southern California 9:05 a.m. Statistical Issues Involved in the Analysis of High- Chair(s): Tao Huang, University of Virginia Throughput ChIP Assays—◆Raphael Gottardo, Institut de Recherche Cliniques de Montreal 8:35 a.m. Vast Volatility Matrix Estimation for High-Frequency 9:35 a.m. Effects of Measurement Error in Microarray Financial Data—◆Yazhen Wang, National Data Analysis—◆Wenqing He, University of Science Foundation Western Ontario 9:05 a.m. Modeling and Forecasting Bond Yield Curves 10:05 a.m. Floor Discussion with Functional Dynamic Models—◆Rong Chen, Rutgers University 9:35 a.m. Parameter Estimation and Model Testing for

Markov Processes via Conditional Characteristic Thursday Functions—◆Song Xi Chen, Iowa State University; Liang Peng, Georgia Tech; Cindy L. Yu, Iowa State University 10:05 a.m. Floor Discussion

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544 CC-143C Invited Panels 8:30 a.m.–10:20 a.m. Bayesian Methods for Model Uncertainty— Invited IMS, Section on Bayesian Statistical Science 546 CC-149A Organizer(s): David Dunson, Duke University Memorial for Hubert Lilliefors—Invited Memorial Chair(s): David Dunson, Duke University Organizer(s): Fritz Scheuren, NORC at the University of Chicago Chair(s): Shail J. Butani, Bureau of Labor Statistics 8:35 a.m. Bayesian Subgroup Analysis—◆James Berger, Statistical and Applied Mathematical Sciences Institute Panelists: ◆Reza Modarres, The George Washington University 9:05 a.m. Flexible Approaches for Computing Marginal ◆Bob Smythe, Oregon State University Likelihoods—◆Robert J. Kohn, University of ◆Fritz Scheuren, NORC at the University of Chicago New South Wales ◆Robert Shumway, University of California, Davis 9:35 a.m. Effective Sample Size in Linear Models—◆Susie ◆Nozer Singpurwalla, The George Washington Bayarri, University of Valencia; James Berger, University Statistical and Applied Mathematical Sciences Institute; Luis R. Pericchi, University of Puerto Rico 10:15 a.m. Floor Discussion 10:05 a.m. Floor Discussion

Topic-Contributed Sessions 545 CC-143A 8:30 a.m.–10:20 a.m. Inference for Parameters of Biological and Biochemical Processes Modeled via Branching Processes and Their Variants—Invited 547 CC-204B IMS ■ Considerations on Design and Analysis for Organizer(s): Anand Vidyashankar, Cornell University Multi-Regional Trials—Topic-Contributed Chair(s): Anand Vidyashankar, Cornell University Biopharmaceutical Section Organizer(s): Yoko Tanaka, Eli Lilly and Company Chair(s): Yoko Tanaka, Eli Lilly and Company 8:35 a.m. Inference for Quantitation Parameters in Polymerase Chain Reactions via Branching Processes with Random Effects—◆Bret Hanlon, 8:35 a.m. Considerations on Criteria for Consistency Across Cornell University; Anand Vidyashankar, Regions in Multi-Regional Trials—◆Kimitoshi Ikeda, Cornell University Novartis Pharma K.K. 9:05 a.m. Composite Likelihood Estimation for Age- 8:55 a.m. Issues in Evaluating Multiregional Clinical Trials— Dependent Branching Processes Using CFSE- ◆Yuki Ando, Pharmaceuticals and Medical Labeling Data—◆Ollivier Hyrien, University of Devices Agency Rochester; Rui Chen, University of Rochester Medical 9:15 a.m. Prediction of Fracture Risk Based Upon Baseline Center; Martin S. Zand, University of Rochester Characteristics—◆Kyoungah See, Eli Lilly and 10:05 a.m. Floor Discussion Company 9:35 a.m. Sample Size Considerations for Japanese Patients in a Multi-Regional Trial Based on MHLW Guidance—◆Hui Quan, sanofi-aventis; Peng-Liang Zhao, sanofi-aventis; Ji Zhang, sanofi-aventis; Martin Roessner, sanofi-aventis; Kyo Aizawa, sanofi-aventis 9:55 a.m. Disc: James Hung, FDA 10:15 a.m. Floor Discussion

228 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

548 CC-144B 9:55 a.m. On the Exchangeable Multinomial Distribution— ◆ ■ ✪ E. Olusegun George, The University of Memphis; Bayesian Semiparametric Methods in Kyeongmi Cheon, The University of Memphis; L. Biostatistics—Topic-Contributed Yuan, The University of Memphis Section on Bayesian Statistical Science 10:15 a.m. Floor Discussion Organizer(s): Sujit Ghosh, North Carolina State University Chair(s): Sujit Ghosh, North Carolina State University

8:35 a.m. A Bayesian Semiparametric Accelerated Failure 550 CC-155 Time Cure Model for Censored Data—◆Elizabeth C. ■ ✪ Temporal and Cross-Sectional Consistency Nelson, North Carolina State University; Sujit Ghosh, in Purchasing Power Parities—Topic- North Carolina State University; Wenbin Lu, North Carolina State University Contributed Business and Economic Statistics Section 8:55 a.m. Center-Adjusted Inference for a Nonparametric Bayesian Random Effect Distribution—◆Yisheng Organizer(s): Kim Zieschang, International Monetary Fund Li, The University of Texas M.D. Anderson Cancer Chair(s): Alan Heston, The University of Pennsylvania Center; Peter Müller, The University of Texas M.D. Anderson Cancer Center; Xihong Lin, Harvard School 8:35 a.m. An Econometric Approach to Construct World of Public Health Tables of Purchasing Power Parities and Real 9:15 a.m. A Variable Selection Approach to Bayesian Incomes: Analytical Properties and Tables for 1970– Monotonic Regression with Bernstein 2005—D.S. Prasada Rao, University of Queensland; Polynomials—◆S. McKay Curtis, University of ◆Alicia Rambaldi, University of Queensland; H.E. Washington; Sujit Ghosh, North Carolina State Doran, University of Queensland University 8:55 a.m. Index Number Approaches to Spatial and Temporal 9:35 a.m. Bayesian Independent Component Analysis Using Consistency: Comparing the 1985 and 2005 ICP Mixture Priors—◆Ani Eloyan, North Carolina Global Benchmarks—W. Erwin Diewert, University State University; Sujit Ghosh, North Carolina of British Columbia; ◆D.S. Prasada Rao, University State University of Queensland; Kim Zieschang, International Monetary Fund 9:55 a.m. Semiparametric Bayesian Approach for Testing Noninferiority Using Relative Risk and Odds 9:15 a.m. Updating and Backdating the 2005 ICP Results: Ratio for Binary Data—◆Muhtarjan Osman, North Isolating Sample Design Effects with Application Carolina State University; Sujit Ghosh, North to Asia—◆Yuri Dikhanov, World Bank Carolina State University 9:35 a.m. Intertemporal Comparisons of Regional Price 10:15 a.m. Floor Discussion Parities in the United States, 2003–2007— ◆Bettina H. Aten, Bureau of Economic Analysis 9:55 a.m. Floor Discussion 549 CC-158A ✪ Semiparametric Procedures in Statistical Analysis—Topic-Contributed 551 CC-150A Section on Risk Analysis ■ ✪ Using the Current Population Survey to Organizer(s): Norou Diawara, Old Dominion University Analyze the Labor Force Characteristics of Chair(s): Mohammad Ahsanullah, Rider University Persons with Disabilities—Topic-Contributed Section on Survey Research Methods, Social Statistics Section, 8:35 a.m. Forecasting Mortality Rates via Density Section on Government Statistics Ratio Modeling—◆Benjamin Kedem, Organizer(s): Stephen M. Miller, Bureau of Labor Statistics University of Maryland Chair(s): Donsig Jang, Mathematica Policy Research, Inc. 8:55 a.m. Mixture of Bivariate Exponential Distributions— ◆Norou Diawara, Old Dominion University 8:35 a.m. Statistical Estimation for Persons with Disabilities as Measured in the Current Population Survey— 9:15 a.m. Approximate Bayesian Computation for Thursday Flexible Quantile Distributions—◆Robert King, ◆Stephen M. Miller, Bureau of Labor Statistics Newcastle University 8:55 a.m. Labor Force Analysis of Those Identified as 9:35 a.m. Neural Networks: A Flexible Nonlinear Model— Disabled in the CPS—◆Anne E. Polivka, Bureau of ◆Barbara Bailey, San Diego State University Labor Statistics 9:15 a.m. An Evaluation of Efforts to Use a Work Disability Question to Evaluate the Labor Force Situation of Persons with a Disability—◆Terence M. McMenamin, Bureau of Labor Statistics

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9:35 a.m. The Addition of Questions on Disability to the 9:15 a.m. Streaming Poisson Data—◆David W. Scott, Current Population Survey—◆Steven F. Hipple, Rice University Bureau of Labor Statistics 9:35 a.m. Nonparametric Density Estimation of Streaming 9:55 a.m. Disc: Thomas W. Hale, Social Security Administration Data Using Orthogonal Series—◆Kyle A. Caudle, 10:15 a.m. Floor Discussion U.S. Naval Academy; Edward J. Wegman, George Mason University 9:55 a.m. Grid Computing and Applications—◆Abdullah A. Alnoshan, The George Washington University; 552 CC-202A Shmuel Rotenstreich, The George Washington Designs for Early-Phase Clinical Trials— University Topic-Contributed 10:15 a.m. Floor Discussion Biometrics Section, Biopharmaceutical Section, Section on Bayesian Statistical Science Organizer(s): Xuelin Huang, The University of Texas M.D. Anderson Cancer Center 554 CC-158B Chair(s): Ying Yuan, The University of Texas M.D. Anderson Nonresponse Bias Analysis—Topic-Contributed Cancer Center Section on Survey Research Methods, Section on Government Statistics Organizer(s): Shail J. Butani, Bureau of Labor Statistics 8:35 a.m. Bayesian Methods in Clinical Research— ◆Wei Chen, Karmanos Cancer Institute Chair(s): Larry L. Huff, Bureau of Labor Statistics 8:55 a.m. Calibration of the Continual Reassessment Method—◆Shing Lee, Columbia University; 8:35 a.m. An Assessment of the Effect of Calibration on Ying Kuen Cheung, Columbia University Nonresponse Bias in the 2006 Agricultural Resource Management Survey—◆Morgan S. 9:15 a.m. Achieving Covariate Balance in Clinical Trials with Earp, National Agricultural Statistics Service; Outcome-Adaptive Randomization—Jing Ning, The Jaki McCarthy, National Agricultural Statistics University of Texas M.D. Anderson Cancer Center; Service; Nick D. Schauer, National Agricultural ◆Xuelin Huang, The University of Texas M.D. Statistics Service; Phillip S. Kott, U.S. Department Anderson Cancer Center of Agriculture 9:35 a.m. Dose-Schedule Finding in Phase I/II Clinical 8:55 a.m. Assessing Nonresponse Bias in the Consumer Trials Using a Bayesian Isotonic Transformation— Expenditure Interview Survey—◆Susan King, ◆Benjamin N. Bekele, The University of Texas M.D. Bureau of Labor Statistics; Boriana Chopova, Bureau Anderson Cancer Center; Yisheng Li, The University of Labor Statistics; Jennifer Edgar, Bureau of of Texas M.D. Anderson Cancer Center; Yuan Ji, The Labor Statistics; Jeffrey Gonzalez, Bureau of Labor University of Texas M.D. Anderson Cancer Center Statistics; David McGrath, Bureau of Labor Statistics; 9:55 a.m. Adaptive Randomization Designs for Oncology Lucilla Tan, Bureau of Labor Statistics Trials with Both Short-Term and Long-Term 9:15 a.m. Conducting Nonresponse Bias Analyses for Two Outcomes—◆Hao Liu, Baylor College of Medicine; Business Surveys at the U.S. Census Bureau: Xuelin Huang, The University of Texas M.D. Methods and (Some) Results—◆Katherine J. Anderson Cancer Center Thompson, U.S. Census Bureau 10:15 a.m. Floor Discussion 9:35 a.m. Components of Error Analysis in the Current Employment Statistics Survey—Larry L. Huff, Bureau of Labor Statistics; ◆Julie Gershunskaya, Bureau of Labor Statistics 553 CC-207B 9:55 a.m. Disc: Clyde Tucker, Bureau of Labor Statistics ■ ✪ Computing Environments and Large Data 10:15 a.m. Floor Discussion Sets—Topic-Contributed Section on Statistical Computing Organizer(s): Yasmin Said, George Mason University Chair(s): Yasmin Said, George Mason University

8:35 a.m. Multivariate Data Adaptive Compression and Density Estimation—◆Edward J. Wegman, George Mason University; Roger Shores, U.S. Census Bureau 8:55 a.m. A Swift Swiftian Look at Massive Data Sets— ◆Antony Unwin, Uni Augsburg

232 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

555 CC-204A Topic-Contributed Panels ■ Abdominal Obesity: Searching for the Best Measure—Topic-Contributed 8:30 a.m.–10:20 a.m. Section on Statistics in Epidemiology Organizer(s): Marike Vuga, University of Pittsburgh 557 CC-101 Chair(s): Kenneth Schechtman, Washington University in St. Louis ■ GAISE in the Online Course— Topic-Contributed 8:35 a.m. Characterization of the Conicity Index in the US Section on Statistical Education Adult Population—◆Rodolfo Valdez, CDC; Organizer(s): David Zeitler, Grand Valley State University Tiebin Liu, CDC Chair(s): David Zeitler, Grand Valley State University 8:55 a.m. Where to Draw the Line for Abdominal Obesity: ◆ Evidence from International Data— Mark Panelists: ◆Michelle Everson, The University of Minnesota Woodward, Mount Sinai School of Medicine ◆Sue Schou, Idaho State University 9:15 a.m. Conceptual Review of Issues with Practical Abdominal Obesity Measures—◆Marike Vuga, ◆Patti B. Collings, Brigham Young University University of Pittsburgh ◆Jamis Perrett, Texas A&M University 9:35 a.m. Abdominal Volume Index—◆Fernando Guerrero- 8:55 a.m. Floor Discussion Romero, Mexican Social Security Institute; Martha Rodriguez-Moran, Mexican Social Security Institute 9:55 a.m. Methodological Issues in the Use of Anthropometric Surrogates of Abdominal Obesity—◆Ike S. Okosun, Contributed Sessions Georgia State University 10:15 a.m. Floor Discussion 8:30 a.m.–10:20 a.m.

558 CC-144C Bayesian Methods—Contributed 556 CC-159A IMS, Section on Bayesian Statistical Science ■ ✪ 2007 Census of Agriculture— Chair(s): Ali Shojaie, University of Michigan Topic-Contributed Section on Government Statistics, SSC, Section on Survey 8:35 a.m. Batch Means and Spectral Variance Estimators in Research Methods Markov Chain Monte Carlo—◆James M. Flegal, Organizer(s): Carol House, National Agricultural Statistics Service University of California, Riverside; Galin L. Jones, Chair(s): Mark Harris, National Agricultural Statistics Service The University of Minnesota 8:50 a.m. Conditional Simulation in the Two-Stage 8:35 a.m. Coverage Adjustment on the 2007 Census of Hierarchical Model—◆Ronald Neath, Baruch Agriculture—◆Matt Fetter, National Agricultural College; Galin L. Jones, The University of Minnesota Statistics Service 9:05 a.m. On Estimating the Spectral Densities of a Class 8:55 a.m. Overview of the Census of Agriculture—◆Chris S. of Stationary Spatio-Temporal Processes— Messer, National Agricultural Statistics Service ◆Hui Xu, St. Cloud State University; Herman 9:15 a.m. Searching for Donors: Refining an Imputation Rubin, Purdue University Strategy—◆Michael Hogye, National Agricultural 9:20 a.m. Misspecification in the Latent Class and Latent Statistics Service; Peter Quan, National Agricultural Markov Model—◆David Kaplan, University of Statistics Service Wisconsin-Madison 9:35 a.m. 2007 Census of Agriculture Nonresponse 9:35 a.m. Recurrent Sets and Communcation for Methodology—◆William Cecere, National Monotonically Decreasing Nonstationarity— Agricultural Statistics Service ◆Zach Dietz, Hamilton College 9:55 a.m. Impact of Outreach Initiatives on the 2007 9:50 a.m. Some Admissible Minimax Formal Bayes Estimators Census of Agriculture—◆William Iwig, of a Multivariate Normal Mean—◆Brian Shea, Thursday National Agricultural Statistics Service The University of Minnesota 10:15 a.m. Floor Discussion 10:05 a.m. General Maximum Likelihood Empirical Bayes Estimation of Normal Means—◆Wenhua Jiang, Rutgers University; Cun-Hui Zhang, Rutgers University

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559 CC-142 9:35 a.m. Extra Variation Logistic Regression Models ◆ ■ Bayesian Control of Error Rates and Over Time— Winston A. Richards, Penn State University Harrisburg Networks—Contributed 9:50 a.m. A Consequence of Ignoring Clustering of Item Section on Bayesian Statistical Science Responses Obtained from Complex Samples Chair(s): Leanne Streja, University of California, Los Angeles During Item Response Theory Scaling: Biased Estimation of Item Discrimination Parameters— 8:35 a.m. Empirical Bayes FCR Controlling Confidence ◆Aaron Douglas, Mathematica Policy Research, Inc. Intervals—◆Zhigen Zhao, Cornell University; 10:05 a.m. Specification and Interpretation of Models for J.T. Gene Hwang, Cornell University Monotonic Change to an Asymptote: A Nonlinear 8:50 a.m. Insights into p-values and Bayes Factors from Mixed Effects Approach—◆Joseph R. Rausch, False Positive and False Negative Bayes Factors— Cincinnati Children’s Hospital Medical Center ◆Hormuzd Katki, National Cancer Institute 9:05 a.m. Assessing Frequentist Operating Characteristics for a Bayesian Design: A Case Study—◆Zachary Skrivanek, Eli Lilly and Company; Brenda Gaydos, Eli 561 CC-203A Lilly and Company; Scott Berry, Berry Consultants Survival Analysis Methods in Epidemiology— 9:20 a.m. Gaussian Graphical Models Using Covariance Contributed Selection—◆Rajesh Talluri, Texas A&M University; Section on Statistics in Epidemiology Bani K. Mallick, Texas A&M University Chair(s): Ronald Gangnon, University of Wisconsin-Madison 9:35 a.m. Posterior Distributions on Networks—◆Lili Zhuang, The Ohio State University Noel A. Cressie, The Ohio ; 8:35 a.m. Efficiency of the Maximum Partial Likelihood State University Estimator Under Nested Case-Control Design— 9:50 a.m. Objective Bayesian Graphical Model Selection Larry Goldstein, University of Southern California; with Bayes Factors Based on Test Statistics and ◆Haimeng Zhang, Mississippi State University Nonlocal Alternative Priors: How Do Interactions of 8:50 a.m. Time-Varying Effects of Prognostic Factors ◆Adarsh DNA Components Lead to a Disease?— Associated with Disease-Free Survival in Breast Joshi, The University of Texas M.D. Anderson Cancer Cancer—◆Karen Messer, University of California, Center Jianhua Hu, The University of Texas M.D. ; San Diego; Minya Pu, University of California, San Anderson Cancer Center Valen E. Johnson, The ; Diego; Barbara Parker, University of California, San University of Texas M.D. Anderson Cancer Center Diego; Cynthia Thomson, University of Arizona; 10:05 a.m. Floor Discussion Bette Caan, Kaiser Permanente Northern California; Shirley Flatt, University of California, San Diego; Lisa Madlensky, University of California, San Diego; Richard Hajek, The University of Texas 560 CC-160 M.D. Anderson Cancer Center; Wael Al-Delaimy, Analytic: IRT, MCMC, SEM—Contributed University of California, San Diego; Nazmus Saquib, University of California, San Diego; Ellen Social Statistics Section Gold, University of California, Davis; John Pierce, Chair(s): Sherri Pals, CDC University of California, San Diego; Loki Natarajan, University of California, San Diego 8:35 a.m. Line Search Algorithm for Maximum Likelihood 9:05 a.m. Analyzing Bivariate Survival Data with in Exponential Families—◆Saisuke Okabayashi, Interval Sampling and Application to Cancer The University of Minnesota; Charles J. Geyer, Epidemiology—◆Hong Zhu, Johns Hopkins The University of Minnesota Bloomberg School of Public Health; Mei-Cheng 8:50 a.m. A Choice of the Number of Factors and Hyper- Wang, Johns Hopkins Bloomberg School of Parameter Selection in Bayesian Factor Analysis Public Health Model—◆Kei Hirose, Kyushu University; Shuichi 9:20 a.m. Covariate Bias Induced by Length-Biased Sampling Kawano, Kyushu University; Sadanori Konishi, of Failure Times—◆Pierre-Jerome Bergeron, Kyushu University; Masanori Ichikawa, Tokyo University of Ottawa; Masoud Asgharian, McGill University of Foreign Studies University; David B. Wolfson, McGill University 9:05 a.m. Identification of Latent Structure: Inside or Outside 9:35 a.m. Survival Function with Informative Drop-Outs: Using Structural Equation Model?—◆Hee-Choon Shin, FGM Copula—◆Md Monir Hossain, The University NORC at the University of Chicago of Texas Health Science Center at Houston; Tosiya S. 9:20 a.m. Structural Equation Model Diagnosis Using Two Sato, Kyoto University; Mohammad H. Rahbar, The Scatter Plots—◆Ke-Hai Yuan, University of Notre University of Texas Health Science Center at Houston Dame; Kentaro Hayashi, University of Hawaii 9:50 a.m. Semiparametric Method for Cure Rate Model— ◆Feifei Zhou, The University of Hong Kong

234 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

10:05 a.m. Modeling Exchangeable Binary Data with 9:05 a.m. Use of Podcast Technology for an Online Business Dependence Between the Design and Outcome Statistics Course—◆Begona Perez-Mira, Louisiana Success Probabilities—◆David Todem, Michigan State University; Joni Ancona Nunnery, Louisiana State University; Karen P. Williams, Michigan State University State University 9:20 a.m. Interactive Quizzes for Continuous Learning and Evaluation—◆Gunnar Stefansson, University Iceland; Asta J. Sigurdardottir, The Commercial College of Iceland 562 CC-157 9:35 a.m. Using Personal Laptops to Improve Statistics Dimension Reduction in Regression— Education—Andrew G. Glen, West Point; ◆JoAnna Contributed Crixell, West Point; Richard Bell, Auburn University Interface Foundation of North America, Section on Statistical 9:50 a.m. Throw Away the Calculator and Teach Statistics— Learning and Data Mining ◆Gerald Keller, Wilfrid Laurier University Chair(s): Mark Fiecas, Brown University 10:05 a.m. Developmental Trajectories of Health Science Students’ Statistics Reasoning and Mastery— 8:35 a.m. Weighted Bidimensional Regression—◆Kendra ◆Ralph M. Turner, University of the Sciences K. Schmid, University of Nebraska Medical Center; David Marx, University of Nebraska-Lincoln; Ashok Samal, University of Nebraska-Lincoln 8:50 a.m. On Ridge Regression, Convexity, and Nonlinear 564 CC-205 Problems—◆Prasenjit Kapat, The Ohio State Sparsity and Shrinkage in Modern Statistical University; Prem K. Goel, The Ohio State University Modeling—Contributed 9:05 a.m. Network Exploration via the Adaptive LASSO Section on Statistical Computing, Interface Foundation of and SCAD Penalties—Jianqing Fan, Princeton North America University; ◆Yang Feng, Princeton University; Chair(s): Jeffrey L. Solka, Naval Surface Warfare Center Yichao Wu, North Carolina State University 9:20 a.m. Nonlinear Regression Modeling via Bayesian 8:35 a.m. Sparse Sufficient Dimension Reduction and Regularization with Lasso-Type Penalties—◆Shohei Variable Selection—◆Xin Chen, University Tateishi, Kyushu University; Sadanori Konishi, of Minnesota; R. Dennis Cook, The University Kyushu University of Minnesota 9:35 a.m. Cancer Microarray Feature Selection Using Support 8:50 a.m. Shrinkage Estimators and Their Efficiency in Vector Machines: Comparing Regularization Reliability Calculations—◆Mohammed A. Shayib, Techniques—◆Tim Peters, Macquarie University; Prairie View A&M University; Aliakbar Montazer David Bulger, Macquarie University; Jean Y.H. Haghighi, Prairie View A&M University Yang, University of Sydney; To-ha Loi, St. Vincent’s Hospital; David Ma, St. Vincent’s Hospital 9:05 a.m. Coordinate Descent Algorithms for Nonconvex Penalized Regression Methods—◆Patrick 9:50 a.m. Random Lasso—◆Sijian Wang, University of Breheny, The University of Iowa; Jian Huang, Wisconsin-Madison; Bin Nan, University of The University of Iowa Michigan; Saharon Rosset, Tel Aviv University; Ji Zhu, University of Michigan 9:20 a.m. Estimation of the Proportion of Exponential Signals—◆Deepak Ayyala, University of Maryland, 10:05 a.m. Variable Selection for the Varying Coefficient Cox Baltimore County; Junyong Park, University Model—◆Lifeng Wang, Michigan State University; of Maryland, Baltimore County; Anindya Roy, Hongzhe Li, University of Pennsylvania; Jianhua University of Maryland, Baltimore County Huang, Texas A&M University 9:35 a.m. Estimating the Continuous Mixing Distribution by Cross-Validation in Mixture Models—◆Ji-Ping Wang, Northwestern University 563 CC-210 9:50 a.m. On the Use of K-Fold Cross-Validation to Choose Cutoff Values and Assess the Performance of Teaching and Technology—Contributed Predictive Models in Stepwise Regression— Section on Statistical Education ◆ Salahuddin Khan, University of Peshawar Thursday Chair(s): Kellie Keeling, University of Denver 10:05 a.m. Floor Discussion

8:35 a.m. Expect More, Get More: Joys of Teaching Online— ◆Olcay Akman, Illinois State University 8:50 a.m. Searching Our Collective Consciousness: A Google Trends Activity for Introductory Statistics—◆Eric Nordmoe, Kalamazoo College

Washington, DC 235 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

565 CC-148 9:50 a.m. Coherence Analysis of EEG Signals: A Advanced Topics—Contributed Nonparametric Likelihood Approach— ◆Suddhasatta Acharyya, Novartis Section on Physical and Engineering Sciences, Section on Pharmaceuticals; Hernando Ombao, Quality and Productivity Brown University Chair(s): Elizabeth Martínez-Gómez, National Autonomous 10:05 a.m. Assessing Time-Changing Hurst Exponent and University of Mexico Variance in Multifractional Brownian Motion— ◆Kichun S. Lee, Georgia Institute of Technology; 8:35 a.m. Numerical Algorithm-Based Estimation Methods Brani Vidakovic, Georgia Tech/Emory University for ODE Models—◆Arun Kumar, University of Rochester; Hulin Wu, University of Rochester; Hongqi Xue, Rochester University 8:50 a.m. Optimal Block Designs for Correlated 567 CC-150B Observations—◆Nizam Uddin, University of ■ ✪ Policy-Impacting Estimation Issues— Central Florida Contributed 9:05 a.m. A Robust Nonlinear Method for Spectral Analysis— Section on Government Statistics, Social Statistics Section, ◆Ta-Hsin Li, IBM T. J. Watson Research Center Section on Survey Research Methods 9:20 a.m. Statistical Response of Chaotic Networks to Chair(s): Iris Shimizu, National Center for Health Statistics Structured Noise—◆Morris H. Morgan, Hampton University; Carolyn B. Morgan, Hampton University 8:35 a.m. A Three-Phase Model of Census Inclusion— 9:35 a.m. The Optimum Combination of Full System and ◆Douglas Olson, U.S. Census Bureau Subsystem Tests for Estimating the Reliability of a System—◆Coire J. Maranzano, Johns Hopkins 8:50 a.m. Assessing the Effects of Imputation on Income University Applied Physics Laboratory; James C. Estimates in the U.S. Consumer Expenditure Spall, Johns Hopkins University Applied Survey: Comparison with the Current Population ◆ Physics Laboratory Survey— William D. Passero, Bureau of Labor Statistics 9:50 a.m. Floor Discussion 9:20 a.m. The Impact of Allocations as a Tool for Statistical Editing of Corporate Taxpayer Administrative Records—◆Marty Harris, IRS, Statistics of Income 566 CC-141 9:35 a.m. Propensity Scoring: An IRS Case Study in Determining the Relationship Between Bank Empirical Likelihood—Contributed Products and Noncompliance—◆Karen C. Section on Nonparametric Statistics Masken, IRS; Mark Mazur, IRS; Joanne Meikle, Chair(s): R. Webster West, Texas A&M University IRS; Roy Nord, IRS 9:50 a.m. Trends in Early Childhood Vaccination Coverage: 8:35 a.m. Bivariate Models with Partially Known Marginals: Progress Toward U.S. Healthy People 2010 Goals— An Empirical Likelihood Approach with Infinitely ◆Zhen Zhao, CDC; Philip J. Smith, CDC; Elizabeth T. Many Constraints—◆Anton Schick, Binghamton Luman, CDC University; Hanxiang Peng, Indiana University 10:05 a.m. Floor Discussion Purdue University Indianapolis 8:50 a.m. Bayesian Empirical Likelihood for Quantile Regression—◆Yunwen Yang, University of Illinois at Urbana-Champaign 568 CC-203B 9:05 a.m. Entropy-Based Empirical Likelihood Ratio Change Causal Inference—Contributed Point Detection Policies—◆Albert Vexler, New York Biometrics Section State University at Buffalo; Gregory Gurevich, Sami Chair(s): Jing Cheng, University of Florida Shamoon College 9:20 a.m. An Empirical Likelihood--Based Method for Comparison of Treatment Effects: Test of Equality 8:35 a.m. Entire Matching and Its Application in an of Coefficients in Linear Models—◆Haiyan Su, Observational Study of Treatments for Melanoma— ◆ University of Rochester; Hua Liang, University Frank B. Yoon, University of Pennsylvania; Paul R. of Rochester Rosenbaum, University of Pennsylvania 9:35 a.m. Nonparametric Maximum Likelihood Estimation 8:50 a.m. A General Approach to Causal Mediation Analysis— ◆ of the Probability Density Function and Hazard Kosuke Imai, Princeton University; Luke Keele, Function—◆Ilya Shvartsman, Penn State The Ohio State University; Dustin Tingley, University Harrisburg Princeton University

236 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:05 a.m. Extending Propensity Score Subclassification 570 CC-153 Approach for Causal Effect Estimation Allowing Statistical Methods—Contributed Covariate Measurement Error—◆Yi Huang, University of Maryland, Baltimore County; Karen Business and Economic Statistics Section Bandeen-Roche, Johns Hopkins Bloomberg School Chair(s): Marco A.R. Ferreira, University of Missouri-Columbia of Public Health 9:20 a.m. Generalized Causal Mediation Analysis—◆Jeffrey 8:35 a.m. An Analysis of Segmented Ratios—◆William D. M. Albert, Case Western Reserve University Heavlin, Google, Inc. 9:35 a.m. Free-Living Inferential Glucose Dynamic Modeling 8:50 a.m. Just a Few More Moments: The g-and-h Using Only Noninvasive Input—◆Derrick Rollins, Distribution—◆James B. McDonald, Brigham Young Iowa State University; Lucas Beverlin, Iowa State University; Patrick Turley, Brigham Young University University; Nisarg Vyas, BodyMedia, Inc.; Gregory 9:05 a.m. Toward Learning Similarity Measures for Uncertain Welk, Iowa State University; Warren Franke, Iowa Features—◆Ming Xie, IBM China Research State University Laboratory; Bin Zhang, IBM China Research 9:50 a.m. Identify Qualitative Interaction Through Value of Laboratory; Li Xia, IBM China Research Laboratory; Information—◆Peng Zhang, University of Michigan; Jin Yan Shao, IBM China Research Laboratory; James Robins, Harvard School of Public Health; Wenjun Yin, IBM; Jin Dong, IBM China Susan Murphy, University of Michigan Research Laboratory 10:05 a.m. Effect Modification of Prenatal Mercury Exposure 9:20 a.m. Temporal Aggregation of Long Memory Processes Association with Developmental Outcomes by and ARFIMA Approximations—◆Ka S. Man, Social and Environmental Factors—◆Tanzy Love, Western Illinois University Carnegie Mellon University; Sally W. Thurston, 9:35 a.m. Testing the Equivalence of Means from a University of Rochester Multivariate Normal Population and Its Application to Investment—◆Hubert J. Chen, National Cheng- Kung University; Yen-Chi Huang, National Cheng- 569 CC-208A Kung University; Minglong A. Wang, National Microarray Analysis and Missing Data— Cheng-Kung University Contributed 9:50 a.m. Computational Methods for Production-Based Biometrics Section, Section on Survey Research Methods Asset Pricing Models—◆Eric M. Aldrich, Duke Chair(s): Tao Liu, Brown University University; Howard Kung, Duke University 10:05 a.m. On the Optimal Degree of Smoothness for a 8:35 a.m. A Random Pattern Mixture Model for Longitudinal Hodrick Prescott Filter—◆Munir Jalil, Universidad Binary Outcome with Informative Dropouts— Nacional de Colombia; Javier Acosta, Universidad ◆Chengcheng Liu, Merck & Co., Inc.; Wensheng Nacional de Colombia Guo, University of Pennsylvania; Sarah Ratcliffe, University of Pennsylvania 8:50 a.m. Outfluence: The Impact of Missing Values— ◆Ofer Harel, University of Connecticut 571 CC-159B ■ ✪ 9:05 a.m. Multiple Imputation for Drop-Out in Longitudinal Improvements in Sample Design for Studies—Xiaodong Li, Columbia University; Government-Sponsored Surveys—Contributed ◆Jingchen Liu, Columbia University; Naihua Duan, Section on Survey Research Methods, Section on Columbia University; Huiping Jiang, Columbia Government Statistics University; Jeffrey Lieberman, Columbia University; Chair(s): Sarjinder Singh, Texas A&M University-Kingsville Ragy Girgis, Columbia University

9:20 a.m. Multiple Imputation in Right-Truncated Multivariate 8:35 a.m. Achieving the Unique Objectives of the Canadian Normal Distribution, with Applications to RT-PCR— Health Measures Survey—◆Sarah-Maude Dion, ◆Abhijit Dasgupta, Thomas Jefferson University; Statistics Canada; Suzelle Giroux, Statistics Canada Terry Hysolp, Thomas Jefferson University; Scott Waldman, Thomas Jefferson University 8:50 a.m. Sample Redesign of Canadian Local Government Surveys—◆James Ahkong, Statistics Canada; Martin 9:35 a.m. Robust Variable and Model Selection with Missing Renaud, Statistics Canada Data—◆Greg DiRienzo, State University of New York Thursday at Albany 9:05 a.m. Reducing the Public Employment Survey Sample Size—◆Joseph Barth, U.S. Census Bureau 9:50 a.m. Floor Discussion 9:20 a.m. National Sample Reallocation for the Occupational Employment Statistics Survey—◆David Piccone, Bureau of Labor Statistics; Marie Stetser, Bureau of Labor Statistics

Washington, DC 237 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

9:35 a.m. Evaluation of Methods for Increasing Precision in DAWN: Stratification and Ratio Estimation— Invited Sessions ◆Peter Frechtel, RTI International 10:30 a.m.–12:20 p.m. 9:50 a.m. Progress on the Redesign of the Quarterly Tax Survey—◆Amy Couzens, U.S. Census Bureau; Carma Hogue, U.S. Census Bureau; Paul Villena, 573 CC-102B U.S. Census Bureau ■ ✪ Nonparametric Regression Estimators in 10:05 a.m. Exploring Statistical Issues of Annual Sampling Survey Sampling—Invited for the Current Population Survey—◆Benjamin M. Section on Survey Research Methods Reist, U.S. Census Bureau; Antoinette Lubich, U.S. Organizer(s): Daniell Toth, Bureau of Labor Statistics Census Bureau; Reid Rottach, U.S. Census Bureau Chair(s): John L. Eltinge, Bureau of Labor Statistics

10:35 a.m. Nonparametric Regression Estimators in Survey Sampling—◆Sharon Lohr, Arizona State University; 572 CC-208B Guillermo Mendez, American Express ■ Microarray and Genomics—Contributed 11:00 a.m. Penalized Balanced Sampling: Nonparametric Biopharmaceutical Section Guidance for Survey Design—◆Jay Breidt, Colorado Chair(s): Shiowjen Lee, FDA State University; Guillaume Chauvet, National Institute for Statistics and Economic Studies 8:35 a.m. A Rank Approach to Identify Outlier Tissue— 11:25 a.m. Nonparametric Regression and the Two Sample ◆Dung-Tsa Chen, Moffitt Cancer Center & Research Problem—◆Alan H. Dorfman, Bureau of Institute; Lin-An Chen, National Chiao-Tung Labor Statistics University 11:50 a.m. Disc: Jean Opsomer, Colorado State University 8:50 a.m. A Cluster Binomial Model for Resistance-Mutations 12:10 p.m. Floor Discussion Detectable in Clonal Sequencing Analysis— ◆Jianliang Zhang, MedImmune, LLC 9:05 a.m. Deforestation of a Random Forest—◆Matthew Mitchell, Metabolon, Inc. 574 CC-150A 9:20 a.m. Determination of Sample Size for Validation Study ■ Statistical Issues and the Second Code of in Pharmacogenomics—◆Youlan Rao, The Ohio Life: Epigenomics—Invited State University; Yoonkyung Lee, The Ohio State University; Jason Hsu, The Ohio State University Biometrics Section, Section on Bayesian Statistical Science, International Indian Statistical Association 9:35 a.m. Robust Test for Time-Course Microarray Data— Organizer(s): Rebecca W. Doerge, Purdue University; Jaya ◆Insuk Sohn, Duke University; Kouros Owzar, Duke Satagopan, Memorial Sloan-Kettering Cancer Center University; Stephen L. George, Duke University Medical Center; Sin-Ho Jung, Duke University Chair(s): Rebecca W. Doerge, Purdue University 9:50 a.m. Time Course Analysis of Microarray Data for the Pathway of Reproductive Development in Female 10:35 a.m. Epigenetic Natural Variation in Arabidopsis Rainbow Trout—◆Yushi Liu, The Ohio State Thaliana—◆Robert A. Martienssen, Cold Spring University; Joseph S. Verducci, The Ohio Harbor Laboratory State University 11:00 a.m. Statistical Issues Surrounding Testing for 10:05 a.m. Floor Discussion Epigenomic Alterations—◆Hongmei Jiang, Northwestern University 11:25 a.m. Whole Genome DNA Methylation Studies: Prioritization of Candidate Loci—◆Melissa J. Fazzari, Albert Einstein College of Medicine 11:50 a.m. Inferring the Past: How Did Your Cancer Grow?— ◆Kimberly Siegmund, University of Southern California; Paul Marjoram, University of Southern California; Darryl Shibata, University of Southern California 12:15 p.m. Floor Discussion

238 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

575 CC-207B 577 CC-207A ■ Who Is Teaching the Statistics Courses?— ■ ✪ Collaborative and Value-Creating Processes Invited for Statistical Computing: Transforming Data Section on Statistical Education Evidence Into Successful Policies, Decisions, Organizer(s): Peter Westfall, Texas Tech University and Actions—Invited Chair(s): Katherine T. Halvorson, Smith College Section on Statistical Computing, Interface Foundation of North America 10:35 a.m. A National Survey on Teaching Practices in Organizer(s): Arnold Goodman, Collaborative Data Solutions Undergraduate Statistics Instruction—◆Robert Chair(s): Necip Doganaksoy, GE Global Research delMas, The University of Minnesota; Joan B. Garfield, The University of Minnesota; Andrew 10:35 a.m. Collaborative and Value-Creating Processes Zieffler, The University of Minnesota for Statistical Computing—◆Arnold Goodman, 11:00 a.m. An Inventory of (Bio)statistics Courses at an Collaborative Data Solutions Academic Health Science Center: Is Duplication 10:55 a.m. Model Misspecification versus Problem Really Necessary?—◆Adriana Perez, University of Misspecification—◆David J. Hand, Imperial College Louisville; Mourad Atlas, University of Louisville; Carl A. Hornung, University of Louisville 11:15 a.m. An Essential Aspect of the Climb from Competition to Collaboration: The Relationships Among the 11:25 a.m. Who Is Teaching the Statistics Courses?— Climbers—◆Doug Zahn, Zahn and Associates ◆Aaron Satterlee, Northwood University 11:35 a.m. The Evolving Role of Statistics in Business and 11:50 a.m. Duplication in Graduate-Level Courses in Industry—◆Necip Doganaksoy, GE Global Research; ◆Peter Westfall, Texas Tech University Statistics— ◆Gerald Hahn, GE Corporate Research and 12:15 p.m. Floor Discussion Development Center, Retired 11:55 a.m. Disc: Janet Myhre, Claremont McKenna College 12:15 p.m. Floor Discussion 576 CC-150B ■ Extending the Marginal Structural Model— Invited 578 CC-155 Section on Statistics in Epidemiology ■ ✪ Measuring Financial and Real Sector Organizer(s): Stephen R. Cole, The University of North Carolina at Linkages—Invited Chapel Hill Business and Economic Statistics Section Chair(s): Stephen R. Cole, The University of North Carolina at Chapel Hill Organizer(s): Kim Zieschang, International Monetary Fund Chair(s): Kim Zieschang, International Monetary Fund

10:35 a.m. Survival Analysis with Dynamic Marginal Structural Models—◆Miguel A. Hernan, Harvard School of 10:35 a.m. The End of the Great Moderation? How Better Public Health Monetary Statistics Could Have Signaled the Systemic Risk Precipitating the Financial Crisis— 11:00 a.m. Estimation of Dynamic Treatment Regimes ◆William A. Barnett, The University of Kansas; and Extrapolation to Populations with Distinct Marcelle Chauvet, University of California, Riverside Monitoring Structures: The Use of Laboratory Monitoring to Detect HIV Treatment Failure— 11:05 a.m. Computing Real Bank Services—◆Dennis Fixler, ◆Maya L. Petersen, University of California, Berkeley Bureau of Economic Analysis; Marshall B. Reinsdorf, Bureau of Economic Analysis 11:25 a.m. Extending Marginal Structural Models to Surrogate Outcomes—◆Marshall Joffe, University of 11:35 a.m. Measurement Error in Monetary Aggregates: A Pennsylvania Markov Switching Factor Approach—William A. Barnett, The University of Kansas; ◆Marcelle 11:50 a.m. Disc: James Robins, Harvard School of Public Health Chauvet, University of California, Riverside; 12:10 p.m. Floor Discussion Tierney Heather, College of Charleston 12:05 p.m. Floor Discussion Thursday

Washington, DC 239 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

579 CC-102A 581 CC-143C ■ ✪ Using National Center for Health Statistics ■ ✪ Case Studies in the Area of Dynamic Data to Study Access to Health Care—Invited Treatment Regimes—Invited Section on Health Policy Statistics, Section on Survey ENAR, Biometrics Section, Biopharmaceutical Section Research Methods, Social Statistics Section, Section on Organizer(s): Qi Long, Emory University Government Statistics Chair(s): Brent Johnson, Emory University Organizer(s): Jane F. Gentleman, National Center for Health Statistics 10:35 a.m. Structural Nested Mean Modeling of Response- Chair(s): Jane F. Gentleman, National Center for Health Statistics Maximized Breastfeeding Strategies—Erica E.M. Moodie, McGill University; ◆Susan Shortreed, 10:35 a.m. Using the National Health Interview Survey to McGill University Monitor Health Insurance and Access to Care— 11:00 a.m. Targeted Maximum Likelihood Estimation of ◆Robin A. Cohen, National Center for Individualized Treatment Rule Effects—◆Kelly Health Statistics Moore, University of California, Berkeley; Mark J. 10:55 a.m. Access to Care and Objective Measures of Health: van der Laan, University of California, Berkeley; Ira Results from the National Health and Nutrition Tager, University of California, Berkeley; Romain Examination Survey (NHANES)—◆Vicki L. Burt, Neugebauer, University of California, Berkeley National Center for Health Statistics; Lester R. 11:25 a.m. Dynamic Treatment Regimes in Leukemia Curtin, CDC; Clifford Johnson, National Center for Treatment—◆Abdus S. Wahed, University Health Statistics; Cindy Zhang, Harris Associates of Pittsburgh 11:15 a.m. Health care access data for children and 11:50 a.m. Disc: Andrea Rotnitzky, Universidad Di Tella and adolescents from the National Survey of Children Harvard University with Special Health Care Needs and the National Survey of Children’s Health—◆Rosa Avila, National 12:10 p.m. Floor Discussion Center for Health Statistics 11:35 a.m. Using the National Health Care Surveys to Monitor Use and Access to Health Care—◆Nancy Sonnenfeld, National Center for Health Statistics; 582 CC-202B Sandra L. Decker, National Center for Bayesian Methods—Invited Health Statistics IMS, Section on Bayesian Statistical Science 11:55 a.m. Disc: Diane M. Makuc, National Center for Organizer(s): Mario Peruggia, The Ohio State University Health Statistics Chair(s): Mario Peruggia, The Ohio State University 12:15 a.m. Floor Discussion 10:35 a.m. Aggregation Modeling—◆Steven N. MacEachern, The Ohio State University; Zhen Wang, The Ohio State University 580 CC-201 11:05 a.m. A Clusterwise Approach for Heterogeneous Best of Statistics Surveys: The Open Access Variable Selection—◆Feng Liang, University of Journal for Review Articles—Invited Illinois at Urbana-Champaign ASA Special Interest Group on Statistical Learning and Data 11:35 a.m. Nonlocal Prior Densities for Default Bayesian Mining, International Indian Statistical Association Hypothesis Tests—◆Valen E. Johnson, The Organizer(s): Wendy Martinez, U.S. Department of Defense University of Texas M.D. Anderson Cancer Center; David Rossell, IRB Barcelona Chair(s): Jon A. Wellner, University of Washington 12:05 p.m. Floor Discussion 10:35 a.m. Navigating Random Forests and Related Algorithms—◆David S. Siroky, Duke University 11:00 a.m. Text Data Mining: Theory and Methods—◆Jeffrey L. 583 CC-202A Solka, Naval Surface Warfare Center Wald Lecture III—Invited 11:25 a.m. Least Angle and L1 Penalized Regression: A IMS Review—◆Tim Hesterberg, Google, Inc.; Nam Hee Choi, University of Michigan; Lukas Meier, ETH; Organizer(s): Michael Kosorok, The University of North Carolina at Chris Fraley, Insilicos Chapel Hill Chair(s): Peihua Qiu, The University of Minnesota 11:50 a.m. Disc: Edward J. Wegman, George Mason University 12:10 p.m. Floor Discussion 10:35 a.m. Predictive Learning via Rule Ensembles— ◆Jerome H. Friedman, Stanford University 12:00 p.m. Floor Discussion

240 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

Invited Panels 10:30 a.m.–12:20 p.m. 586 CC-142 Recent Advances in Statistical Inference Using Order Statistics—Topic-Contributed 584 CC-101 International Chinese Statistical Association ■ ✪ The Federal Statistical System: Organizer(s): Gang Zheng, National Heart, Lung, and Blood Institute Opportunities and Challenges for the Chair(s): Reza Modarres, The George Washington University Next 5–10 Years—Invited The National Academies, Section on Survey Research Methods, 10:35 a.m. Pitman Closeness of Estimators and Predictors Social Statistics Section, Section on Government Statistics for Exponential Distribution—◆Katherine Organizer(s): Constance F. Citro, The National Academies Davies, University of Manitoba; Narayanaswamy Chair(s): William F. Eddy, Carnegie Mellon University Balakrishnan, McMaster University; Jerome P. Keating, The University of Texas at San Antonio Panelists: ◆Cynthia Clark, National Agriculture 10:55 a.m. Statistical Analysis of Adaptive Progressively Statistics Service Censored Data—◆Hon Keung (Tony) Ng, Southern ◆Hermann Habermann, Consultant Methodist University; Debasis Kundu, Indian Institute of Technology Kanpur; Ping Shing Chan, ◆ Nancy Kirkendall, Consultant Chinese University of Hong Kong ◆ Katherine Wallman, Office of Management 11:15 a.m. Parametic Inference in Ranked Set Sampling Based and Budget on a Missing Data Model—◆Omer Ozturk, The Ohio 12:15 p.m. Floor Discussion State University 11:35 a.m. A Multivariate Wilcoxon Rank Sum Test Based on the Triangle Data Depth—◆Zhenyu Liu, The George Washington University Topic-Contributed Sessions 11:55 a.m. A Very Flexible Hybrid Censoring Scheme and Its Fisher Information—◆Sangun Park, Yonsei 10:30 a.m.–12:20 p.m. University; Narayanaswamy Balakrishnan, McMaster University 585 CC-143A 12:15 p.m. Floor Discussion ■ ✪ The Guatemalan Police Archive Project: Sample Design, Weighting, and Analysis— Topic-Contributed Social Statistics Section, Section on Government Statistics, 587 CC-149B Section on Survey Research Methods Methods, Computing, and Application of Organizer(s): Paul Zador, Westat, Inc. Copulas—Topic-Contributed Chair(s): Paul Zador, Westat, Inc. Business and Economic Statistics Section, SSC Organizer(s): Jun Yan, University of Connecticut 10:35 a.m. Studying Millions of Rescued Documents: Sampling Chair(s): Jun Yan, University of Connecticut Plan at the Guatemalan National Police Archive (GNPA)—◆Daniel R. Guzmán, Benetech; Tamy 10:35 a.m. Properties and Uses of the Empirical Copula Guberek, Benetech; Gary M. Shapiro, Westat, Inc.; Process—◆Christian Genest, Université Laval Paul Zador, Westat, Inc. 10:55 a.m. Copula-Based Tests of Independence Among 10:55 a.m. Weighting for the Guatemalan National Police Continuous Random Vectors—◆Ivan Kojadinovic, Archive Sample: Unusual Challenges and The University of Auckland Problems—◆Gary M. Shapiro, Westat, Inc.; 11:15 a.m. Archimedean Copulas and Beyond—◆Johanna Daniel Guzman, Benetech; Paul Zador, Westat, Inc.; Neslehova, ETH Zurich Tamy Guberek, Benetech 11:35 a.m. Local Power Analyses of Goodness-of-Fit Tests for 11:15 a.m. Analyzing Command and Control of the Copulas—◆Jean-Francois Quessy, Universite du Guatemalan National Police Leadership Over Quebec a Trois-Rivieres

Human Rights Violations: A Statistical Analysis Thursday of the National Police Archive—◆Megan Price, 11:55 a.m. Hierarchical Insurance Claims Modeling— Benetech; Daniel Guzman, Benetech; Paul Zador, ◆Emiliano A. Valdez, University of Connecticut; Westat, Inc.; Gary M. Shapiro, Westat, Inc.; Tamy Edward W. Frees, University of Wisconsin-Madison Guberek, Benetech 12:15 p.m. Floor Discussion 11:35 a.m. Disc: Patrick Ball, The Benetech Initiative 11:55 a.m. Disc: Hyunshik Lee, Westat, Inc. 12:15 p.m. Floor Discussion

Washington, DC 241 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

588 CC-204A 11:35 a.m. Developing an Independent Research Program on a ✪ Limited Budget and with Limited Time: Some Ideas Data User Experience: Working with Data for Biostatisticians—◆Justine Shults, University Protected by Synthetic Methods: Moving from of Pennsylvania; Richard F. Ittenbach, Cincinnati Theory to Practice: Synthetic Data in the Public Children’s Hospital Medical Center; Todd G. Nick, Domain—Topic-Contributed Cincinnati Children’s Hospital Medical Center Section on Government Statistics, Section on Survey 11:55 a.m. Disc: Sarah Ratcliffe, University of Pennsylvania Research Methods 12:15 p.m. Floor Discussion Organizer(s): J. Neil Russell, National Center for Education Statistics Chair(s): J. Neil Russell, National Center for Education Statistics

10:35 a.m. Partial Synthesis of the Longitudinal 590 CC-206 Employer-Household Dynamics Database— ■ ✪ Statistics at West Point: No Lies— ◆Simon Woodcock, Simon Fraser University; Topic-Contributed Gary Benedetto, U.S. Census Bureau Section on Statistics in Defense and National Security 10:55 a.m. The Synthetic Public-Use Release of the Organizer(s): Adam Wright, U.S. Military Academy at West Point Longitudinal Business Database—◆Satkartar Chair(s): Howard Burkom, Johns Hopkins applied Kinney, National Institute of Statistical Sciences; Physics Laboratory Jerome Reiter, Duke University; Ron Jarmin, U.S. Census Bureau; Arnold Reznek, U.S. Census Bureau; Javier Miranda, U.S. Census Bureau; John M. Abowd, 10:35 a.m. Periodic Spatio-Temporal Improvised Explosive Cornell University Device Attack Pattern Analysis—◆Matthew Benigni, 11:15 a.m. Generating Multiply Imputed Synthetic Data Sets U.S. Military Academy; Reinhard Furrer, Colorado for a German Establishment Survey: The Agency’s School of Mines Perspective—◆Joerg Drechsler, Institute for 10:55 a.m. Using Variable Screening and Logistic Regression Employment Research to Determine the Impact of Friendly Activity on ◆ 11:35 a.m. Improving the Usefulness of Synthetic Data: Some Improvised Explosive Device Incidents— Darryl Recent Advances—◆Jerome Reiter, Duke University Ahner, U.S. Military Academy ◆ 11:55 a.m. Disc: Jack Buckley, New York University 11:15 a.m. Epidemiological Studies in the Military— Rodney Sturdivant, U.S. Military Academy; Robert Burks, 12:15 p.m. Floor Discussion U.S. Military Academy; Brett Owens, William Beaumont Army Medical Center; Jennifer Wolf, University of Colorado Denver; Ken Cameron, Keller Army Hospital 589 CC-159A 11:35 a.m. Analysis of Refractive Surgery Data from a Young ■ Statistical Consulting with Limited and Extremely Healthy Population—◆Vaughn Resources—Topic-Contributed DeLong, U.S. Military Academy; Scott T. Nestler, U.S. Section on Statistical Consulting Military Academy at West Point; Chris Grauel, U.S. Military Academy Organizer(s): Richard F. Ittenbach, Cincinnati Children’s Hospital Medical Center 11:55 a.m. Small Arms Effective Life Studies—◆Matthew Chair(s): Mi-Ok Kim, Cincinnati Children’s Hospital Medical Center Benigni, U.S. Military Academy; Scott T. Nestler, U.S. Military Academy at West Point; Dana Gingrich, U.S. Military Academy; Gary Kramlich, U.S. Army 10:35 a.m. Scale Development on a Limited Budget: 12:15 p.m. Floor Discussion Guidelines for Statisticians—◆Richard F. Ittenbach, Cincinnati Children’s Hospital Medical Center; Amy E. Cassedy, Cincinnati Children’s Hospital Medical Center; Todd G. Nick, Cincinnati Children’s Hospital Medical Center; Justine Shults, 591 CC-144C University of Pennsylvania ■ Bayesian Approaches in Clinical Trials: 10:55 a.m. Creative Problem Solving in Statistical Consulting Regulatory Perspectives—Topic-Contributed with Limited Time and a Limited Budget—◆Mark Biopharmaceutical Section, Section on Bayesian Glickman, Boston University School of Public Health Statistical Science 11:15 a.m. Grant Proposal Development Assistance on a Organizer(s): Tie-Hua Ng, FDA Limited Budget: Guidelines for Statisticians— Chair(s): Henry Hsu, FDA ◆Todd G. Nick, Cincinnati Children’s Hospital Medical Center; Ralph G. O’Brien, Case Western Reserve University 10:35 a.m. Safety Evaluation of Factor VIII Products: Bayesian Approaches—◆Ghanshyam Gupta, FDA

242 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

10:55 a.m. Bayesian Approaches: Basic Concepts— 10:55 a.m. Understanding the Size of p-Values—◆Scotland ◆Tie-Hua Ng, FDA Leman, Virginia Polytechnic Institute and 11:15 a.m. Bayesian Analyses of Binary Outcomes— State University ◆Chunrong Cheng, FDA; Tie-Hua Ng, FDA 11:15 a.m. Multi-Scale Spatial Inference of Pollutant 11:35 a.m. Bayesian Methods in Lot Release—◆Yunling Xu, Concentrations—◆Dawn Woodard, Cornell FDA; Boguang Zhen, FDA University 11:55 a.m. Bayesian vs. Frequentist Hypotheses Testing in 11:35 a.m. What Scientists Really Want to Know—◆Eric Vance, Clinical Trials with Dichotomous and Countable Virginia Polytechnic Institute and State University; Outcomes—◆Boris G. Zaslavsky, FDA Scotland Leman, Virginia Polytechnic Institute and State University; Leanna House, Virginia Polytechnic 12:15 p.m. Floor Discussion Institute and State University 11:55 a.m. Inverse Bayes—◆Golde I. Holtzman, Virginia Polytechnic Institute and State University 592 CC-144B 12:15 p.m. Floor Discussion Statistical Topics in the Study of Medical Devices—Topic-Contributed Biopharmaceutical Section 594 CC-204C Organizer(s): Heng Li, FDA ■ ✪ Modern Statistical Approaches to Chair(s): Heng Li, FDA Phylogenetics—Topic-Contributed Section on Bayesian Statistical Science 10:35 a.m. A Unified Approach in Data Analysis After Sample Organizer(s): Jennifer Tom, University of California, Los Angeles Size Is Increased in Adaptive Design Trial— Chair(s): Marc A. Suchard, University of California, Los Angeles ◆Yonghong Gao, FDA 10:55 a.m. Analysis of Gender Differences in a Medical Device Trial That Was Not Constructed for Gender 10:35 a.m. Bayesian Hierarchical Modeling Using an Iterative Comparisons—◆David C. Naftel, The University Reweighting Algorithm Within Gibbs: An Analysis of Alabama at Birmingham; Margaret T. Foushee, of Individual Posterior Distributions of Phylogenetic The University of Alabama at Birmingham; Susan L. Influenza Data—◆Jennifer Tom, University of Myers, The University of Alabama at Birmingham California, Los Angeles 11:15 a.m. Comparing Statistical Approaches in Analysis 10:55 a.m. Modeling Indel Hot Spots When Inferring of Clinical Trial Data with Patient Crossover— Alignments—◆Benjamin D. Redelings, North ◆Tailiang Xie, Brightech International Carolina State University 11:35 a.m. Demonstrating Treatment Effect Using a Bootstrap 11:15 a.m. Bayesian Estimation of Parameters Along a Simulation—◆Xiaolong Shih, Boston Scientific Species Phylogeny Subject to Hybridization and Corporation Coalescence—◆Chen Meng, Monsanto Company 11:55 a.m. Some Comments and Recommendations on Interim 11:35 a.m. Phyloclustering: New Phylogenetic Methods for Data Review of Data from Medical Device Studies— Inferring Population Structure—◆Karin S. Dorman, ◆Dennis W. King, STATKING Consulting, Inc. Iowa State University; Ranjan Maitra, Iowa State University; Wei-Chen Chen, Iowa State University 12:15 p.m. Floor Discussion 11:55 a.m. Assessing Selective Influence of Amino Acid Properties—◆Saheli Datta, University of California, Santa Cruz; Raquel Prado, University of California, Santa Cruz; Abel Rodriguez, University of California, 593 CC-204B Santa Cruz ■ ✪ Bayesian Philosophies and Practicalities— 12:15 p.m. Floor Discussion Topic-Contributed Section on Bayesian Statistical Science Organizer(s): Scotland Leman, Virginia Polytechnic Institute and State University

Chair(s): Gavino Puggioni, The University of North Carolina at Thursday Chapel Hill

10:35 a.m. An Application of Reification for a Rainfall-Runoff Computer Model—◆Leanna House, Virginia Polytechnic Institute and State University; Ian Vernon, University of Durham; Allan Seheult, University of Durham

Washington, DC 243 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

595 CC-203A Topic-Contributed Panels Inference in Nonstandard Problems—Topic- Contributed 10:30 a.m.–12:20 p.m. Section on Nonparametric Statistics Organizer(s): Bodhisattva Sen, Columbia University 597 CC-149A Chair(s): Bodhisattva Sen, Columbia University ■ What Can I Do with an Undergraduate Degree in Statistics?—Topic-Contributed 10:35 a.m. A Two-Stage Hybrid Procedure for Estimating ASA-MAA Joint Committee on Undergraduate Statistics, an Inverse Regression Function—◆Runlong Section on Statistics in Defense and National Security, Tang, University of Michigan; Moulinath Banerjee, Social Statistics Section University of Michigan; George Michailidis, Organizer(s): Robin H. Lock, St. Lawrence University University of Michigan Chair(s): Robin H. Lock, St. Lawrence University 10:55 a.m. Bootstrapping Lasso Estimators—◆Arindam Chatterjee, Texas A&M University Panelists: ◆Carol J. Blumberg, U.S. Department of Energy 11:15 a.m. Inference in Nonparametric Shape-Restricted ◆Deanna Egelston, National Security Agency Problems—◆Emilio Seijo, Columbia University ◆Brian Bot, Mayo Clinic 11:35 a.m. General Semiparametric Inference via Bootstrap Sampling—◆Guang Cheng, Purdue University 12:15 p.m. Floor Discussion 11:55 a.m. Disc: Bikramjit Das, Cornell University 12:15 p.m. Floor Discussion Contributed Sessions 10:30 a.m.–12:20 p.m. 596 CC-141 ■ ✪ Overview of Methods to Improve Quality in Petroleum Data—Topic-Contributed 598 CC-158A Section on Survey Research Methods Topics in Quality and Productivity—Contributed Section on Quality and Productivity Organizer(s): Paula Mason, Energy Information Administration Chair(s): James Knaub, Energy Information Administration Chair(s): William F. Guthrie, National Institute of Standards and Technology

10:35 a.m. The Changing Petroleum Marketing Industry as Viewed Through an Attribute Frame—◆Amerine 10:35 a.m. Virtual Prototyping in Marketing Research— ◆Norbert Wirth, MarketTools Frank Hedler, Woodyard, Energy Information Administration; ; Paula Mason, Energy Information Administration MarketTools; Dimitri Liakhovitski, MarketTools 10:55 a.m. Improvement of Data Quality Assurance in the 10:50 a.m. Estimating Tradeoff Exchange Rate in Conjoint EIA Weekly Gasoline Prices Survey—◆Bin Zhang, Analysis: An Application of Fieller’s Theorem— ◆Pallavi Chitturi, Temple University Ravi Chitturi, Energy Information Administration; Paula Mason, ; Lehigh University Damaraju Raghavarao, Temple Energy Information Administration; Amerine ; University Woodyard, Energy Information Administration; Benita O’Colmain, ICF Macro 11:05 a.m. Nonparametric Estimation in Ranked Set Sampling ◆Nader M. Gemayel, The 11:15 a.m. Improving the Edits in Petroleum Supply Surveys— with a Concomitant— Ohio State University Doug Wolfe, The Ohio ◆Jason D. Marley, SAIC; Paula Mason, Energy ; State University Elizabeth Stasny, The Ohio Information Administration; Julie Harris, Energy ; Information Administration State University 11:35 a.m. An Improved Imputation Methodology Derived 11:20 a.m. Adaptive Break Detection and Combining: Through Regression Trees—◆Pedro J. Saavedra, Application to Electricity Load Forecast— ◆Yannig Goude, EDF ICF Macro; Paula Mason, Energy Information Administration; Benita O’Colmain, ICF Macro; 11:35 a.m. Stochastic Production Line Model of Multiple Jeffrey Foarde, ICF Macro Workstations and Buffers with Continuous Materials ◆Mohammad Quasem, Howard University 11:55 a.m. Disc: Paula Mason, Energy Information Flow— Administration 11:50 a.m. Developing a Sampling Plan Based on Cpk—◆Itay Negrin, Ben Gurion University of the Negev Yisrael 12:15 p.m. Floor Discussion ; Parmet, Ben Gurion University of the Negev; Edna Schechtman, Ben Gurion University of the Negev

244 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

12:05 p.m. How to Be the Most Popular Statistician in Your 10:50 a.m. Multi-City Time Series Analyses of Air Pollution Company: Affordable Quality Approaches to and Mortality Data Using Generalized Geoadditive Guarantee Project Director and Client Satisfaction— Mixed Models—◆Lung-Chang Chien, The ◆Larry N. Campbell, RTI International; Victoria University of North Carolina at Chapel Hill; Shrikant Albright, RTI International Bangdiwala, The University of North Carolina at Chapel Hill; Jiu-Chiuan Chen, The University of North Carolina at Chapel Hill; Mark Weaver, Family Health International; Todd Schwartz, The University 599 CC-144A of North Carolina at Chapel Hill; John S. Preisser, The University of North Carolina at Chapel Hill ■ Issues Related to Surrogate Endpoints, Biomarkers, and Survival Analysis—Contributed 11:05 a.m. Joint Variable Selection of Fixed and Random Effects in a Linear Mixed-Effects Model and Its Biopharmaceutical Section Oracle Properties—◆Arun Krishna, North Carolina Chair(s): B. Christine Clark, ReSearch Pharmaceutical Services, Inc. State University; Howard D. Bondell, North Carolina State University; Sujit Ghosh, North Carolina 10:35 a.m. Adjustment for the Measurement Error in Evaluating State University Biomarkers—◆Wen Li, Iowa State University; 11:20 a.m. A Likelihood Approach to Pooled Prevalence Yongming Qu, Eli Lilly and Company Estimation with Random Effects—◆Chengxing Lu, 10:50 a.m. Efficiency Impact of Proportional Hazards CDC; Mikyong Shin, CDC; Adolfo Correa, CDC Assumption Violation—◆Amarjot Kaur, Merck & 11:35 a.m. A Two-Stage Estimation Method for Random Co., Inc.; Yabing Mai, FDA Coefficient Differential Equation Models with 11:05 a.m. Effect of Predictive Performance of a Biomarker Application to Longitudinal HIV Dynamic Data— for the Sample Size of Targeted Clinical Trials— ◆Yun Fang, East China Normal University; Hulin ◆Xiwu Lin, GlaxoSmithKline; Daniel Parks, Wu, University of Rochester; Li-Xing Zhu, Hong GlaxoSmithKline; Kwan R. Lee, GlaxoSmithKline Kong Baptist University 11:20 a.m. An Assessment of Several Trial-Level Surrogacy 11:50 a.m. GEMANOVA and Mixed Models—◆Heather M. Measures in the Meta-Analytical Framework of Bush, University of Kentucky; William S. Rayens, Evaluating Surrogate Endpoints in Clinical Trials— University of Kentucky ◆Qian Shi, Mayo Clinic; Daniel Sargent, Mayo Clinic 12:05 p.m. Longitudinal Analysis of Intraclass Correlation 11:35 a.m. Comparison of Vaccine Effects of LAIV and TIV Coefficients—Aiyi Liu, National Institute of on Pneumonia and Influenza-Related Medical Child Health and Human Development; Enrique Encounters—◆Jean A. Roayaei, National Institutes Schisterman, National Institutes of Health; of Health ◆Chunling Liu, The Eunice Kennedy Shriver National Institute of Child Health and Human Development 11:50 a.m. Statistical Application of Survival Analysis to Clinical Trials of Antiepileptic Drugs—◆Baldeo K. Taneja, Supernus Pharmaceuticals, Inc. 12:05 p.m. Floor Discussion 601 CC-208A Modeling Seasonal Data in Environmental Studies—Contributed 600 CC-159B Section on Statistics and the Environment ■ Mixed Effects Models in Modern Chair(s): Jenise Swall, U.S. Environmental Protection Agency Epidemiologic Studies—Contributed Section on Statistics in Epidemiology 10:35 a.m. Back-Fitting and Penalized Iteratively Reweighted Least Squares Algorithm in Generalized Additive Chair(s): Novie Younger, Tropical Medicine Research Institute, Models—◆Long H. Ngo, Beth Israel Deaconess Jamaica Medical Center/Harvard Medical School 10:50 a.m. Stochastic Modeling of Stream Flow Measurements 10:35 a.m. Modeling Menstrual Cycle Lengths at the Approach in the Mississippi and Missouri Rivers—◆Jonathan of Menopause Using Bayesian Change Point F. Joseph, The Ohio State University; Haikady N. Models—◆Xiaobi Huang, University of Michigan;

Nagaraja, The Ohio State University Thursday Michael Elliott, University of Michigan 11:05 a.m. Modeling Seasonal Effects in Radon Emissions Data—◆Órlaith Burke, University College Dublin; Stephanie Long, Radiological Protection Institute of Ireland; Patrick Murphy, University College Dublin; Catherine Organo, Radiological Protection Institute of Ireland; David Fenton, Radiological Protection Institute of Ireland

Washington, DC 245 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:20 a.m. Statistical Analysis of Trend and Change Point in 603 CC-143B ◆ Vegetation— Nicolle Goble, Virginia Polytechnic ■ ✪ Institute and State University; Dong-Yun Kim, Censoring and Selection in Regression— Virginia Polytechnic Institute and State University; Contributed Matthew Williams, Virginia Polytechnic Institute Section on Risk Analysis and State University Chair(s): Jeremy R. Porter, Rice University 11:35 a.m. An MDL Approach to the Climate Segmentation Problem—◆QiQi Lu, Mississippi State University 10:35 a.m. A Proportional Hazards Regression Model for the 11:50 a.m. Testing for Changepoint in Time Series: A Subdistribution with Right-Censored and Left- Comparative Study—◆Jennifer Kensler, Truncated Competing Risks Data—◆Xu Zhang, Virginia Polytechnic Institute and State Georgia State University; Mei-Jie Zhang, Medical University; Dong-Yun Kim, Virginia College of Wisconsin; Jason Fine, The University of Polytechnic Institute and State University North Carolina at Chapel Hill 12:05 p.m. Floor Discussion 10:50 a.m. Quantile Regression with Left-Truncated Semi- Competing Risks Data—◆Ruosha Li, Emory University; Limin Peng, Emory University 11:05 a.m. Variable Selection in Partial Linear Cox Model— 602 CC-210 ◆Pang Du, Virginia Polytechnic Institute and Resampling and Random Number Generation— State University; Shuangge Ma, Yale University; Contributed Hua Liang, University of Rochester Section on Statistical Computing, Interface Foundation of 11:20 a.m. Statistical Estimation for Generalized Exponential North America Distribution Under Progressive Type I Interval Censoring—◆Din Chen, South Dakota State Chair(s): Elizabeth L. Hohman, Naval Surface Warfare Center University; Yuhlong Lio, University of South Dakota 11:35 a.m. Empirical Variance Estimation of the Buckley-James 10:35 a.m. An Accept-Reject Algorithm for the Positive Estimator Under Continuous Assumptions— Multivariate Normal Distribution—◆Carsten H. ◆Yishi Wang, The University of North Carolina at Botts, Williams College Wilmington; Cuixian Chen, The University of North 10:50 a.m. Generating Bounded Accuracy Continuous Uniform Carolina at Wilmington Variates—◆Timothy G. Hall, PQI Consulting 11:50 a.m. Analysis of Interval-Censored Data with Informative 11:05 a.m. Parallel Multivariate Slice Sampling—◆Matthew M. Cluster Size—◆Xinyan Zhang, University of Tibbits, Penn State University; Murali Haran, Missouri; Jianguo Sun, University of Missouri Penn State University; John C. Liechty, Penn 12:05 p.m. Floor Discussion State University 11:20 a.m. Another Look at the Bootstrap: Resampling with Random Noises—◆Haiyan Bai, University of Central Florida 604 CC-157 11:35 a.m. Spatial Bootstrap Method Using Pairs of Equidistant Reliability and Other Topics—Contributed Points—◆Jose H. Guardiola, Texas A&M University; Section on Quality and Productivity, Section on Physical and Hassan Elsalloukh, University of Arkansas at Engineering Sciences Little Rock Chair(s): Kevin S. Robinson, Millersville University of Pennsylvania 11:50 a.m. A Sieve Bootstrap Approach to Constructing Prediction Intervals for Long Memory Time Series— ◆Amjad Ali, University of Peshawar; Xiaofeng 10:35 a.m. Waiting Time in the Sequential Occupancy Shao, University of Illinois at Urbana-Champaign; Problem—◆Tamar Gadrich, Ort Braude College; Salahuddin Khan, University of Peshawar Rachel Ravid, Ort Braude College 12:05 p.m. Resampling Methods for Queue Inference—◆Harry 10:50 a.m. Functional Regression Using the ‘fda’ Package Ma, GE Global Research; Thomas Willemain, in R—◆Spencer Graves, Productive Systems Rensselaer Polytechnic Institute Engineering; Giles Hooker, Cornell University ; James O. Ramsay, McGill University 11:05 a.m. The Beta-Exponential Distribution: An Alternative to the Weibull Distribution—◆Jacinth A. Maynard, Lok Haven University of Pennsylvania 11:20 a.m. Bootstrap Integration of Multiple Measurement Sources with Applications to Inference on Extremes—◆Russell L. Zaretzki, The University of Tennessee

246 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

11:35 a.m. Optimal Goodness-of-Fit Tests for Recurrent Event 11:50 a.m. Time-Dependent ROC Methods and Concordance Data—◆Russell Stocker, Mississippi State University Measures—◆Norberto Pantoja-Galicia, Harvard 11:50 a.m. Floor Discussion School of Public Health; Rebecca Betensky, Harvard School of Public Health 12:05 p.m. A Class of Generalized Nonparametric ROC Summary Statistics for Clustered Diagnostic Marker 605 CC-203B Data—◆Liansheng Tang, George Mason University Dimension Reduction—Contributed Section on Nonparametric Statistics Chair(s): Michael Longnecker, Texas A&M University 607 CC-153 FDR and Classification—Contributed 10:35 a.m. Sufficient Dimension Reduction for Proportional Biometrics Section Censorship Model with Covariates—◆Meggie Wen, Chair(s): Renee Moore, University of Pennsylvania Missouri University of Science and Technology 10:50 a.m. Optimal Dimension Reduction Based on Central Solution Space—◆Yuexiao Dong, Penn State 10:35 a.m. Adjusting for Matched Samples in Discriminant University; Bing Li, Penn State University Analysis of Schizophrenia Biomarkers for Post- Mortem Tissue Studies—◆Josephine Asafu-Adjei, 11:05 a.m. Asymptotic Expansions for Dimension Reduction University of Pittsburgh; Allan Sampson, University Methods with Application to Bias Correction— of Pittsburgh; Robert Sweet, University of Pittsburgh ◆Zhou Yu, East China Normal University; Bing Li, Penn State University; Li-Xing Zhu, Hong Kong 10:50 a.m. Novel Estimators of the Number of True—Yi-Ting Baptist University Hwang, National Taipei University; Shu-Yu Liao, National Taipei University; ◆Hsun-Chih Kuo, 11:20 a.m. Sufficient Dimension Reduction for the Conditional National Chengchi University Mean with a Categorical Predictor in Multivariate Regression—◆Jae Keun Yoo, University of Louisville 11:05 a.m. Optimal Nearest Shrunken Centroids Method for High-Dimensional Classification—◆Tiejun 11:35 a.m. Sliced Inverse Regression in a Hilbert Space via Tong, University of Colorado; Herbert Pang, Basis Approch—◆Haobo Ren, sanofi-aventis; Cathy Duke University Zhao, Bristol-Myers Squibb Company 11:20 a.m. A General Framework for Multiple Testing 11:50 a.m. Over-Fitting Effects of Trimming and Statistical Dependence—◆Jeffrey Leek, Johns Hopkins Applications—◆Eustasio del Barrio, Universidad University; John Storey, Princeton University de Valladolid 11:35 a.m. Estimating the Cumulative Risk of a False-Positive 12:05 p.m. Floor Discussion Test in a Repeated Screening Program with Multiple Modalities—◆Jian-Lun Xu, National Cancer Institute; Richard M. Fagerstrom, National Cancer Institute; Philip C. Prorok, National Cancer Institute; 606 CC-160 Barnett S. Kramer, Office of Disease Prevention ROC Analysis—Contributed 11:50 a.m. Classification Analysis with a Twist: Identification Biometrics Section of the Writership of Handwritten Documents Chair(s): Chengcheng Liu, Merck & Co., Inc. by Pairwise Application of Linear Discriminant Analysis—◆John J. Miller, George Mason University; Amanda B. Hepler, George Mason 10:35 a.m. Semiparametric Inference for the Partial Area Under University; Donald T. Gantz, George Mason the ROC Curve—◆Gengsheng Qin, Georgia University; Daniel B. Carr, George Mason University; State University Clifton Sutton, George Mason University; Robert 10:50 a.m. Using Relative Utility Curves to Evaluate Risk Patterson, George Mason University Prediction—◆Stuart Baker, National Cancer Institute 12:05 p.m. Pairwise Likelihood for Binary Data—◆Zi Jin, 11:05 a.m. Nonparametric Estimation of Time-Dependent University of Toronto; Nancy Reid, University Predictive Accuracy Curve—◆Paramita Saha, of Toronto University of Washington; Patrick Heagerty,

University of Washington Thursday 11:20 a.m. Nonparametric Empirical Likelihood Estimation of AUC and Partial AUC for Test-Result-Dependent Sampling Study—◆Ma Junling, Duke University Medical Center; Wang Xiaofei, Duke University Medical Center 11:35 a.m. Nonparametric Comparison of Multiple ROCs Using Polar Coordinates—◆Michael E. Schuckers, St. Lawrence University Washington, DC 247 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

608 CC-208B 11:20 a.m. A Semiparametric Unified Approach for the Detection of Differential Gene Expression in Miscellaneous Methodology III—Contributed Microarrays—◆Jan R. De Neve, Ghent University; IMS Olivier Thas, Ghent University; Lieven Clement, Chair(s): Anindya Bhadra, University of Michigan Ghent University; Jean-Pierre Ottoy, Ghent University 10:35 a.m. Change-Point Analysis for Stochastic Systems 11:35 a.m. Multiple Imputation for Microarray Missing Data— with Poisson Inputs—◆Stergios B. Fotopoulos, ◆Hui Xie, Tulane University; Leann Myers, Tulane Washington State University University; Steven Smith, Pennington Biomedical 10:50 a.m. Testing for a Changepoint in the Linear Hazard Rate Research Center Under Staggered Entry and Type I Censoring— 11:50 a.m. MDQC: A New Quality Assessment Method ◆Matthew Williams, Virginia Polytechnic Institute for Microarrays—◆Gabriela Cohen Freue, and State University; Dong-Yun Kim, Virginia The University of British Columbia; Zsuzsanna Polytechnic Institute and State University Hollander, The James Hogg iCAPTURE Centre for 11:05 a.m. An Asymptotic Test for a Changepoint in Densities Cardiovascular & Pulmonary Research; Raymond Ng, of a General Class—◆Dong-Yun Kim, Virginia The University of British Columbia; Robert Balshaw, Polytechnic Institute and State University The University of British Columbia 11:20 a.m. On a Unified Approach for Phase I Shewhart-Type 12:05 p.m. Inverse Probability of Censoring Weighting Control Charts for Location—◆Schalk W. Human, and Regularized Estimation in AFT Models— ◆ University of Pretoria; Subhabrata Chakraborti, The Mai Zhou, University of Kentucky; Liping University of Alabama Huang, University of Kentucky 11:35 a.m. Decentralized Sequential Hypothesis Testing— ◆Georgios Fellouris, Columbia University; George V. Moustakides, University of Patras 610 CC-158B 11:50 a.m. Statistical Fundamentals for Rebuilding the Methodology of Piecewise Analysis—◆Ligong Default, Multivariate Risk, and Copula Models— Chen, Uniformed Services University of the Health Contributed Sciences; Yongmei Chen, Uniformed Services Business and Economic Statistics Section University of the Health Science Chair(s): Zhaogang Song, Cornell University 12:05 p.m. Assessing the Influence of Individual Treatment Effect Variability in Multiple Time Points Trials for 10:35 a.m. Building Default Models for Subprime Mortgages: Binary Response—◆Edwin A. Ndum, Kansas State Assessing the Risk in a Rapidly Changing University; Gary L. Gadbury, Kansas State University Environment—◆Vladimir Ladyzhets, Babson Capital Management LLC 10:50 a.m. The Time of Recovery and Ruin Probabilities in Risk Model—◆Min Deng, Maryville University of St. Louis 609 CC-148 11:05 a.m. Contagion, Confusion, and the Panic of Missing Data and Microarray Analysis— 2008—◆David J. Hamrick, Boston University Contributed 11:20 a.m. Modeling Currency Exchange Rate Dependency Biometrics Section Between Taiwan and Japan—◆Yi-Kuan Jong, Chair(s): Yichuan Zhao, Georgia State University St. John’s University 11:35 a.m. Tracking Problems, Hedge Fund Replication, and 10:35 a.m. Inferring the True Correlation in Cross-Species Alternative Beta—◆Guillaume Weisang, Bentley Microarray Data—George C. Tseng, University of University; Thierry Roncalli, University of Evry Pittsburgh; ◆Xingbin Wang, University of Pittsburgh; 11:50 a.m. Border Region Municipal Water Consumption Sunghee Oh, University of Pittsburgh Forecast Accuracy—◆Angel L. Molina, Jr., The 10:50 a.m. Modeling Cancer-Related Epigenetic Changes University of Texas at El Paso; Thomas M. Fullerton, in DNA Tandem Repeats—◆Michelle Lacey, Jr., The University of Texas at El Paso Tulane University 12:05 p.m. Multivariate Mixture Transition Distribution Model 11:05 a.m. Effects of Missing Value Imputation on Down- for Financial Transaction Data—◆Musen Wen, Stream Analyses in the Microarray Data—◆Sunghee University of California, Riverside; Keh-Shin Lii, Oh, University of Pittsburgh; George C. Tseng, University of California, Riverside University of Pittsburgh; Guy N. Brock, University of Louisville

248 JSM 2009 GENERAL PROGRAM SCHEDULE J Themed Session n Applied Session ◆ Presenter CC-Walter E. Washington Convention Center RH-Renaissance Washington, DC, Hotel

611 CC-205 ■ Bayesian Modeling with Applications to Climate, Air Pollution, the Environment, and Flu Dynamics—Contributed Section on Bayesian Statistical Science, Section on Statistics and the Environment Chair(s): Sudipto Banerjee, The University of Minnesota

10:35 a.m. Using 2D Wavelets to Blend Grid- and Point- Based Air Quality Model Output with Ambient Monitor Observations: Resolving the Intra-Urban Air Pollution Field—◆James L. Crooks, U.S. Environmental Protection Agency; Vlad Isakov, U.S. Environmental Protection Agency 10:50 a.m. Bayesian Modeling of Wind Fields Using Surface Data Collected Over Land—◆Margaret Short, University of Alaska Fairbanks; Javier Fochesatto, Geophysical Institute Atmospheric Science Group 11:05 a.m. Data Augmentation Methods for Bayesian Modeling of Spatially Dependent Categorical Data—◆Candace Berrett, The Ohio State University; Catherine Calder, The Ohio State University 11:20 a.m. The Variational Bayes Method for an Inverse Problem with Application to the Palaeoclimate Reconstruction—◆Richa Vatsa, Trinity College Dublin 11:35 a.m. Estimation of a Population Size Through Capture- Mark-Recapture Method: A Comparison of Various Point and Interval Estimators—◆Xing Yang, University of Louisiana-Lafayette 11:50 a.m. Bayesian Sensitivity Analysis—◆Yeonok Lee, The University of Rochester; Hulin Wu, University of Rochester 12:05 p.m. Assessing and Accounting for Large-Scale Climate Projection Uncertainty in Regional Climate-Change Impact Studies—◆Gardar Johannesson, Lawrence Livermore National Laboratory Thursday

Washington, DC 249 Index of Participants Name Session Name Session Name Session Aban, Inmaculada...... 380 Aleong, John...... 121, 274 Andridge, Rebecca...... 409, 436 Abdel-Salam, Abdel-Salam G...... 368 Alexander, Trent...... 309 Angle, John...... 326 Abdulnabi, Radhi F...... 236 Alexandrov, Theodore...... 205, 510 Anisimov, Vladimir V...... 102 Abowd, John M...... 90, 193, 588 Alf, Cherie J...... 216 Annis, David H...... 428 Abramson, Erika...... 75 Alfaro, Maria C...... 307 Ansell, Peter...... 460 Abreu, Denise A...... 365 Ali, Amjad...... 319, 602 Apanasovich, Tatiyana V...... 117, 366 Abry, Patrice...... 120 Alkahtani, Saad...... 381, 434 Applebaum, Maggie...... 39 Acar, Elif F...... 369 Al-Khalidi, Hussein...... 233 Arab, Ali...... 410, 497 Aceves-Castro, Aida Nohemi...... 478 Allen, Andrew...... 406 Araki, Yuko...... 440 Acharyya, Suddhasatta...... 566 Allen, Elaine...... 133, 210 Archer, Kellie J...... 379, 382 Acosta, Alisa...... 440 Allen, Theodore...... 127, 226, 233 Arcos, Antonio...... 317 Acosta, Javier...... 570 Allenby, Greg...... 41 Arcury, Thomas A...... 257 Adams, John L...... 226 Allison, David B...... 268, 291 Argyropoulos, Christos...... 213 Adams, Tamara S...... 114 Allison, Paul D...... CE_20C Armstrong, Brian...... 111 Adeleke, Ismaila...... 130, 284 Allison, Robert...... 227 Armstrong, Paul W...... 468 Adewale, Adeniyi J...... 280 Alloway, James A...... 283 Arnab, Raghunath...... 317 Adhikari, Ani...... 403 Almirall, Daniel...... 263 Arnold, Forest W...... 476 Aerts, Marc...... 171, 380 Almudevar, Anthony...... 132 Arnold, Gerald K...... 285 Afshartous, David...... 525 Alnoshan, Abdullah A...... 270, 553 Arnsberger, Paul...... 39 Agans, Robert...... 347 Alosh, Mohamed...... 149, 224 Arora, Vipin...... 175, 412 Agboto, Vincent...... 525 Alpert, William...... 352 Arroway, Pam...... 22, 107, 408 Ahani, Edesiri...... 284 Alpu, Ozlem...... 424 Artemiou, Andreas A...... 380 Ahkong, James...... 571 Alston, Clair L...... 132 Aryal, Gokarna R...... 66 Ahmad, Rehan...... 469 Althouse, Sandra...... 163 Asafu-Adjei, Josephine...... 607 Ahmed, Ejaz S...... 130 Altman, Barbara M...... 284 Aseltine, Rob...... 14 Ahmed, Shirin A...... 206 Altman, Naomi S...... 431, 474 Asgharian, Masoud...... 217, 561 Ahn, Chul H...... 204, 280 Altstein, Lily...... 529 Asher, Jana...... 317, 404, 496 Ahn, Chul W...... 162, 380 Alumkal, Joshi...... 322 Asiala, Mark E...... 155 Ahn, Hong-Yup...... 99 Alvarez, Joel A...... 207 Asparouhov, Ognian K...... 238 Ahn, Jaeil...... 100 Alzola, Carlos...... 285 Assaid, Christopher...... 377 Ahn, Jeongyoun...... 215 Amaratunga, Dhammika...... 379 Aston, John...... 52 Ahner, Darryl...... 590 Ambrosius, Walter...... 335, 486 Aten, Bettina H...... 550 Ahsanullah, Mohammad...... 549 Amer, Safaa R...... 496 Atenafu, Eshetu G...... 287 Ai, Mingyao...... 214 Amidan, Brett...... 313 Athey, Leslie...... 71 Aiken, Juliet...... 293 Amit, Ohad...... 1, 476 Atkinson, Anthony...... 306, CE_15C Aizawa, Kyo...... 547 Ammann, Caspar...... 203, 366 Atlas, Mourad...... 433, 575 Akman, Olcay...... 563 Amorim, Leila D...... 440 Attanasi, Emil D...... 383 Aktekin, Tevfik...... 202 An, Anthony ...... CE_40T Au, Margaret A...... 78 Albatineh, Ahmed N...... 215 An, Lingling...... 474 Au, Siu-Tong...... 70 Albert, James...... 37, CE_25C Anand, Monica...... 283 Au, Timothy...... 436 Albert, Jeffrey M...... 568 Ancona Nunnery, Joni...... 563 Aukema, Brian...... 380 Albert, Paul S...... 64 Andersen, Ove...... 111 Austin, Bruce...... 284 Albrecht, Conan...... 521 Andersen, Robyn...... 158 Austin, Matthew...... 45 Albrecht, Steve...... 521 Anderson, Christopher J...... 410 Austin, Peter...... 343 Albright, Alan...... 69 Anderson, Gregory J...... 105 Auten, Gerald...... 106 Albright, Keith A...... 155 Anderson, Keaven...... 27, 162, 163, 429, Avila, Rosa...... 579 Albright, Victoria...... 598 CE_28C Aviles, Ivelisse...... 514 Al-Delaimy, Wael...... 561 Anderson, Mark...... 460 Avorn, Jerry...... 20 Alderman, Jerry L...... 58 Anderson, Steven A...... 73, 430 Axinn, William...... 6 Aldor-Noiman, Sivan...... 432 Anderson, Stewart...... 433 Ayers, Elizabeth...... 215 Aldrich, Eric M...... 570 Anderson-Cook, Christine...... 228, 313 Ayyala, Deepak...... 564 Aldworth, Jeremy...... 258 Ando, Yuki...... 547 Bacanu, Silviu...... 359 Alegria, Margarita...... 46 Andres, Craig D...... 519 Baccini, Michela...... 427 Alejandro, Jorge A...... 364 Andrew, Michael E...... 124, 440 Bacon, Lynd D...... 364 Aleong, Chandra...... 274 Andrews, Patricia L...... 532 Bader, Nicole...... 461

250 JSM 2009 Index of Participants Name Session Name Session Name Session Baek, Changryong...... 120 Barnes, Christopher N...... 123, 233 Benedetto, Gary...... 14, 588 Baesens, Bart...... 507 Barnes, Sunni A...... 476 Ben-Eliyahu, Shamgar...... 433 Baghi, Heibatollah...... 285 Barnett, William A...... 578 Benigni, Matthew...... 590 Bahn, Gideon D...... 65 Barnhart, Huiman...... 222 Bennett, Sean...... 418 Bai, Haiyan...... 275, 602 Barreto, Mauricio L...... 440 Bentley, Donald L...... 97 Bai, Heather...... 307 Barrett, Bruce...... 522 Bentley, Jim...... 169 Bailar, Barbara A...... 97 Barrington, Francine...... 284 Bentley, Michael...... 114 Bailer, A. John...... 69, 410 Barron, Martin...... 421 Berenson, Mark...... 161 Bailey, Barbara...... 549 Barrón, Yolanda...... 75 Berg, Emily...... 327 Bailey, Mark...... 282 Bartee, Stephanie...... 355 Berger, Dale...... 181 Bain, Ray...... 377 Barth, Joseph...... 479, 571 Berger, James...... 346, 544 Baines, Paul D...... 274 Bartolucci, Francesco...... 518 Berger, Martijn...... 222, 472 Baiocchi, Michael...... 433 Bartz, Kevin...... 130 Berger, Theodore W...... 171 Bair, Eric...... 250 Baskin, Robert M...... 60 Bergeron, Pierre-Jerome...... 561 Bakal, Jeffrey A...... 468 Basu, Sanjib...... 407 Berliner, L. Mark...... 218 Baker, Frederick A...... 132 Batcher, Mary...... 459 Berliner, Mark...... 405 Baker, Stuart...... 606 Bates, Douglas M...... 537 Bernshteyn, Mikhail...... 127, 226 Bakir, Saad T...... 320 Bates, Nancy...... 6, 206, 388 Bero, Joseph...... 307 Baladandayuthapani, Veera...... 62, 350, 374 Bathke, Arne C...... 220, 320 Berrett, Candace...... 61, 611 Balaji, Srinivasan...... 66 Batorova, Ivana...... 67 Berrocal, Veronica J...... 274 Balakrishnan, Narayanaswamy...... 120, 586 Battaglia, Michael P...... 454 Berry, Donald A...... 25, 294 Balasubramanyam, Aarthi...... 419 Battista, Victoria...... 165 Berry, John...... 294 Balderama, Earvin...... 117 Bauer, Karin M...... 508 Berry, Scott...... 559 Baldi, Pierre...... 449 Baughman, Andrew L...... 440 Bertz, Frank...... 36 Baldwin, Jamie M...... 222 Baumer, Benjamin S...... 443 Bérubé, Joana...... 129 Balko, Stephanie U...... 230, 440 Bautista, Dianne...... 61 Betensky, Rebecca..... 45, 115, 350, 377, 606 Ball, Patrick...... 585 Bautista, Oliver M...... 324 Beunckens, Caroline...... 136 Balluz, Lina...... 284 Bayarri, Susie...... 544 Beutels, Philippe...... 380 Balogh, Marilyn...... 71 Beaghen, Michael...... 155 Beverlin, Lucas...... 423, 568 Balshaw, Robert...... 609 Becker, Patty...... 156 Beyene, Joseph...... 211, 287, 378 Balta, Emre...... 392 Becker, Stan...... 284 Beyene, Negasi T...... 168 Bamberger, Judith...... 313 Bedrick, Edward...... 73 Beyler, Nicholas K...... 365 Bandeen-Roche, Karen...... 111, 158, 568 Beer, Elizabeth A...... 219 Bhadra, Anindya...... 527, 608 Bandyopadhyay, Antar...... 279 Begg, Colin B...... 168, 340 Bhadra, Dhiman...... 323 Bandyopadhyay, Dipankar...... 322, 511, 535, Begley, Sharon...... 253 Bhat, K. Sham...... 61 542 Begum, Munni...... 73 Bhattacharjee, Debanjan...... 66 Bandyopadhyay, Soutir...... 369 Behbod, Fariba...... 111 Bhattacharjee, Samsiddhi...... 91, 470 Banerjee, Anurag N...... 279 Behseta, Sam...... 457 Bhaumik, Dulal K...... 315 Banerjee, Moulinath...... 93, 542, 595 Bejleri, Valbona...... 410 Bialek, Carl...... 253 Banerjee, Mousumi...... 445 Bekele, Benjamin N...... 552 Bianconcini, Silvia...... 205, 444 Banerjee, Pranab K...... 517 Belanger, Kathleen...... 422 Bichutskiy, Vadim Y...... 283 Banerjee, Sudipto...... 105, 137, 278, 611, Belin, Thomas R...... 285, 504 Bieber, Thomas...... 111 CE_12C Belitser, Eduard...... 77 Biek, Roman...... 292 Bangdiwala, Shrikant...... 600 Bell, Bethany A...... 284 Bienias, Julia L...... 5 Banks, David...... 40, 397, 498, 500 Bell, Cynthia...... 440 Bigelow, Carol...... 195, 390, 450 Bansal, Aasthaa...... 217 Bell, Michelle L...... 49, 422, 448 Biggeri, Luigi...... 38 Bao, Le...... 76, 233 Bell, Richard...... 563 Bild, Andrea...... 379 Baraniuk, Sarah M...... 380 Bell, William R...... 246, 327 Bilder, Christopher R...... 380 Barber, Jarrett...... 35, 366, 524 Bellamy, Scarlett L...... 526 Bilisoly, Roger...... 110, 367 Barboza, Wendy...... 33 Belloni, Alexandre...... 113 Billor, Nedret...... 318 Barcellan, Roberto...... 48 Belmonte, Cynthia...... 39 Bin, Yao...... 233 Barker, Clayton A...... 467 Beltangady, Mohan...... 256 Binder, David...... 216 Barker, Richard...... 218 Ben-Ameur, Hatem...... 166 Bingham, Derek...... 59, 348 Barkhamer, John...... 355 Bender, Randall...... 472 Bini, Matilde...... 38, 326 Barnard, John...... 536 Bendjilali, Nasrine...... 113 Birch, Jeffrey B...... 368

Washington, DC 251 Index of Participants Name Session Name Session Name Session Bishwal, Jaya...... 462 Bowers, Jake...... 260 Bull, Shelley B...... 543 Biswas, Bipasa...... 160 Bowman, DuBois...... 341 Bura, Efstathia...... 57 Biswas, Swati...... 520 Boyd, Adam...... 8 Burchfiel, Cecil...... 124 Bizier, Valerie...... 99 Bozdogan, Hamparsum...... 202 Burd, Randall...... 37 Bjelland, Melissa...... 14 Bracken, Michael B...... 422 Burgard, Jan P...... 248 Bjursell, Carl J...... 130 Bradburn, Norman M...... 345 Burger, Erika...... 461 Blacker, Deborah L...... 377 Bradlow, Eric T...... 302 Burgette, Lane...... 100 Blackhall, Lachlan...... 163 Braga, Daniela M...... 233 Burke, Órlaith...... 601 Blair, Ed...... 376 Bramer, Lisa...... 274 Burkom, Howard...... 590 Blair, Edward...... 140 Brammer, Lynnette...... 34 Burks, Robert...... 590 Blakely, Christopher...... 510 Braun, Michael...... 364 Burman, Prabir...... 250 Blank, Rebecca M...... 208, 234 Brave, Michael...... 493 Burn, Nicholas...... 418 Blankenship, Erin...... 290 Braverman, Amy...... 170, 405 Burnett, Richard T...... 422 Blanton, Lenee...... 34 Bray, Jeremy W...... 417, 425 Bursac, Zoran...... 380 Blattenberger, Gail...... 105 Breheny, Patrick...... 170, 564 Burt, Vicki L...... 124, 579 Blevins, David...... 133 Breidt, Jay...... 185, 573 Bush, Heather M...... 600 Bliznyuk, Nikolay...... 164 Bremer, John...... 317, 477 Bushery, John M...... 384 Block, Robert M...... 69 Brener, Nancy D...... 19 Bushnell, William D...... 1 Blood, Emily A...... 222 Brenneman, William A...... 368 Bustamante, Carlos...... 28 Bloomquist, Erik W...... 311 Bresee, Joseph...... 34 Butani, Shail J...... 546, 554 Blower, Paul...... 538 Bretz, Frank...... 27, 56, 252, 354, CE_16C Butar Butar, Ferry...... 283 Blumberg, Carol J...... 597 Brick, J. Michael...... 409 Byun, David E...... 130 Blumerman, Lisa.81, 178, 237, 332, 388, 483 Brick, Michael J...... 33, 365, 420, 421, 454 Caan, Bette...... 561 Bobadilla, Gladys...... 77 Brickner, Carlin...... 285 Cabrera, Javier...... 379 Bobb, Veronica...... 230 Bridges, William C...... 286 Caffo, Brian S...... 233, 356 Boca, Simina...... 340 Briers, Mark...... 308 Cai, Bo...... 105 Bodner, Todd...... 285 Brijs, Tom...... 269 Cai, Jianwen...... 64, 426, 440 Boehringer, Stefan...... 473 Brinkley, Jason...... 518 Cai, Tianxi...... 158, 191, 277 Boero, Jaime...... 353 Briollais, Laurent...... 225 Cai, Tony...... 147 Bogacka, Barbara...... 306 Brnabic, Alan...... 263 Cai, Xueya...... 285 Bognar, Matthew...... 462 Brock, Guy N...... 476, 609 Cai, Yuzhi...... 515 Bokenkroger, Courtney...... 508 Brogan, Donna J...... 257 Calabrese, Raffaella...... 477 Bolognese, James A...... 27, 446 Brookhart, M. Alan...... 20, 76, 233 Calder, Catherine...... 61, 469, 611 Bonatz, David...... 255 Brookmeyer, Ron...... 380 Callaghan, John...... 438 Bond, Marjorie E...... 239, 283 Brorsen, Wade...... 162 Callegaro, Mario...... 273, 284, 512 Bondell, Howard D...... 163, 215, 348, 600 Brown, Elizabeth R...... 525 Calvin, James A...... 166 Bonfrer, Andre...... 364 Brown, G. Gordon...... 257, 472 Cameron, Ken...... 590 Boon, Jacob...... 228 Brown, Gary...... 104, 129 Campbell, David...... 157 Boone, Edward L...... 73 Brown, Gerald G...... 397 Campbell, Larry N...... 598 Boone, Tasha...... 394 Brown, Irene...... 71, 519 Campbell, Richard...... 69 Boos, Dennis D...... 494 Brown, Lawrence D...... 345, 403 Cançado, Andre L.F...... 398 Booth, Brad...... 420 Bruggemann, Rainer...... 398 Candace, Metoyer N...... 250 Borenstein, Michael ...... CE_33T Brumback, Babette...... 518 Cano, Stephanie...... 242, 288 Bornkamp, Bjoern...... 56, 354 Brumback, Lyndia C...... 371 Cantwell, Patrick J...... 394 Boruch, Robert...... 127 Bryan, Jennifer...... 286 Cao, Hongyuan...... 79 Boscardin, John...... 427 Bryant, Victoria...... 106 Cao, Jia...... 171 Bosch, Olav T...... 4 Brynjarsdottir, Jenny...... 218 Cao, Jiguo...... 157 Bose, Jonaki...... 258, 513 Buccellato, Tullio...... 104 Cao, Jin...... 521 Bosworth, Barry...... 187, 328 Buchanan, Mark...... 294 Cao, Jing...... 506 Bot, Brian...... 597 Buckley, David...... 75 Cao, Jun...... 320 Botts, Carsten H...... 602 Buckley, Jack...... 588 Cao, Xu...... 130 Bouhaddioui, Chafik...... 212 Budtz-J¯rgensen, Esben...... 74, 111 Cao, Xumeng...... 228 Bou-Hamad, Imad...... 166 Büttner, Thomas...... 173 Cao, Yue...... 171 Bourque, Louise...... 349 Buhlmann, Peter...... 11 Capanu, Marinela...... 168 Bowen, James...... 440 Bulger, David...... 562 Cappelleri, Joseph C...... 75, 210

252 JSM 2009 Index of Participants Name Session Name Session Name Session Caragea, Petrutza...... 85, 240, 274, 391 Chandhok, Promod...... 265, 508 Chen, Jinsong...... 278 Cardinal-Stakenas, Adam...... 36, 270 Chandran, Raj...... 531 Chen, Jiu-Chiuan...... 600 Carew, John D...... 356 Chang, Howard...... 259 Chen, John...... 432 Carey, Siobhan...... 12 Chang, Joseph T...... 428 Chen, Joshua...... 27 Carlin, Brad...... 17 Chang, Myron N...... 78 Chen, Liang...... 528 Carlson, Barbara L...... 273 Chang, Sheng-Mao...... 527 Chen, Ligong...... 608 Carlson, Lynda T...... 345 Chang, Yu-Ling...... 123, 211, 325 Chen, Lin-An...... 572 Carlson, Richard W...... 299 Chapin, Patrick S...... 58 Chen, Ling...... 377 Carlsson, Martin O...... 233 Chapman, Jessica...... 228 Chen, Linlin...... 417 Carlyle, Matthew...... 397 Charles, Beasley...... 325 Chen, Lisa...... 125 Carnegie, Nicole B...... 34 Charles, Luenda E...... 124, 440 Chen, Ming-Hui...... 105, 259 Carone, Marco...... 217 Charnigo, Richard...... 120, 220 Chen, Peng...... 380 Carr, Daniel B...... 539, 607 Chatterjee, Ansu...... 248 Chen, Qingxia...... 249 Carriquiry, Alicia L...... 365, 459 Chatterjee, Arindam...... 595 Chen, Qixuan...... 357 Carris, Kari...... 421 Chatterjee, Nilanjan...... 91, 411 Chen, Ray-Bing...... 21 Carroll, Margaret D...... 237 Chatterjee, Snigdhansu...... 52, 248, 471 Chen, Rong...... 298, 541 Carroll, Raymond J.... 87, 145, 371, 411, 442, Chattopadhyay, Somesh...... 172 Chen, Rui...... 28, 419, 545 511, CE_09C Chaubey, Yogendra P...... 524 Chen, Shun-Yi...... 119 Carson, Charles M...... 165 Chaudhuri, Sanjay...... 279 Chen, Song Xi...... 376, 431, 541 Carter, Christopher K...... 37 Chaudhuri, Saraswata...... 212 Chen, Tai-Tsang...... 233 Carter, H. Ballentine...... 440 Chauhan, Chand...... 119 Chen, Te-Ching...... 124 Carter, Patricia H...... 517 Chauvet, Guillaume...... 573 Chen, Ting-Li...... 215 Carter, Randy L...... 25, 437 Chauvet, Marcelle...... 63, 578 Chen, Tower...... 367 Carter, Rickey E...... 439 Chaves, Paulo H...... 158 Chen, Wei...... 233, 552 Caruso, Anthony...... 71 Cheah, Wai Hsien...... 127 Chen, Wei...... 552 Caruso, Guy F...... 300 Chellini, Paula R...... 233 Chen, Wei-Chen...... 354, 594 Carvajal-Gonzalez, Santos...... 233 Chemers, Betty...... 148 Chen, Weijie...... 361, 362 Carvalho, Carlos M...... 141, 151, 395 Chen, Aiyou...... 521 Chen, Wen-Hung...... 89 Carver, Robert H...... 69 Chen, Baibai...... 324 Chen, Xin...... 564 Casas-Cordero, Carolina...... 6 Chen, Baojiang...... 24 Chen, Y.H. Joshua...... 429 Casella, George...... 95 Chen, Baoline...... 48 Chen, Yian A...... 474 Cassedy, Amy E...... 589 Chen, Bee...... 79 Chen, Yi-Ju...... 531 Castillo, Ismael...... 351 Chen, Chen...... 468 Chen, Yiyi...... 322 Cata, Juan...... 433 Chen, Cheng C...... 420 Chen, Yong...... 520 Caudle, Kyle A...... 553 Chen, Chia-Cheng...... 222 Chen, Yongmei...... 608 Cavanaugh, Joseph...... 162 Chen, Chiang-Ling...... 170 Chen, Yu...... 172 Cayon, Laura...... 199 Chen, Chih-nan...... 46 Chen, Yue...... 285 Cecco, Kevin...... 18 Chen, Colin (Lin)...... 236 Chen, Yuguo...... 495 Cecere, William...... 556 Chen, Cong...... 1, 54, 233 Chen, Yun-Fei...... 436 Ceesay, Paulette...... 481 Chen, Cuixian...... 603 Chen, Zehua...... 198 Cepietz, Erica...... 104 Chen, Din...... 603 Chen, Zhao...... 372 Cerqueti, Roy...... 122 Chen, Dung-Tsa...... 474, 572 Chen, Zhen...... 312 Chacón, José E...... 30 Chen, Fang ...... CE_32T,CE_35T Chenette, Ronald...... 273 Chai, Peng...... 233, 236 Chen, Fei...... 271 Cheng, Bin...... 463 Chakraborti, Subhabrata...... 271, 471, 608 Chen, Gang...... 307 Cheng, Cheng...... 473 Chakraborty, Hrishikesh...... 78 Chen, Haiqiang...... 212 Cheng, Chunrong...... 591 Chakraborty, Sounak...... 374 Chen, Haiyan...... 273 Cheng, Dunlei...... 476 Chaloner, Kathryn...... 132 Chen, Hao...... 151 Cheng, Edmond...... 205 Chaloud, Deborah J...... 532 Chen, Huann-Sheng...... 440 Cheng, Guang...... 94, 535, 595 Chan, Ivan S.F...... 43, 324 Chen, Hubert J...... 570 Cheng, Jacob Jen-Hao...... 285 Chan, Kung-Sik...... 171 Chen, James...... 134, 379 Cheng, Jerry...... 416 Chan, Kwun Chuen (Gary)...... 25 Chen, Jiahua...... 198 Cheng, Jie...... 473 Chan, Ping Shing...... 586 Chen, Jie...... 27, 463 Cheng, Jing...... 260, 568 Chan, Wenyaw...... 437 Chen, Jingjing...... 27 Cheng, Kuang-Fu...... 470 Chance, Beth...... 107 Chen, Jin-Hua...... 470 Cheng, Nancy F...... 315

Washington, DC 253 Index of Participants Name Session Name Session Name Session Cheng, Po-Yung...... 34 Chung, Younshik...... 524 Contrino, Heather...... 265 Cheng, Yang...... 479 Ciol, Marcia A...... 5 Cook, Dianne...... 233, 271 Cheng, Yu-Jen...... 518 Citro, Constance F...... 208, 345, 584 Cook, John D...... 236 Cheon, Kyeongmi...... 268, 549 Claeskens, Gerda...... 42 Cook, Nancy...... 191 Chervoneva, Inna...... 171, 276, 277 Clark, B. Christine...... 599 Cook, R. Dennis...... 194, 564 Cheung, Ying Kuen...... 552 Clark, Camille...... 461 Cook, Richard...... 24, 297, 542 Chevarley, Frances M...... 284 Clark, Cynthia...... 584 Cooley, Daniel...... 32, 92 Chi, Yueh-Yun...... 529 Clark, Daniel E...... 308 Coombes, Kevin R...... 433 Chia, Yifeng J...... 519 Clark, Seth...... 525 Cooper, Linda L...... 283 Chia-Lung, Hsu...... 21 Clark, Steve...... 277 Copeland, Kennon R...... 167, 327 Chiang, Chin-Tsang...... 371 Clarke, Bertrand...... 143, 305, 351, 498 Corcoran, Casey...... 479 Chiang, Lumay...... 123 Clarke, Jennifer L...... 305 Coretto, Pietro...... 66 Chien, Lung-Chang...... 600 Clarke, William R...... 412 Cornebise, Julien...... 308, 455 Childs, Jennifer H...... 284 Clauser, Steven B...... 89 Cornell, John A...... CE_19C Chinchilli, Vernon M...... 393, 476 Cleary, Richard...... 188, 450 Cornman, Stephen Q...... 332 Chipman, Hugh...... 3, 348 Clegg, Daniel...... 380, 438 Cornuet, Jean-Marie...... 455 Chitturi, Pallavi...... 598 Clement, Lieven...... 112, 277, 609 Corrado, Carol...... 187 Chitturi, Ravi...... 598 Clements, Robert A...... 117 Correa, Adolfo...... 600 Chiu, Grace...... 32 Cleveland, William S...... 47, 220 Correa, Solange T...... 55 Cho, Meehyung...... 280 Clifford, David...... 353 Cortese, Margaret M...... 440 Cho, MoonJung...... 33 Clyde, Merlise A...... 164 Costantini, Mauro...... 122 Cho, Wendy K.T...... 479 Coar, William J...... 233 Cote, Michele...... 436 Choe, Jongmook...... 285 Coburn, Timothy C...... 383 Coulibaly, Kalamogo...... 130 Choi, Bong-Jin...... 213 Cochran, James J...... 12, 531 Coull, Brent...... 350 Choi, Dongseok...... 232 Coffey, Christopher S...... 380 Couper, Mick P...... 513 Choi, Hyunyoung...... 376 Coffman, Cynthia...... 195, 263, 450 Couzens, Amy...... 571 Choi, Jaeun...... 64 Cohea, Christopher...... 133 Cowles, Mary K...... 2 Choi, Nam Hee...... 580 Cohen Freue, Gabriela...... 609 Cox, Christine S...... 152, 355 Choi, Taeryon...... 278 Cohen, Ezra...... 54 Cox, Lawrence H...... 148 Chon, Yun...... 460 Cohen, Jon...... 144 Cox, Louis A...... 397 Chopova, Boriana...... 554 Cohen, Michael L...... 148 Craig, Bruce A...... 370, 374, 425 Chou, Youn-Min...... 381 Cohen, Michael P...... 216, 265 Craig, Terri L...... 519 Choudhary, Pankaj K...... 476 Cohen, Robin A...... 579 Craigmile, Peter F...... 203 Choudur, Lakshminarayan K...... 436 Cohen, Stephen...... 125, 167, 284, 365 Crainiceanu, Ciprian M.... 277, 353, 356, 442, Chow, Julian...... 128 Cohen, Steven...... 458 CE_09C Chowdhury, Dhuly...... 472 Cohen, Thomas H...... 57 Craiu, Radu...... 369 Christ, Sharon L...... 284 Cohenour, Maria...... 127 Creel, Darryl V...... 284 Christen, Andres...... 143 Cohn, Amanda C...... 440 Cressie, Noel A.....59, 85, 166, 366, 533, 559 Christensen, William F...... 92, 274 Cole, Stephen R...... 576 Crimin, Kimberly...... 26 Christian, Michaele C...... 54 Coleman, Deidra A...... 72 Crixell, JoAnna...... 563 Christman, Mary C...... 137, 497 Collings, Patti B...... 84, 557 Crooks, James L...... 611 Christopher, Ed...... 207 Collins-Thompson, Kevyn...... 436 Crotty, Michael T...... 227 Christou, Nicolas...... 169 Colliver, James...... 258 Crotzer, Milburn E...... 430 Chromy, James R...... 273, 347 Colon-Miranda, Gretchen...... 130 Croushore, Dean...... 303 Chronopoulou, Alexandra...... 527 Colosimo, Enrico A...... 132 Crown, John S...... 58 Chu, Annie...... 117 Colpe, Lisa...... 258 Cruz, Dário...... 168 Chu, Haitao...... 68 Commenges, Daniel...... 400 Cueva-Parra, Luis A...... 498 Chuang, Shih-Chung...... 36 Comulada, Warren S...... 127 Cui, Weiwei...... 284 Chuang, Ya-Hsiu...... 382 Cong, Chunling...... 168 Cui, Xiaoqi...... 440 Chuang-Stein, Christy...... 56, 256, 329 Conjar, Elizabeth A...... 293 Cui, Xinping...... 123 Chun, Hyonho...... 440 Connett, John...... 412 Cui, Yuehua...... 223 Chung, Hwan...... 380 Connolly, Michele...... 209 Cullings, Harry...... 398, 437 Chung, Lisa M...... 428 Conrad, Frederick G...... 513 Culp, Mark...... 538 Chung, Moo K...... 356 Contant, Charles...... 25 Cummiskey, Chris...... 284 Chung, Yeojin...... 30 Contos, George...... 420 Cunningham, Tina D...... 433

254 JSM 2009 Index of Participants Name Session Name Session Name Session Curchfiel, Cecil M...... 440 De Backer, Manu...... 507 Di Fonzo, Tommaso...... 261 Curley, Robert D...... 316 De Beuf, Kristof...... 277 Di, Chongzhi...... 353 Curtin, Lester R...... 124, 579 De Bock, Koen...... 507 Diaconis, Persi...... 403 Curtis, S. McKay...... 548 de Leeuw, Jan...... 170 Diao, Guoqing...... 277 Curtiss, Phyllis J...... 231, 266, 417 De Neve, Jan R...... 112, 609 Diao, Lixia...... 492 Cybulski, Karen...... 327 De Oliveira, Victor...... 366 Dias, Clapton...... 325 Czerwinski, Stefan A...... 440 de Sousa, Bruno C...... 168 Diawara, Norou...... 549 Daggy, Joanne K...... 425 De, Arkendra...... 217, 361 Dicker, Lee...... 51 Dagne, Getachew A...... 469 Deal, Allison M...... 68 Didier, Gustavo...... 113, 527 D’Agostino, Ralph...... 75 Dean, Angela...... 214, 375 Diehr, Paula...... 158 Dagum, Estela Bee...... 48, 205, 444 Debello, Angela...... 421 Dienstfrey, Stephen J...... 186 Dagum, Paul...... 396 Decker, Sandra L...... 152, 466, 579 Dietz, Zach...... 558 Dahl, David B...... 120, 262, 511 Degras, David...... 286 Diewert, W. Erwin...... 550 Dahlhamer, James M...... 6 Dehkordi-Vakil, Farideh...... 417 Diez, David...... 73 Dai, Yilin...... 520 Delaigle, Aurore...... 145 DiGaetano, Ralph...... 257, 421 Daily, Gail...... 512 DeIorio, Maria...... 8 Dikhanov, Yuri...... 550 Dalal, Siddhartha...... 245 Dekker, Katie...... 421 Dillman, Don A...... 345 Dallas, Michael J...... 429 Deksissa, Tolessa...... 410 Dimitrova, Elena S...... 201 Dalton, Jarrod E...... 433 del Barrio, Eustasio...... 605 Ding, Jimin...... 353 Damla, Senturk...... 523 Delaigle, Aurore...... 145 Ding, Qi...... 223 Dang, Qianyu...... 233 Delaney, James...... 130 Ding, Wen...... 103 Daniell, Grace...... 233 delMas, Robert...... 575 Ding, Ying...... 371 Daniels, Brian...... 435 DeLong, Vaughn...... 590 Dinh, Phillip...... 27, 224 Daniels, Michael J...... 3, 62, 100, 139, 200, Demers, Sonia...... 349 Dinov, Ivo D...... 169 259, CE_02C Demirkale, Cumhur Y...... 379 Dinwoodie, Ian H...... 201, 455 Daoud, Yahya...... 476 Demirtas, Hakan...... 170 Dion, Sarah-Maude...... 571 Daphtary, Maithili...... 430 Denby, Lorraine...... 271 DiOrio, Austin...... 228 Darnieder, William F...... 469 Deng, Dianliang...... 474 DiPrete, Tom...... 127 Das, Bikramjit...... 595 Deng, Ling...... 379 DiRienzo, Greg...... 569 Das, Kiranmoy...... 474 Deng, Min...... 610 DiSogra, Charles...... 273, 512 Das, Kumer P...... 382 Denham, Robert...... 37 Divine, George...... 316 Das, Sourish...... 139 Denne, Jonathan...... 163 Dixon, John...... 6 Das, Sunil...... 498 Dennis, Noe...... 528 Dixon, Kelly...... 284 Dasgupta, Abhijit...... 569 Denniston, Maxine M...... 19 Djang, Fred...... 358 DasGupta, Anirban...... 199 Deppa, Brant...... 181 Djira, Gemechis...... 380 Dashen, Monica...... 284 Derr, Bob...... 163 Dmitrienko, Alexei A...... 79, 163, 325, 358, Datta, Gauri S...... 246 Derr, Janice...... 161 CE_28C Datta, Saheli...... 594 Derzko, Gerard...... 280 Do, Kim-Anh...... 374 Datta, Somnath...... 370, 542 Desale, Sameer...... 273 Dobbin, Kevin K...... 467 Datta, Sujay...... 13 DeSantis, Stacia M...... 419, 511 Dobler, Carolyn P...... 69 Datta, Susmita...... 433 Desmone, Rosanne...... 253 Dobra, Adrian...... 225, 304, 399 Datta-Gupta, Akhil...... 62 DeSouza, Cynthia M...... 64, 149 Dodd, Lori...... 1, 160 Davern, Michael...... 152, 309 Despain, Darrin...... 233 Doe, Pete...... 190 Davies, Katherine...... 120, 586 DesRoches, David...... 19 Doerge, Rebecca W...... 340, 525, 574 Davis, Barry...... 412, 503 Detlefsen, Ruth E...... 206 Doganaksoy, Necip...... 577 Davis, Charles B...... 117 Devanarayan, Viswanath...... 460 Doh, Taeyoung...... 415 Davis, Justin W...... 428 Devarajan, Karthik...... 383 Dominic, Dayana...... 378 Davis, Karen E...... 513 Dever, Jill A...... 33, 154 Dominici, Francesca...... 49, 158, 259, 448 Davis, Linda J...... 432 Devine, Owen J...... 358 Donald, Stephen...... 212 Davis, Nick...... 418 Devlin, Sean...... 158 Dong, Hua...... 309 Davis, William...... 342 Dey, Dipak K...... 61, 100, 139 Dong, Jianping...... 520 Davison, Timothy S...... 362 Dey, Jyotirmoy...... 123, 493 Dong, Jin...... 38, 118, 215, 570 Dawson, Deborah V...... 195 Dey, Tanujit...... 227 Dong, Qian...... 233 Dawson, John W...... 255 Dhara, Rosaline...... 34 Dong, Qunming...... 64 Day, Ryan...... 262, 511 Dhavala, Soma S...... 225 Dong, Ye...... 431

Washington, DC 255 Index of Participants Name Session Name Session Name Session Dong, Yuexiao...... 605 Ecklund, Dixie...... 412 Erickson, Stephen W...... 411 Dong, Zhiyuan...... 130, 531 Eckman, Stephanie...... 421, 512 Ericsson, Neil R...... 267 Doorn, David J...... 38 Eddy, William F...... 584 Erkens, Gregory...... 521 Doran, H.E...... 550 Edgar, Jennifer...... 19, 554 Ernst, Lawrence R...... 478 Dordonnat, Virginie...... 212 Edirisingha, Asitha...... 130 Eschenbach, Ted G...... 532 Dorfman, Alan H...... 573, CE_11C Edland, Steven D...... 233 Escobar, Luis A...... 245, 407 Dorman, Karin S...... 354, 594 Edlefsen, Lee...... 47 Estrada, Francisco...... 383 Dornelles, Adriana C...... 440 Edwards, Alison...... 75 Ette, Ene I...... 537 Dorso, Claudio...... 383 Edwards, David...... 368 Etzioni, Ruth...... 78 Doshi, Jalpa A...... 152 Edwards, Kerstin K...... 206 Eubank, Randy...... 189 Doss, Hani...... 3 Edwards, Lloyd J...... 433 Eudey, Lynn...... 283 Dougherty, Robert F...... 356 Edwards, Sharon...... 422 Evangelou, Evangelos...... 259 Douglas, Aaron...... 560 Efendiev, Yalchin...... 62 Evans, Brian...... 71 Douglas, Christopher...... 118 Efird, Jimmy...... 376 Evans, John C...... 103 Dovoedo, Yinaze H...... 471 Efron, Brad...... 197 Evans, Michael...... 67 Downing, Sarah...... 233 Egan, Michael...... 469 Evans, Scott...... 174 Dragalin, Vladimir...... 56 Egelston, Deanna...... 597 Evans, Thomas...... 130, 261 Draguljic, Danel...... 214 Eggers, Frederick...... 339 Everaert, Gerdie...... 477 Drechsler, Joerg...... 588 Egleston, Brian L...... 284 Everett, Stephen E...... 365 Drignei, Dorin...... 44 Ehm, Magaret...... 359 Everson, Michelle...... 557 Dror, Hovav...... 306 Eisenberg, Bennett...... 72 Ewell, Marian...... 5 Drton, Mathias...... 432 Eke, Burcu...... 127 Ewen, Edward...... 440 Drukenbrod, Josh...... 540 Elashoff, Janet D...... CE_36T Ezzati-Rice, Trena M...... 60 Du, Pang...... 157, 603 Ellenberg, Jonas H...... 393 Faerber, Jennifer...... 260 Duan, Jason...... 302, 364 Ellenberg, Susan...... 162, 503 Faes, Christel...... 171, 269 Duan, Naihua...... 46, 569 Elliott, Duncan...... 205 Fagerstrom, Richard M...... 607 Duarte, Elisa...... 168 Elliott, Graham...... 176, 344 Fahimi, Mansour...... 55, 420, 512 Dubin, Joel A...... 24, 276 Elliott, Marc N...... 458 Fairman, Kristin...... 39 Duckworth, William...... 282, 283 Elliott, Michael...... 46, 185, 338, 357, 489, Falcone, Amy...... 420 Duczmal, Luiz H...... 398 518, 600 Falwell, Patrick...... 284 Duda, Nancy...... 327 Ellis, Penelope M...... 531 Famoye, K. Felix...... 383 Duff, Martha...... 39 Elmi, Angelo...... 277, 371 Fan, Chunpeng...... 276 Duffy, Thomas...... 216 Eloyan, Ani...... 548 Fan, Frank (Xiaoyin)...... 27, 377 Dufour, Jean-Marie...... 212 Elrod, Terry...... 118 Fan, Jianqing...... 145, 235, 298, 494, 562 Duggins, Jonathan...... 230 Elsalloukh, Hassan...... 602 Fan, Kang-Hsien...... 222 Duke, Megan...... 286 Elsheimer, D. Bruce...... 38 Fan, Shenghua K...... 162 DuMouchel, William...... 342 Elston, Robert C...... 96, 223, 452, 536 Fan, Tsai-Hung...... 113 Duncan, Kristin...... 132, 228 Eltinge, John L...... 33, 140, 167, 284, 338, Fan, Yingying...... 51, 298, 541 349, 357, 573 Duncan, Tyrone...... 432 Fan, Zhewen...... 369 Emerson, Jennifer B...... 132 Dunn, Van...... 285 Fang, Hua...... 436 Emerson, Scott...... 8, 115 Dunsiger, Shira...... 295 Fang, Xiangming...... 171 Enas, Gregory...... 163 Dunson, David....62, 139, 151, 278, 312, 360, Fang, Yun...... 600 Enas, Nathan...... 280 374, 506, 544 Farance, Frank...... 71 Enders, Felicity B...... 69 Durkalski, Valerie...... 481 Farber, James...... 301 Endriss, Ellen K...... 418 Duty, Paul...... 29 Fardo, David...... 470 Engler, David...... 350 Duvvuru, Suman...... 525 Faries, Douglas...... 263 English, Ned...... 421, 512 Dwivedi, Yogesh...... 122 Farjah, Farhood...... 263 English, Patricia...... 233 Dwork, Cynthia...... 90 Fay, Michael P...... 323 Ennis, Daniel M...... 65 Earp, Morgan S...... 554 Fay, Robert E...... 60, 284 Ennis, John...... 29, 65 Eaton, Danice K...... 19 Fazzari, Melissa J...... 574 Enoch, Glenn B...... 190 Eberly, Lynn E...... 356 Federov, Valerii...... 102 Ensor, Katherine...... 392 Ebisu, Keita...... 422 Fedorov, Valerii V...... 43, 102, 123, 256 Entine, Oliver...... 127 Ebrahimi, Nader...... 202 Feigin, Paul D...... 275, 432 Entsuah, Richard...... 430 Eckel, Sandrah P...... 158 Feingold, Eleanor...... 470 Erhardt, Erik B...... 73 Eckhardt, Giana...... 118 Feld, Sebastian...... 507

256 JSM 2009 Index of Participants Name Session Name Session Name Session Feldman, Harold...... 210 Flegal, Katherine...... 7 Fricker, Scott...... 19 Felix-Medina, Martin H...... 478 Fleishman, Alex...... 503 Fried, Linda P...... 158 Fellingham, Gilbert...... 37 Fleming, Craig...... 75 Friedenberg, David A...... 467 Fellouris, Georgios...... 608 Fleming, Kathy...... 264 Friedman, Jerome H...... 385, 453, 583 Feng, Dai...... 164 Fletcher-Heath, Lynn...... 528 Friedman, Lawrence...... 412 Feng, Ping...... 233 Flint, Katherine H...... 19 Friedow, Alison...... 290 Feng, Rui...... 96 Flores Cervantes, Ismael...... 33 Fries, Arthur...... 310 Feng, Tao...... 440 Flournoy, Nancy...... 29 Froelich, Amy G...... 282, 314 Feng, Xingdong...... 68 Flum, David R...... 263 Fromewick, Jill...... 472 Feng, Yang...... 562 Foarde, Jeffrey...... 596 Frydman, Halina...... 213 Feng, Yijia...... 27 Fochesatto, Javier...... 611 Fryland, Jane...... 160 Feng, Ziding...... 115 Fogel, Paul...... 383 Fu, Chong Y...... 380 Fenton, David...... 601 Fokoue, Ernest...... 308 Fu, Dongyue...... 233 Ferhatosmanoglu, Nilgun...... 526 Foley, Kristen M...... 422, 540 Fu, Guifang...... 221 Ferland, Michel...... 129 Follmann, Dean...... 23 Fu, Haoda...... 26, 233, 436 Fermin, Ana Karina...... 400 Folsom, Ralph E...... 347 Fu, Rongwei (Rochelle)...... 75 Fernandes, Jyotika...... 285, 511 Fong, Youyi...... 200 Fu, Wenjiang...... 223 Fernandez, Mario...... 106 Forbes, Andrew...... 419 Fu, Yuejiao...... 254 Fernández, Miguel A...... 474 Forester, James D...... 196 Fuentes, José S...... 132 Fernandez, Soledad...... 526 Forman, Julie L...... 383 Fuentes, Montserrat...... 49 Fernandez-Alcala, Rosa M...... 383 Forshee, Richard A...... 73, 285 Fujimoto, Hiroshi...... 103 Fernando, Harshini...... 319 Fort, James...... 313 Fujisawa, Hironori...... 375 Ferreira, Marco A.R...... 14, 570 Fortier, Susie...... 48, 129, 261 Fulcomer, Mark C...... 283, 287 Ferron, John M...... 284 Foster, Nathan R...... 233 Fuller, Wayne...... 327, 365 Ferrucci, Luigi...... 440 Fostvedt, Luke...... 404 Fullerton, Jr., Thomas M...... 610 Fetter, Matt...... 556 Fotopoulos, Stergios B...... 608 Funderburk, Frank...... 127 Feuer, Eric...... 342 Foulkes, Andrea S...... 195, CE_06C Fung, Wing K...... 277 Feyerharm, Robert...... 285 Foulkes, Mary...... 459 Fuquene, Jairo A...... 233 Fidrmuc, Jarko...... 67 Foulley, Jean-Louis...... 525 Furrer, Reinhard...... 59, 92, 590 Fiecas, Mark...... 101, 562 Foushee, Margaret T...... 592 Gabrosek, John...... 283 Fiegener, Mark...... 125 Fowler, Leslie...... 447 Gabrys, Robertas...... 319 Fields, Paul J...... 487, 509 Fowles, Richard...... 105 Gadbury, Gary L...... 291, 608 Fienberg, Stephen...... 90, 193, CE_05C Fox, Katherine L...... 125 Gaddis, Marshall...... 461 Finamore, John M...... 284, 478 Fraley, Chris...... 580 Gadrich, Tamar...... 604 Findley, David...... 104, 444 Francoeur, Mathieu...... 120 Gaffney, Michael...... 17 Fine, Jason...... 603 Frangakis, Constantine...... 136, 295, 427 Gaglianone, Wagner...... 119 Finegold, Michael A...... 432 Frank, Guillermo...... 383 Gagné, Christian...... 261 Fink, Aliza...... 440 Frank, Luis...... 130 Gagnon, David...... 233, 440 Finkbeiner, Carl T...... 284 Franke, Warren...... 423, 568 Gahche, Jaime...... 124 Finkel, Adam M...... 143 Franklin, Christine S...... 363, 514 Gail, Mitchell H...... 7, 191, 373, 411, 470, Finkelstein, Dianne M...... 330, 440 Frazier, Mary B...... 355 CE_22C Finley, Andrew...... 137, CE_12C Frechtel, Peter...... 571 Gaile, Daniel P...... 350 Firinguetti, Luis...... 77 Freels, Sally...... 315 Gaines, Leonard M...... 178 Firth, David...... 121 Freeman, Jade...... 32 Gajewski, Byron J...... 41, 111, 169, 233 Fisher, Danyel A...... 539 Freeman, Laura J...... 230 Galbraith, John W...... 303 Fisher, Diane...... 367 Freeman, Michele...... 75 Gallant, Jack...... 341 Fisher, Marian R...... 50, 412 Frees, Edward W...... 587 Gallas, Brandon D...... 362 Fisher, Nicholas I...... 384 Freiman, Michael...... 121 Gallop, Robert J...... 111 Fisk, Charles...... 133 Fremont, Allen...... 458 Gan, Jianjun...... 278 Fitzgerald, Anthony P...... 382 French, Benjamin...... 263, 393 Gan, Linmin...... 27 FitzGerald, Jenny L...... 273 French, Jonathan L...... 537 Gandhi, Bodapati V.R...... 314 Fixler, Dennis...... 187, 578 Frenzen, Heiko...... 507 Ganesh, Nadarajasundaram...... 167, 327 Flatt, Shirley...... 561 Frey, Jesse...... 286 Ganesh, Santhi K...... 393 Fleeman, Anna...... 512 Friberg, Lena...... 262 Gangnon, Ronald...... 32, 561 Flegal, James M...... 558 Fricker, Ron...... 488 Ganju, Jitendra...... 325

Washington, DC 257 Index of Participants Name Session Name Session Name Session Gansky, Stuart...... 315 George, Thomas...... 255 Godbout, Serge...... 321 Gantz, Donald T...... 432, 607 Gerard, Patrick D...... 231 Godsill, Simon...... 308 Gantz, Marie...... 472 Gerdes, Geoffrey R...... 478 Goel, Prem K...... 221, 562 Gao, Chunwang...... 34 Gershunskaya, Julie...... 554 Goeyvaerts, Nele...... 380 Gao, Feng...... 64 Gerstein, Mark...... 13 Gold, David...... 350 Gao, Guimin...... 470 Geva, Yulanda...... 173 Gold, Ellen...... 561 Gao, Hongjiang...... 380 Geyer, Charles J...... 452, 560 Goldberg, Richard M...... 233 Gao, Jingjing...... 523 Gfroerer, Joe...... 258 Goldin, Rebecca...... 153 Gao, Shan...... 233 Ghahramani, Melody...... 515 Goldsmith, Arthur J...... 356 Gao, Xiaoyi...... 520 Ghebregiorgis, Ghideon...... 26, 211 Goldsmith, Charlie H...... 233 Gao, Xin...... 198, 297 Ghosh, Arka...... 416 Goldstein, Larry...... 561 Gao, Xin...... 518 Ghosh, Arpita...... 520 Golightly, Andrew...... 462 Gao, Yong...... 438 Ghosh, Debashis...... 445 Golovnya, Mikhail ...... CE_37T,CE_39T Gao, Yonghong...... 592 Ghosh, Dhiren...... 365, 478 Gomatam, Shanti...... 204, 362 Garcia, Maria del Mar Rueda...... 317 Ghosh, Jayanta K...... 374 Goncalves, Silvia...... 150, 303 Gard, Charlotte C...... 525 Ghosh, Joyee...... 164 González Hernández, Javier...... 59 Gardenier, Turkan K...... 536 Ghosh, Kaushik...... 262 González, Andrés...... 344 Gardiner, Joseph C...... 370, 425 Ghosh, Malay...... 246, 323 Gonzalez, Jeffrey...... 19, 284, 420, 554 Garding, Gina...... 307 Ghosh, Pulak...... 105, 262 Gonzalez, Jr., Joe Fred...... 41, 226 Gardner, Martha...... 447 Ghosh, Samiran...... 399, 535, 542 González-Manteiga, Wenceslao...... 248 Gardner, Todd...... 309 Ghosh, Souparno...... 100, 139 Goodale, Sarah E...... 165 Garfield, Joan B...... 107, 336, 575 Ghosh, Subir...... 23 Goodlett, Dave...... 380 Garlick, Marti B...... 506 Ghosh, Sujit...... 23, 130, 548, 600 Goodman, Arnold...... 487, 577 Garner, Thesia I...... 208 Ghoshal, Subhashis...... 351, 524 Goodwin, Barry...... 130 Garren, Steven T...... 33 Ghysels, Eric...... 344, 415 Gooley, Ted A...... 272 Garrett-Mayer, Elizabeth...... 322 Gilardoni, Gustavo L...... 132 Gordon, Alexander Y...... 115, 417 Garvin, Willaim...... 284 Gilbert, Ethel...... 440 Gordon, Mae...... 64 Garza, John...... 515 Gilbert, Peter...... 324 Gordon, Nancy...... 18 Gastonguay, Marc...... 505 Gilbert, Thomas...... 303 Gore, Kristen L...... 461 Gastwirth, Joseph L...... 57, 127, 135 Gilbride, Tim...... 396 Gorrell, Paul...... 458 Gatsonis, Constantine...... 460 Gill, Paramjit S...... 229, 468 Gospodinov, Nikolay...... 150, 267 Gattiker, Jim...... 214 Gillespie, Bill...... 505 Gottardo, Raphael...... 543 Gauch, Ronald R...... 153 Gillman, Daniel W...... 71, 483 Gotway Crawford, Carol...... 137 Gaydos, Brenda...... 559 Ginestet, Cedric E...... 259 Goude, Yannig...... 598 Ge, Joy (Yang)...... 164, 377 Ginevan, Michael E...... 464 Gould, A. Lawrence...... 377 Gebregziabher, Mulugeta...... 419 Gingrich, Dana...... 590 Gould, Joshua...... 32 Gee, Roanna...... 283 Ginsberg, Jeffrey...... 210 Graf, Monique...... 173 Geenens, Gery...... 121 Giordani, Paolo...... 37 Graham, Jonathan M...... 532 Geinitz, Steven...... 59 Giovannini, Enrico...... 4 Graham, Matthew...... 18 Gel, Yulia R...... 275 Girard, Luc...... 380 Gramacy, Robert B...... 21, 374, 395 Gelfand, Alan E...... 61, 137, 189, 274, 422 Girgis, Ragy...... 569 Grambow, Steven C...... 195, 450 Geller, Nancy...... 23, 393 Giroux, Suzelle...... 33, 571 Granovsky, Lena...... 275 Gelman, Andrew...... 46, 127, 427 Gitelman, Alix...... 218 Grant, David...... 454 Geman, Donald...... 526 Giurcanu, Mihan C...... 28 Grau, Eric...... 421 Gemayel, Nader M...... 598 Glandon, P.J...... 299 Graubard, Barry I...... 7, 257 Gemoets, Darren E...... 366, 524 Glanz, Jason...... 111 Grauel, Chris...... 590 Genadek, Katie...... 309 Glasser, Jay H...... 437 Graves, Andrew...... 255 Genest, Christian...... 587 Glassman, Neal...... 397 Graves, Spencer...... 604 Gennings, Chris...... 73 Glazko, Galina...... 417 Graves, Todd...... 226 Gent, Janneane F...... 422 Glen, Andrew G...... 563 Gray, Brian...... 521 Gentle, James E...... 130, 270, 416 Glenn , Nancy L...... 116 Gray, Brian R...... 35 Gentleman, Jane F...... 321, 579 Glickman, Mark...... 174, 589 Gray, Charlie M...... 254 Genton, Marc...... 275, 366 Glynn, Robert J...... 20, 115, 433 Gray, J. Brian...... 522 George, E. Olusegun...... 268, 549 Goble, Nicolle...... 601 Gray, Kathy L...... 166 George, Stephen L...... 446, 572 Godbold, James...... 65 Gray, Mary...... 55, 314, 496

258 JSM 2009 Index of Participants Name Session Name Session Name Session Gray, Simone...... 422 Guo, Hongwen...... 203 Hamrick, David J...... 610 Green, Jennifer...... 290 Guo, Hua...... 528 Hamrick, Jeff...... 133 Green, Jim...... 421 Guo, Jiqiang...... 475 Hamsici, Turknur...... 39 Green, Nathan...... 308 Guo, Qiang...... 378 Han, Bing...... 127 Greene, Darrell...... 165 Guo, Ruixin...... 374 Han, Chien-Pai...... 74 Greene, Michael A...... 519 Guo, Wensheng...... 194, 371, 569 Han, Gang...... 213 Greene, Tom...... 380, 438 Guo, Ying...... 315 Han, Jing...... 529 Greenhouse, Joel B...... 342 Guo, Ying...... 437 Han, Sangmi...... 431 Greenwood, Celia M.T...... 211 Gupta, Ghanshyam...... 591 Han, Shu...... 27 Greenwood, Mark C...... 254 Gupta, Mayetri...... 399 Han, Summer S...... 428 Grego, John...... 117 Gupta, Sat N...... 420 Hand, David J...... 386, 534, 577 Gregory, Raymond...... 285 Gurevich, Gregory...... 566 Handcock, Mark S...... 127, 354 Greiner, D. James...... 57 Gurler, Ulku...... 323 Hanes, John...... 440 Greven, Sonja...... 424 Gurski, Katharine...... 367 Haneuse, Sebastien...... 196 Grieve, Andrew...... 26 Guthrie, William F...... 74, 598 Hanges, Paul...... 293 Grieve, Richard...... 425 Gutierrez, Roberto G...... CE_34T Hanks, Ephraim...... 132 Griffin, Beth Ann...... 58 Gutman, Roee...... 76 Hanlon, Bret...... 545 Griffin, Deborah H...... 109, 186 Guzman, Daniel...... 585 Hannig, Jan...... 16 Griffith, Emily H...... 264 Guzmán, Daniel R...... 585 Hans, Christopher...... 141, 380, 395 Griffith, William S...... 381 Gwise, Thomas E...... 160 Hansen, Ben B...... 158, 260 Griffiths, Richard...... 284 Haag-Molkenteller, Corneliar...... 233 Hansen, James V...... 521 Grigorenko, Elena L...... 428 Haber, Michael J...... 523 Hanson, Tim...... 278 Grilli, Leonardo...... 326, 518 Haberman, Shelby J...... 156 Haran, Murali...... 2, 61, 366, 602 Gross, Justin...... 404 Habermann, Hermann...... 584 Harding, R. Lee...... 284 Gross, Shulamith T...... 213 Habibullah, Mohamed...... 279 Hare, Lynne...... 98 Groth, Randall E...... 69 Habiger, Josh...... 379 Harel, Ofer...... 14, 419, 569 Grover, James E...... 406 Habtzghi, Desale...... 370 Harlow, Sioban...... 380 Groves, Robert...... 6, 513 Hade, Erinn...... 75 Harper, William V...... 532 Gruber, Joseph...... 267 Haesen, Raf...... 507 Harrar, Solomon W...... 320 Gruber, Marvin H.J...... 313 Hafen, Ryan P...... 220 Harris, Bernard...... 271, 485 Gruber, Susan...... 20 Haghighi, Aliakbar Montazer...... 564 Harris, Julie...... 596 Grun-Rehomme, Michel...... 269 Hahn, Gerald...... 577 Harris, Mark...... 556 Gu, Ja K...... 124, 440 Hajek, Richard...... 561 Harris, Marty...... 567 Guan, Yongtao...... 203 Hale, Thomas W...... 551 Harris-Kojetin, Lauren...... 466 Guan, Zhong...... 112 Halim, Shaheen...... 343 Harrison, Takisha R...... 383 Guardiola, Jose H...... 602 Hall, Benjamin K...... 120, 220 Hart, Jeffrey...... 189, 320 Guberek, Tamy...... 585 Hall, David B...... 175 Harter, Rachel...... 155 Gubman, Yury...... 317 Hall, David W...... 284 Hartford, Alan H...... 537 Gudbjartsson, Daniel F...... 526 Hall, J. Brian...... 310 Hartless, Christine...... 532 Gudmundsson, Julius...... 526 Hall, John...... 327 Hartman, Brian...... 118, 302 Guennel, Tobias...... 526 Hall, Natalie C...... 163, 438 Hartz, Michael J...... 206 Guerrero, Victor M...... 383 Hall, Peter G...... 51, 121, 341 Harvill, Jane L...... 130 Guerrero-Romero, Fernando...... 555 Hall, Robert...... 193 Hashimoto, Masaru...... 376 Guha, Saptarshi...... 47 Hall, Simin...... 283 Hassad, Rossi A...... 509 Guha, Subharup...... 511 Hall, Timothy G...... 602 Haug, Mark G...... 97 Guikema, Seth D...... 119, 269, 313 Hallinan, Shawn...... 272 Haughton, Dominique...... 130, 450 Guindani, Michele...... 262 Halvorson, Katherine T...... 575 Haviland, Amelia M...... 458 Gulati, Parul...... 526 Hamadeh, Nada...... 550 Hawkins, Douglas M...... 319 Gulyas, Stephen...... 358 Hamadu, Dallah...... 130, 284 Hawthorne, Timothy L...... 469 Gunaratna, Nilupa S...... 12, 404 Hamasaki, Toshimitsu...... 233 Hayashi, Kentaro...... 560 Gunes, Funda...... 163 Hamer-Maansson, Jennifer E...... 233, 476 Hays, Ron D...... 89 Gunst, Richard F...... 221, 467 Hamid, Jemila S...... 211, 287, 378 Hayward, Heath...... 18 Guo, Chao-Yu...... 359 Hamilton, James...... 150 He, Bo...... 132 Guo, Feng...... 265 Hammad, Hoda...... 76 He, Chong Z...... 410 Guo, Frank Jian...... 66, 138, 354 Hammerstrom, Thomas...... 324 He, Hua...... 419

Washington, DC 259 Index of Participants Name Session Name Session Name Session He, Jianghua...... 323 Heredia-Langner, Alejandro...... 313 Holland, Mark D...... 35 He, Jing...... 474 Herman, Jeffrey L...... 293 Hollander, Zsuzsanna...... 609 He, Kun...... 1 Hernan, Miguel A...... 576 Holloman, Christopher...... 335 He, Qimei...... 440 Hernandez, Jose J...... 227 Holmboe, Eric S...... 285 He, Qinying...... 170 Hernandez-Magallanes, Irma...... 413 Holst, Klaus K...... 74 He, Weili...... 27, 430, 528 Harrell, Leigh M...... 69 Holt, James...... 438 He, Wenqing...... 543 Herrera, Ana Maria...... 118 Holtzman, Golde I...... 593 He, Xin...... 276 Herring, Amy...... 268 Holzer, III, Charles E...... 439 He, Xuming...... 68, 275, 330, 438 Herrmann, Douglas J...... 539 Holzmann, Hajo...... 473 He, Yi...... 27 Hesley, Teresa E...... 39 Homrighausen, Darren W...... 523 He, Yulei...... 64, 75, 216, 343 Hesterberg, Tim...... 489, 580 Honerlaw, Meghan...... 404 He, Zhi...... 112 Heston, Alan...... 550 Hong, Guanglei...... 127 Heagerty, Patrick...... 196, 224, 263, 606 Heston, Thomas F...... 467 Hong, Hyokyoung (Grace)...... 165, 438 Heath, Elisabeth I...... 54 Heuvelink, Gerard B.M...... 137 Hong, Sung-Joon...... 99 Heather, Tierney...... 578 Heyse, Joseph...... 408, 446 Hong, Yili...... 245, 516 Heaton, Matthew J...... 164 Hickman, Jeffrey...... 508 Hooker, Giles...... 157, 604 Heavlin, William D...... 570 Higdon, Dave...... 247, 500 Hooker, Rachael...... 18 Hebebrand, Johannes...... 473 Higgs, Megan D...... 366 Hooks, Tisha L....84, 181, 239, 336, 389, 487 Heckman, Nancy E...... 157 Highland, Fred...... 255 Hooper, Emma...... 129 Hedayat, Samad A...... 36 Hikawa, Hiro...... 57 Hooten, Mevin B...... 132, 218, 497, 506 Hedler, Frank...... 70, 598 Hildreth, Laura A...... 281 Hopfensperger, Pat...... 363 Heeringa, Steven G...... 99 Hill, Andrew...... 362 Horick, Nora...... 440 Heersink, Daniel...... 74 Hill, Andrew N...... 315 Horn, Dan...... 293 Hefter, Steven P...... 155 Hill, Elizabeth...... 433 Hornung, Carl A...... 575 Heiberger, Richard M...... 88 Hill, Jennifer...... 108 Horowitz, Joel...... 146 Heilbrun, Lance K...... 54 Hill, Mary A...... 499 Horsburgh, Jr., Charles R...... 440 Heim, Bob...... 284 Hill, Walter...... 469 Horton, Nicholas...... 266, 380, 530 Heiny, Erik L...... 133 Hille, Darcy...... 481 Horvath, Lajos...... 319 Heinz, Daniel...... 286 Hillebrand, Eric...... 344 Horvitz, Eric...... 396 Heitjan, Daniel F...... 24, 377 Hilton, Sterling...... 107 Hosking, Jonathan...... 32 Helbling, Thomas F...... 244 Hing, Esther...... 466 Hosman, Carrie...... 158, 279 Helenowski, Irene B...... 170 Hinkins, Susan...... 284 Hossain, Alomgir...... 217 Helfand, Jessica G...... 165 Hipple, Steven F...... 551 Hossain, Md Monir...... 370, 561 Helfand, Mark...... 75 Hirose, Kei...... 560 Hougaard, Philip ...... CE_01C,CE_01C Hellams, Luvenia...... 281 Ho, Hsiu-Jung...... 170 House, Carol...... 81, 556 Heller, Allen...... 464 Ho, Judy...... 285 House, Leanna...... 524, 593 Helms, Russell W...... 464 Hoaglin, David C...... 528 Houseman, E. Andres...... 350 Hemmings, Robert...... 252 Hobbs, Brian...... 17 Hovey, Peter W...... 516 Hendarwan, Erlina...... 512 Hobbs, Jonathan M...... 459 Hsia, Jason...... 257 Henderson, Ty...... 70, 190 Hobson, Kate...... 479 Hsiao, Chin-fu...... 528 Hendrich, Ann...... 285 Hodges, James...... 292 Hsieh, Ping-Hung...... 131 Hendricks, Mario...... 255 Hodges, Ken...... 207 Hsing, Tailen...... 166 Hendrix, Suzanne...... 505 Hoerl, Roger...... 98 Hsu, Henry...... 591 Henle, James...... 380 Hoeting, Jennifer...... 366 Hsu, Hui-Ting...... 110 Henn, Scott...... 124 Hoff, Peter...... 156, 452 Hsu, Jason...... 430, 572 Hennessey, Violeta G...... 233 Hoffman, Lorrie L...... 277, 290 Hsu, Ken-Ning...... 468 Hennig, Christian...... 66 Hoffmann, Raymond G...... 72 Hsu, Li...... 406 Henning, Kevin...... 283, 367 Hofmann, Barbara...... 173 Hsu, Margaretha...... 326 Henry, David H...... 325 Hofmann, Heike...... 182, 227, 271, 337, 471 Hsu, Valerie...... 421 Henry, Kimberly...... 106, 284 Hogan, Joseph W...... 295, CE_02C Hsu, Wan-Ling...... 440 Hens, Niel...... 380 Hogue, Carma...... 206, 479, 571 Hsu, Ya-Hui...... 275 Henzel, Steffen...... 130 Hogye, Michael...... 556 Hsueh, Huey-Miin...... 380 Hepler, Amanda B...... 432, 607 Hohman, Elizabeth L...... 72, 319, 602 Hu, Bo...... 383 Herbei, Radu...... 241 Holan, Scott...... 14, 104, 410, 413, 510 Hu, Chen...... 168 Heredia Langner, Alejandro...... 313 Holford, Theodore R...... 422 Hu, Fan...... 162

260 JSM 2009 Index of Participants Name Session Name Session Name Session Hu, Feifang...... 115 Hung, H.M. James...... 252 Ivanova, Anastasia...... 446 Hu, Janice T...... 125 Hung, James...... 547 Ivy, S. Percy...... 54 Hu, Jiang...... 115 Hung, Man...... 380, 438 Iwig, William...... 556 Hu, Jianhua...... 68, 379, 559 Hung, Ying...... 21 Izem, Rima...... 199 Hu, Kuolung...... 430 Hung, Ying-Chao...... 36 Izenman, Alan J...... 469 Hu, Mingxiu...... 275, 481 Hunt, Jr., William F...... 461, 540 Jack, Susan...... 75 Hu, Peter...... 25 Hunter, David R...... 354 Jackson, Arnold A...... 394 Hu, S. Sean...... 284 Hunter, J. Stuart...... 384 Jackson, Aubrey...... 469 Hu, Yijuan...... 433 Huo, Xiaoming...... 423 Jackson, Monica...... 314 Hua, Guangying...... 130 Huque, Mohammad F...... 324, 505 Jackson, Tammy...... 413 Hua, Zhaowei...... 374 Hurwitz, Shelley...... 97 Jacobs, Caroline...... 285 Huang, Bin...... 468 Huson, Les...... 26 Jacobs, Justin...... 524 Huang, Chiung-Yu...... 426 Hutchinson, Rebecca...... 13 Jacobson, Sheldon H...... 479 Huang, Chunfeng...... 166 Hutchinson, Rebecca J...... 413 Jacquez, Geoffrey...... 398 Huang, Douglass...... 255 Hutmacher, Matthew M...... 537 Jadhav, Pravin R...... 537 Huang, Elizabeth T...... 327 Hutson, Alan...... 285 Jaffrézic, Florence...... 525 Huang, Gary G...... 39 Huzurbazar, Aparna...... 310, 456 Jalil, Munir...... 570 Huang, Guangwei...... 382 Hwang, Eunhee...... 26 James, Gareth...... 138 Huang, Hsin-Yi...... 380 Hwang, J.T. Gene...... 559 James, Jennifer M...... 461 Huang, Hui...... 436 Hwang, John D.S...... 233 James, Thomas R...... 532 Huang, Jian...... 146, 564 Hwang, Wei-Ting...... 168, 426 Jamshidian, Farid...... 20 Huang, Jian...... 17, 103 Hwang, Yi-Ting...... 607 Jamshidian, Mortaza...... 36 Huang, Jianhua...... 15, 94, 157, 379, 562 Hydorn, Debra...... 314 Jana, Kalidas...... 415 Huang, Jinlong...... 29 Hyman, Bradley T...... 377 Jang, Dongik...... 376 Huang, Lan...... 105, 398 Hyrien, Ollivier...... 28, 545 Jang, Donsig...... 167, 284, 365, 420, 551 Huang, Liping...... 220, 609 Hyslop, Terry...... 54 Jang, Gun Ho...... 67 Huang, Shongming...... 35 Hysolp, Terry...... 569 Jang, Junghoon...... 524 Huang, Tao...... 157, 541 Iachan, Ronaldo...... 216, 440 Jank, Wolfgang S...... 184 Huang, Wei-Min...... 72, 113, 120 Ialongo, Nicholas...... 217 Jara, Alejandro...... 360 Huang, Xiaobi...... 600 Iannacchione, Vincent G...... 284, 301, 512 Jarjoura, David...... 431, 526 Huang, Xuelin...... 552 Ibrahim, Joseph G...... 52, 101, 249, 360, 411 Jarmin, Ron...... 588 Huang, Yao...... 204 Ichikawa, Masanori...... 560 Jauregui, Maritza...... 287 Huang, Yen-Chi...... 570 Iglewicz, Boris...... 277, 408 Jayawardhana, Ananda A...... 516 Huang, Yi...... 568 Ikeda, Kimitoshi...... 547 Jebara, Tony...... 431 Huang, Ying...... 250 Ikeda, Michael...... 33 Jeffery, Caroline...... 471 Huang, Yuanyuan...... 271 Ikeda, Morna...... 406 Jeffries, Robin...... 76 Huang, Yung-Hsiang...... 520 Im, Hae Kyung...... 196 Jemiai, Yannis ...... CE_41T Hubbard, Alan...... 20 Imai, Kosuke...... 127, 436, 568 Jeng, Shuen-Lin...... 516 Hubbard, Rebecca...... 427 Imel, Lynn...... 114 Jenkins, Brenda...... 233 Hubbell, Bryan...... 49 Imrey, Peter B...... 97 Jennings, Kristofer...... 68 Hubble, David...... 71 Inclan, Carla...... 173 Jennison, Chris...... 252 Hubele, Norma F...... 269 Inoue, Atsushi...... 86 Jensen, Shane...... 395 Huber, Mark...... 455 Inoue, Lurdes...... 360 Jeong, Jaesik...... 372 Huber-Carol, Catherine...... 213 Ioannou, Demosthenes...... 244 Jersky, Brian...... 266 Hubrich, Kistin...... 344 Ionides, Edward...... 527 Jeske, Daniel...... 274 Hudgens, Michael...... 475, 504, 542 Ionita-Laza, Iuliana...... 470 Jessiman, Barry...... 422 Hudson, Jaree...... 277 Irizarry, Rafael...... 277 Jewell, Nicholas P...... 45 Huff, Larry L...... 554 Irony, Telba...... 175, 294 Jezek, Mary...... 106 Hugel, Greg M...... 440 Irvine, Kathryn M...... 218 Ji, Chuanshu...... 415 Hughes, Art...... 258 Isakov, Vlad...... 611 Ji, Chunlin...... 308 Huh, Jib...... 30 Ishwaran, Hemant...... 535 Ji, Yuan...... 350, 552 Hui, Sam K...... 302 Islam, Khairul...... 217, 315 Jia, Feiyi...... 77 Human, Schalk W...... 608 Ito, Kaori...... 505 Jia, Gang...... 280 Hummel, Ruth M...... 354 Ito, Shunsuke...... 285 Jia, Yue...... 156 Humphrey, Patricia B...... 367 Ittenbach, Richard F...... 589 Jiang, Ci-Ren...... 52

Washington, DC 261 Index of Participants Name Session Name Session Name Session Jiang, Deyuan...... 409 Jong, Yi-Kuan...... 610 Kaplan, David...... 558 Jiang, Haolai...... 227 Joo, Jungnam...... 393 Kaplan, Jennifer J...... 314, 367 Jiang, Hongmei...... 574 Joseph, Jonathan F...... 601 Karamehic-Muratovic, Ajlina...... 127 Jiang, Huijing...... 32, 166 Joseph, Roshan V...... 368 Karney, Benjamin R...... 58 Jiang, Huiping...... 569 Joshi, Adarsh...... 559 Karr, Alan F...... 14, 299, 392 Jiang, Jiming...... 492 Joshi, Sharad...... 398 Karrison, Theodore...... 54 Jiang, Kaihong...... 280 Ju, Wen-Hua...... 271 Kasala, Subramanyam...... 110 Jiang, Min...... 279 Ju, Zhenlin...... 433 Kasap, Senol...... 381 Jiang, Qi...... 43, 233 Judkins, David R...... 108 Kashihara, David...... 60 Jiang, Renfang...... 520 Jugnot, Stéphane...... 349 Kashyap, Vinay...... 199 Jiang, Thomas J.M...... 524 Jullion, Astrid...... 360 Kass, Robert E...... 457 Jiang, Wei...... 436 Jung, Hyekyung...... 317 Katenka, Natallia...... 527 Jiang, Wenhua...... 558 Jung, Jeesun...... 132, 411 Katholi, Charles R...... 380 Jiang, Wenxin...... 164 Jung, Sin-Ho...... 572 Katki, Hormuzd...... 559 Jiang, Xiaoping...... 1 Jung, Yoonsuh...... 130 Katz, Daniel...... 228 Jin, Bo...... 280 Junling, Ma...... 606 Katz, Terry...... 329 Jin, Hui...... 504 Jupin, Joseph...... 469 Katzfuss, Matthias...... 215, 366 Jin, Jiming...... 218 Jurgenson, Nathan...... 284 Katzoff, Myron J...... 58, 148, 284, 513, 517 Jin, Kun...... 505 Kaciroti, Niko...... 372, 409 Kaufman, Cari...... 247, 346 Jin, Lei...... 375 Kadane, Joseph...... 132 Kaur, Amarjot...... 23, 599 Jin, Yuying...... 361 Kader, Gary...... 363 Kaushal, Rainu...... 75 Jin, Zi...... 607 Kadilar, Cem...... 99 Kawano, Shuichi...... 423, 560 Joffe, Marshall...... 295, 324, 576 Kagihara, Masato...... 279 Kawashima, Toana...... 233 Johannes, Michael...... 141 Kahn, William...... 98 Kay, Kendrick...... 341 Johannesson, Gardar...... 611 Kai, Bo...... 159 Kazeem, Gbenga R...... 359 John, Majnu...... 275 Kairalla, John A...... 380 Ke, Chunlei...... 233, 289 Johnson, Brent...... 581 Kaiser, Mark S...... 92, 240 Keathley, Don...... 155 Johnson, Clifford...... 579 Kakuma, Tatsuyuki...... 440 Keating, Jerome P...... 120, 586 Johnson, Dallas E...... CE_08C Kalbfleisch, John D...... 74, 407, 426 Kedem, Benjamin...... 383, 549 Johnson, Devin...... 218, 497 Kalendra, Eric...... 49 Keele, Luke...... 127, 568 Johnson, Edward P...... 284 Kalsbeek, William...... 347 Keeling, Kellie...... 415, 563 Johnson, Jeffrey A...... 440 Kalton, Graham...... 207 Keer, David W...... 284 Johnson, Kendall...... 394 Kamal, Shahid...... 469 Keeter, Scott...... 144 Johnson, Laura Lee...... 425 Kambara, Ayako...... 231 Keith, Scott W...... 54, 268 Johnson, Leif...... 219 Kamer, Gary...... 175 Kejriwal, Mohitosh...... 212 Johnson, Matthew S...... 156, 272, 443 Kamin, Steven B...... 267 Kelemen, Arpad G...... 436 Johnson, Nels...... 230 Kaminski, Marek...... 519 Keller, Gerald...... 563 Johnson, Robert E...... 433 Kan, Betul...... 424 Keller, Klaus...... 61 Johnson, Terri K...... 307, 329 Kane, Michael...... 227, 337 Kelley, Ken...... 169 Johnson, Timothy D...... 76, 100, 171 Kang, Emily Lei...... 59 Kelly, Colleen...... 233 Johnson, Valen E...... 559, 582 Kang, Guolian...... 28, 470 Kelly, Roswitha E...... 78 Johnson, Wesley O...... 8, 41, 449 Kang, Jian...... 76 Kelly, W. Robert...... 74 Johnson, William E...... 379 Kang, Joseph...... 136 Kelner, Katrina...... 299 Johnston, Heather M...... 364 Kang, Kee-Hoon...... 16, 30 Kelsey, Sheryl F...... 50 Johnston, Monica...... 387 Kang, Kelly H...... 365, 420 Kemis, Mari...... 326 Johnston, Richard...... 438 Kang, Lulu...... 368 Kendall, Art...... 39 Johnstone, Iain...... 31 Kang, Qing...... 162 Kenkel, Patrick...... 120 Jokinen, Jeremy D...... 358 Kang, Zhixin...... 232 Kennedy, Cille...... 209 Jolly, William M...... 532 Kann, Laura...... 19 Kennedy, Courtney...... 365 Jones, Albyn C...... 459 Kannan, Nandini...... 407 Kennel, Timothy...... 301 Jones, Bradley A...... 142, CE_03C Kao, Ming-Hung...... 36 Kennet, Joel...... 258 Jones, Byron...... 256 Kapani, Vinod...... 519 Kennickell, Arthur B...... 39 Jones, Galin L...... 251, 558 Kapat, Prasenjit...... 318, 562 Kenny, Peter B...... 104, 413 Jones, Michael...... 116 Kapatou, Aleka...... 73 Kensler, Jennifer...... 601 Jones, Mike...... 33 Kaplan, Daniel...... 509 Kenward, Michael G...... 136

262 JSM 2009 Index of Participants Name Session Name Session Name Session Kenyon, Anne E...... 420 Kim, Yang-Jin...... 380 Koning, Ruud...... 272 Kepner, William...... 532 Kim, Yongdai...... 351, 431 Konishi, Sadanori...... 423, 560, 562 Kerachsky, Stuart...... 108 Kimball, Sytske...... 532 Koopman, Siem Jan...... 212, 444, CE_23C Kerman, Jouni...... 77 Kimmel, Marek...... 200 Koopmeiners, Joseph S...... 115 Kern, John...... 427 Kimmel, Stephen...... 393 Kopciuk, Karen A...... 543 Kern, Lisa...... 75 Kincaid, Charles...... 329 Kopylev, Leonid...... 119 Kerr, Joshua...... 283 King, Dennis W...... 175, 592 Korhonen, Iikka...... 67 Kettermann, Anna E...... 440 King, Eileen...... 181 Koslowsky, Sam...... 70 Khalil, Umair...... 122, 319 King, Heather...... 277 Kosmidis, Ioannis...... 121 Khan, Dost M...... 319 King, Martin ...... CE_21C Kosorok, Michael... 53, 79, 93, 146, 197, 235, Khan, Salahuddin...... 564, 602 King, Robert...... 549 322, 385, 453, 521, 583 Khare, Meena...... 124, 167, 454 King, Susan...... 554 Kostanich, Donna...... 394 Khatry, Deepak B...... 446 Kingsbury, Nancy...... 7 Koti, Kallappa M...... 172, 429 Khinkis, Leonid A...... 430 Kinney, Satkartar...... 588 Kott, Phillip S...... 33, 154, 554 Khodursky, Arkady...... 378 Kipnis, Victor...... 511 Kottas, Athanasios...... 457, CE_27C Kiani, Mehdi...... 368 Kirgis, Nicole...... 6 Koudou, Angelo E...... 475 Kickham, Thomas...... 127 Kirkendall, Nancy...... 584 Koutsofios, Eleftherios C...... 47 Kidwell, Paul B...... 436 Kitsantas, Panagiota...... 438 Kowalski, Kenneth G...... 537 Kiefer, Nicholas M...... 392 Kleerup, Eric C...... 233 Kozlitina, Julia...... 473 Kiesl, Hans...... 167 Klein, Martin...... 268 Kpodonou, Isaac...... 130 Kilian, Lutz...... 86 Klein, Pamela M...... 109 Kraemer, Helena...... 75 Kim, Bumsu...... 431 Kleinman, Ken...... 530 Krafft, Manfred...... 507 Kim, Chansoo...... 524 Klerman, Jacob A...... 152, 309 Kraft, Peter...... 191 Kim, Chulmin...... 222 Klick, Joshua...... 130 Krafty, Robert...... 221 Kim, Daeyoung...... 29 Klunk, William E...... 467 Kramer, Barnett S...... 607 Kim, Donghoh...... 16 Knapp, Guido ...... CE_24C Kramlich, Gary...... 590 Kim, Dong-Yun...... 230, 601, 608 Knaub, James...... 596 Kravets, Nataliya...... 152 Kim, Grace...... 460 Knaup, Amy E...... 152 Krenzke, Tom...... 71 Kim, Hae-Young...... 475 Kneib, Thomas...... 42, 424 Kreuter, Frauke...... 6, 317 Kim, Heeyoung...... 423 Knofczynski, Greg...... 277 Krilov, Brian...... 516 Kim, Ho...... 116 Ko, Chia-Wen...... 333 Krishna, Arun...... 600 Kim, Hye-Kyoung...... 70 Ko, Feng-shou...... 528 Krishnamoorthy, Kalimuthu...... 29, 65, 113, CE_10C Kim, Hyun (Grace) J...... 460 Ko, Kyungduk...... 369, 527 Kriska, S. David...... 283, 287 Kim, Inyoung...... 116, 270, 278 Koch, Armin...... 252 Krivobokova, Tatyana...... 42 Kim, Jae-kwang...... 409 Kocherginsky, Masha...... 54 Kromrey, Jeffrey D...... 284 Kim, Jay H...... 440 Koehler, Megan...... 28 Kroner, Barbara L...... 420 Kim, Jay J...... 284, 513 Koepke, Christopher...... 127 Krotki, Karol...... 7, 284 Kim, Jessica (Jeongsook) L...... 26 Koglin, Joerg...... 377 Krug, Gerhard...... 173 Kim, Jinheum...... 380 Koh, Ohn Jo...... 467 Kryscio, Richard J...... 380 Kim, Jongphil...... 213 Kohn, Robert J...... 37, 544 Kuhn, William...... 313 Kim, Kion...... 523 Kohnen, Christine...... 284 Kuiper, Shonda...... 418 Kim, Kyoungmi...... 436 Kojadinovic, Ivan...... 587 Kukuyeva, Irina...... 4, 170 Kim, Kyung Sook...... 528 Kokkotos, Fotios...... 99 Kulasekera, Karunarathna...... 370 Kim, Kyunga...... 373 Kokoszka, Piotr...... 319 Kumar, Arun...... 565 Kim, Kyu-Seong...... 71 Kolata, Gina...... 294 Kundu, Debasis...... 407, 586 Kim, Min Kyung...... 431 Kolenikov, Stanislav...... 69, CE_29C Kung, Howard...... 570 Kim, Mina...... 38 Koli, Rajesh E...... 398 Kuo, Hsun-Chih...... 607 Kim, Mi-Ok...... 159, 589 Kolm, Paul...... 425, 440 Kuo, Lynn...... 105 Kim, Myung Suk...... 477 Konda, Sreenivas...... 431 Kuo, Yong-Fang...... 387, 472 Kim, Nak-Kyeong...... 28 Kondratovich, Marina V...... 160 Kurum, Esra...... 371 Kim, Namhee...... 221 Koneff, Mark...... 264 Kushler, Robert...... 283 Kim, Sungduk...... 105, 312 Kong, Lan...... 276 Kushwaha, Tarun...... 302 Kim, Sungil...... 166 Kong, Maiying...... 325 Kutner, Michael...... 465 Kim, Sun-Woong...... 99 Kong, Nan L...... 286 Kuwanda, Locadiah...... 25 Kim, Wonkuk...... 213 Kong, Xiangrong...... 382

Washington, DC 263 Index of Participants Name Session Name Session Name Session Kuznetsov, Dmitri V...... 70, 364 Lavallée, Pierre...... 421 Lee, Yoonkyung...... 130, 572 Kuznetsova, Olga M...... 27, 123, 175 LaVange, Lisa M...... 43, 108 Lee, Yung-Seop...... 379 Kwan, Mei-Po...... 469 Lavergne, Christian...... 130 Leeb, Hannes...... 452 Kwiat, Aliza...... 301 Lavielle, Marc...... 400 Leek, Jeffrey...... 607 Kwok, Peter K...... 421 Lavrakas, Paul J...... 144, 216 Leggett, Jana A...... 405 Kwon, Deukwoo...... 132, 225 Lawson, Andrew B...... 292, 398 Leiby, Benjamin...... 222 Kyle, Tonja M...... 19 Lawson, John...... 477 Lei-Gomez, Quanhong...... 9 Laaksonen, Seppo...... 349 Lazar, Nicole...... 105 Lejeune, Olivier...... 380 Lababidi, Samir...... 361 Le, Dai-Trang...... 281 Leman, Scotland...... 77, 593 Laber, Eric...... 401 Leaderer, Brian P...... 422 Leming, Carol...... 165 Lacey, Michelle...... 609 Leary, Cindy S...... 532 Lemos, Ricardo T...... 500 Lachenbruch, Peter A...... 386, 464 Lebanon, Guy...... 10, 436 Lemus, Hector...... 34 Lachin, John M...... 412 Leblanc, Alexandre...... 120 Lenk, Peter...... 77, 364, 376 LaCombe, Jason...... 132 LeBlanc, Michael...... 8 Lennox, Kristin P...... 511 Ladiray, Dominique...... 104, 261 LeBlond, David J...... 233 Lensing, Shelly...... 380 Ladyzhets, Vladimir...... 610 Lee, Alan J...... 217, 380 Lent, Janice...... 140 Laeven, Roger...... 369 Lee, Ann...... 296 Lenth, Russell V...... 459, 530 Lafferty, William...... 158 Lee, Beom...... 270 Lentz, Katie...... 435 LaFleur, Bonnie...... 530 Lee, Chinsan...... 29, 370 Lenzenweger, Mark F...... 439 Lahiri, Kajal...... 267 Lee, Herbert...... 21, 457 Leon, John...... 122 Lahiri, Parthasarathi...... 106, 248 Lee, Hyang Min...... 436 Leon, Ramon V...... 334 Lahiri, Soumendra N...... 68, 416 Lee, Hyunshik...... 585 Leonard, Micheal J...... 38, 376 Lai, Yinglei...... 373 Lee, Hyunsook...... 199, 271 Leone, Jason...... 461 Lakshminarayanan, Mani Y...... 23, 358 Lee, Jaechoul...... 527 Leonhardt, David...... 352 Lam, K. F...... 433 Lee, Jaeheon...... 368 Lepkowski, James...... 6 Lambert, Christophe G...... 406 Lee, Jaehoon...... 373 Lesser, Lawrence M...... 69 Lambert, Philippe...... 360 Lee, Jaeyong...... 278 Lesser, Virginia...... 317 Lan, Flora...... 284 Lee, James...... 233 Lessler, Judith...... 347 Lan, Gordon...... 503 Lee, Jeannette Y...... 380 Lessner, Lawrence...... 34 Lan, Kuang-Kuo (Gordon)...... 27, 87 Lee, Jeong-Ran...... 166 Leurgans, Sue...... 419 Lan, Ling...... 76, 542 Lee, Jihey...... 64 Leve, Jay H...... 144 Lancaster, Mark J...... 432 Lee, Jimin...... 268 Levin, Ronnie...... 540 Landman, Bennett A...... 318 Lee, Juhee...... 278 Levina, Elizaveta...... 138, 170, 354 Landrum, Mary Beth...... 343 Lee, Jungwha...... 315 Levine, Michael...... 15 Landwehr, James...... 271 Lee, Kichun S...... 220, 566 Levy, Deborah L...... 439 Lange, Christophe...... 96, 406, 470 Lee, Kuo-Jung...... 132 Levy, Martin...... 130, 531 Lange, Kenneth...... 135 Lee, Kwan R...... 473, 599 Lew, Robert...... 233 Langer, Gary...... 144 Lee, Kyongryun...... 13 Lewis, Stephen A...... 313 Lansky, David...... 233 Lee, Linda S...... 195, 450 Lewis, Susan...... 214 Lao, Chang S...... 204 Lee, Meesook...... 65 Lewis, Taylor...... 284 Lapidus, Jodi...... 162 Lee, Mei-Ling Ting...... 323 Li, Bin...... 31 Larget, Bret...... 311 Lee, Mihee...... 354 Li, Bing...... 138, 194, 380, 431, 605 Lark, R. Murray...... 137 Lee, Minjae...... 276 Li, Bo...... 15, 203, 366 Larkina, Maria...... 404 Lee, Robin...... 216 Li, Bogong T...... 515 LaRocca, Sarah...... 119 Lee, Sang-Han...... 101, 353 Li, Caixia...... 460 LaRochelle, Brenda...... 75 Lee, Shih-Yuan...... 168 Li, Caiyan...... 13, 428 Larocque, Denis...... 166 Lee, Shing...... 552 Li, Chin-Shang...... 424 Larsen, Klaus G...... 111 Lee, Shiowjen...... 307, 572 Li, Erning...... 523 Larsen, Michael D...... 216, 248, 489 Lee, Stephen M.S...... 431 Li, Fan...... 151, 427 Larson, Jessica L...... 225 Lee, Sunghee...... 124, 317, 454 Li, Fang...... 110 Latimer, Betty...... 326 Lee, Tae-Hwy...... 344 Li, Gang...... 233 Laubenbacher, Reinhard...... 201 Lee, Taesuk...... 415 Li, Gang...... 249 Laud, Purushottam W...... 449 Lee, Taewook...... 515 Li, Gang...... 429 Laureti, Tiziana...... 38, 326 Lee, Thomas C.M...... 16, 254 Li, Guodong...... 122 Lauria, Mario...... 233 Lee, Yeonok...... 611 Li, Guohui...... 528

264 JSM 2009 Index of Participants Name Session Name Session Name Session Li, Heng...... 307, 592 Liang, Yulan...... 436 Liu, Anna...... 157 Li, Hong...... 65 Liao, Dan...... 76, 357 Liu, Benmei...... 55 Li, Hongfei...... 32 Liao, Hsini...... 204 Liu, Chengcheng...... 569, 606 Li, Hongzhe...... 296, 428, 562 Liao, Jason...... 78, 325, 481 Liu, Ching-Ti...... 96, 411 Li, Huilin...... 373 Liao, Shu-Yu...... 607 Liu, Chunling...... 600 Li, Jane...... 365 Liao, Youlian...... 421 Liu, Chunxu...... 320 Li, Jia...... 124 Lieberman, Jeffrey...... 569 Liu, Dacheng...... 172 Li, Jia...... 436 Liebner, Jeffrey...... 457 Liu, Dandan...... 426 Li, Judy X...... 274 Liechty, John C...... 602 Liu, Danping...... 528 Li, Jun...... 383 Lieli, Robert P...... 150, 212 Liu, Fang...... 162 Li, Ker-Chau...... 341 Lii, Keh-Shin...... 66, 610 Liu, Fang...... 79 Li, Lei...... 257 Lim, Beng-Chong...... 293 Liu, Fei...... 151, 225 Li, Lin...... 28 Lim, Chae Young...... 203 Liu, Frank...... 324 Li, Lixin...... 422 Lim, Johan...... 101 Liu, Fushang...... 267 Li, Mei...... 301 Lima, Luiz Renato...... 119 Liu, G. Frank...... 429 Li, Min...... 231 Lin, Anli...... 36 Liu, Hao...... 552 Li, Ming...... 223 Lin, Carol Y...... 217 Liu, Jiajun...... 408 Li, Mingfei...... 119 Lin, Chihche...... 375 Liu, Jingchen...... 569 Li, Minglu...... 423 Lin, Danyu...... 433 Liu, Jinnan...... 225 Li, Mingyao...... 406 Lin, Feng-Chang...... 117 Liu, Jun...... 257 Li, Mingyu...... 522 Lin, Haiying...... 103 Liu, Jun M...... 130 Li, Muyi...... 515 Lin, Herb...... 148 Liu, Jun S...... 378, 495 Li, Ning...... 103, 307 Lin, Hung-Mo...... 380 Liu, Junfeng...... 322 Li, Pei...... 278 Lin, Ji...... 437 Liu, Kenneth...... 429, 430 Li, Pengfei...... 198 Lin, Lanjia...... 123 Liu, Li...... 529 Li, Runze...... 94, 159, 523 Lin, Sherry...... 24 Liu, Lingyun...... 79 Li, Ruosha...... 603 Lin, Shili...... 25, 470 Liu, Lyrica Xiaohong...... 370 Li, Shelby...... 103 Lin, Thomas...... 233 Liu, May X...... 478 Li, Shuzhen...... 356 Lin, Tsung-I...... 170 Liu, MingTe...... 380 Li, Ta-Hsin...... 565 Lin, Wei-Jiun...... 134, 470 Liu, Nan...... 284 Li, Timothy Bogong...... 515 Lin, Xihong...... 51, 64, 87, 146, 277, 467, 548 Liu, Peng T...... 315 Li, W...... 525 Lin, Xiwu...... 473, 599 Liu, Rong...... 325 Li, Wei...... 67, 134 Lin, Xue...... 526 Liu, Rong...... 479 Li, Wen...... 599 Lin, Yin...... 29 Liu, Shih-Hua...... 380 Li, Xianbin...... 233 Lin, Yong...... 322 Liu, Shuang...... 532 Li, Xiaodong...... 30, 569 Lindquist, Martin...... 101, 221 Liu, Song...... 350 Li, Xiaoming...... 280, 324 Lindsay, Bruce G...... 29, 30, 65 Liu, Tao...... 569 Li, Yali...... 440 Lindsey, Matthew...... 415 Liu, Tiebin...... 555 Li, Yan...... 257 Ling, Xiang...... 233 Liu, Wei...... 36 Li, Yehua...... 371, 523 Link, Michael...... 512 Liu, Wei...... 375 Li, Yi...... 426 Linkletter, Crystal...... 101 Liu, Wei-min...... 362 Li, Yimei...... 377 Linse, Greta M...... 406 Liu, Wenbin...... 433 Li, Yimei...... 52, 101 Linton, Oliver...... 119 Liu, Xiang...... 112 Li, Yingfu F...... 214 Lio, Yuhlong...... 603 Liu, Xijian Liu...... 301 Li, Yingxing...... 212 Lipkovich, Ilya A...... 78, 163 Liu, Yan K...... 106 Li, Yisheng...... 548, 552 Lipner, Rebecca S...... 285 Liu, Yi...... 430 Li, Yue...... 285 Lipovetsky, Stan...... 70 Liu, Ying...... 532 Li, Zhaohai...... 67, 284 Lippman, Marc E...... 305 Liu, Yufeng...... 401, 423, 436, 453, 494 Li, Zhiguo...... 45 Lipsitz, Stuart...... 139, 320 Liu, Yushi...... 572 Liakhovitski, Dimitri...... 70, 598 Litman, Heather...... 419 Liu, Zhe...... 135 Liang, Faming...... 105, 372 Littell, Ramon...... 222 Liu, Zhenyu...... 586 Liang, Feng...... 318, 582 Little, Roderick J.A...... 46, 99, 171, 357, 380, Lo, Simon...... 130 Liang, Hua...... 112, 157, 243, 400, 566, 603 409, 437 Lobach, Iryna...... 411 Liang, Kun...... 372 Liu, Aiyi...... 67, 115, 359, 600 Lobo, A. Peter...... 207 Liang, Kung-Yee...... 520 Liu, An...... 103 Lochner, Kimberly...... 152, 284, 355

Washington, DC 265 Index of Participants Name Session Name Session Name Session Lock, Dennis F...... 443 Lugosi, Gabor...... 402 Maia, Manuela...... 421 Lock, Kari...... 427 Lum, Kirsten J...... 312 Maisog, Jose...... 383 Lock, Patti F...... 367 Lum, Kristian...... 132 Maiti, Tapabrata...... 327, 379, 492 Lock, Robin H...... 465, 597 Luman, Elizabeth T...... 567 Maitland, Aaron...... 6 Lockhart, Richard...... 157 Lumley, Thomas...... 226, 419, 437 Maitra, Ranjan...... 416, 594 Lockwood, J. R...... 354 Lunagomez, Simon...... 201 Maity, Arnab...... 467 Loeb, Peter...... 105 Lund, Bruno P...... 414 Majumadar, Ananda...... 61 Loecher, Markus...... 431 Lund, Sigrun H...... 526 Majumdar, Anandamayee...... 61 Lohr, Sharon...... 127, 357, 573 Luo, June...... 522 Majumdar, Dibyen...... 36 Loi, To-ha...... 562 Luo, Junxiang...... 219 Makambi, Kepher H...... 440 Lombard, Fred...... 120 Luo, Li...... 254, 473 Maki, Dan...... 22 Lombardía, María J...... 248 Luo, Ruiyan...... 372 Makuc, Diane M...... 579 London, Wendy...... 518 Luo, Sheng...... 254 Malec, Donald...... 114 Long, Kenneth L...... 206 Luo, Xianghua...... 426 Malgwi, Charles A...... 130 Long, Qi...... 581 Luo, Xiaohui...... 429 Malik, Waqas A...... 227 Long, Stephanie...... 601 Luo, Zhehui...... 417, 425 Mallick, Bani K.... 62, 100, 118, 139, 225, 302, Long, Yongxian...... 433 Lupi, Claudio...... 122 353, 374, 511, 559 Longnecker, Matthew...... 116 Lupinacci, Lisa...... 324 Mallick, Madhuja...... 529 Longnecker, Michael...... 605 Lurie, Nicole...... 458 Malone, Christopher J...... 336 Looney, Stephen W...... 316 Lussier, Robert...... 321 Malthouse, Edward C...... 364 Lopes, Hedibert F...... 141, 151, 414 Luta, George...... 383 Man, Ka S...... 122, 570 Lopez-Pintado, Sara...... 501 Lv, Jinchi...... 51, 138 Manage, Ananda...... 133, 283 Lorenz, Frederick O...... 216, 281 Lyberg, Lars...... 207 Mandal, Abhyuday...... 21, 36, 214 LoRusso, Patricia M...... 54 Lyles, Robert H...... 217, 315, 437 Mandel, Igor...... 215 Losina, Elena...... 233, 440 Lynch, Miranda L...... 132 Mandelbaum, Avishai...... 432 Lott, Juanita Tamayo...... 12 Lynn, Lorna A...... 285 Manderscheid, Ronald...... 209 Lou, Jianying...... 532 Lystig, Theodore C...... 233 Mandrekar, Jayawant...... 417 Loudermilk, Clifford...... 301 Lytras, Demetra...... 129 Mandrekar, Sumithra...... 493 Louis, Germaine M...... 312 Ma, Changxing...... 379 Manning, Alisa...... 411 Louis, Thomas A...... 158 Ma, David...... 562 Manning, Chris...... 39, 165 Love, Tanzy...... 200, 568 Ma, Harry...... 602 Mannino, Frank...... 1, 102, 311, 476 Low, Ronald...... 285 Ma, Mi-Chia...... 110 Manolopoulou, Ioanna...... 151 Loy, Adam...... 271 Ma, Ping...... 289 Manski, Charles F...... 317 Lu, Bo...... 216 Ma, Shuangge...... 146, 401, 603 Manski, Richard...... 273 Lu, Chengxing...... 368, 600 Ma, Shujie...... 30 Mantel, Harold...... 33 Lu, I-Li...... 245, 456 Ma, Xiwen...... 286 Mao, Changxuan...... 70, 373 Lu, Jun...... 314, 410, 506 Ma, Yan...... 25, 504 Mao, Xuejing...... 163 Lu, Kaifeng...... 172, 224 Ma, Zhiliang...... 270, 318, 436 Maples, Jerry J...... 246, 327 Lu, Lu...... 248 Ma, Zongming...... 318 Maplethorpe, Charles...... 26 Lu, Naiji...... 419 Maadooliat, Mehdi...... 379 Maranzano, Coire J...... 565 Lu, QiQi...... 601 Maathuis, Marloes H...... 542 Maravall, Agustin...... 444 Lu, Ruixiao...... 115 Macaro, Christian...... 414 Marazzi, Mario...... 321 Lu, Shu-Ya...... 379 MacEachern, Steven N...... 130, 278, 582 Marchette, David...... 72, 293, 319 Lu, Wenbin...... 548 MacEachren, Alan...... 539 Marchionni, Luigi...... 340 Lu, Yiling...... 433 Machlin, Steven...... 60 Marcus, Bess...... 295 Lu, Ying...... 162, 249, 460 Macklin, Eric A...... 377 Mardekian, Jack...... 17 Lu, Ying...... 284 MacNab, Ying...... 292 Marfani, Erum...... 286 Lu, Yun...... 17, 204 MacNeil, David A...... 114 Margosches, Elizabeth H...... 540 Lu, Zheng...... 34 Madden, Laurence V...... 320 Marin, Jean-Michel...... 416, 455, 495 Luan, Jingyu (Julia)...... 429 Madigan, David...... 3, 37 Marina, Meila...... 10 Lubich, Antoinette...... 571 Madlensky, Lisa...... 561 Marinac-Dabic, Danica...... 342 Luca, Diana...... 296 Mafafo, Miranda...... 12 Marini, Marco...... 261 Lucas, Joseph E...... 304, 372 Mah, Jeng...... 204 Marjoram, Paul...... 574 Lucero, Jason...... 321 Mahnken, Jonathan...... 233 Markova, Denka...... 437 Ludlum, Melissa...... 39 Mai, Yabing...... 324, 599 Marley, Jason D...... 596

266 JSM 2009 Index of Participants Name Session Name Session Name Session Marlow, Nicole M...... 285 Mazzi, Gian Luigi...... 63, 104 Mehrhoff, Jens...... 104 Marnich, Mark...... 283 Mbata, Ugochukwu...... 284 Mehrotra, Ateev...... 226 Maroulas, Vasileios...... 382 McBean, Marshall A...... 278 Mehrotra, Devan V...... 211, 224, 324, CE_28C Marron, J. Steve...... 220, 354, 385, 436, 499 McCaffrey, Daniel F...... 458 Mehta, Shraddha S...... 374 Marshall, J. Brooke...... 324 McCaig, Linda...... 466 Meier, Kristen L...... 160 Marske, Robert...... 206 McCalley, James D...... 516 Meier, Lukas...... 580 Martens, David...... 507 McCarthy, Jaki...... 18, 365, 554 Meikle, Joanne...... 567 Martienssen, Robert A...... 574 McClellan, Elizabeth...... 233 Meila, Marina...... 95 Martin Jimenez, Jacinto...... 432 McClintic Tanenbaum, Erin...... 190 Meisner, Michele...... 435 Martin, Begona...... 128 McClintock, Scott...... 111 Mejia, Gloria...... 315 Martín, Begoña...... 205 McClintock, Shannon K...... 380 Mekel-Bobrov, Nitzan...... 362 Martin, Clyde...... 132, 531 McCloskey, Deirdre N...... 153 Melnykov, Igor...... 432 Martin, Donald E.K...... 72, 219, 522 McClure, David...... 111 Melnykov, Volodymyr...... 416 Martin, Jared L...... 283 McClure, Leslie...... 322 Melo, Luis...... 122 Martin, Robert F...... 132 McCool, John...... 383 Mendelssohn, Roy...... 500 Martin, Ryan...... 200 McCormack, Donald...... 98 Mendez, Guillermo...... 357, 573 Martinez, DeAndrea...... 285 McCormick, Tyler H...... 37, 284, 423 Meng, Chen...... 594 Martinez, Rochelle (Shelly) W...... 355 McCracken, Michael...... 303 Meng, Shawn X...... 35 Martinez, Shelly W...... 332 McCranie, Ann...... 192 Meng, Xiao-Li...... 16, 46, 274, 352 Martinez, Wendy... 40, 85, 241, 441, 491, 580 McCullough, Melvin J...... 365 Mengersen, Kerrie...... 37, 132 Martínez-Gómez, Elizabeth...... 383, 565 McDonald, Gary C...... 77 Menguc, M. Pinar...... 120 Martinsen-Burrell, Neil...... 383 McDonald, James B...... 521, 570 Menius, Alan...... 408 Marx, Brian D...... 42 McDonald-Johnson, Kathleen M...... 104 Mense, Allan T...... 58 Marx, David...... 562 McDonough, Shannon...... 380 Mentré, France...... 400 Marzjarani, Morteza...... 408, 531 McElduff, Fiona...... 270 Mercurio, Jeannine M...... 205 Mascha, Edward J...... 211, 433 McElroy, Tucker S...... 104, 205, 261, 413, Merikangas, Kathleen R...... 96 Masferrer, Claudia P...... 127 444, 510 Merl, Daniel...... 304 Masken, Karen C...... 420, 567 McGee, John...... 201 Mesenbourg, Thomas L...... 345 Mason, Paula...... 596 McGee, Monnie...... 233 Messer, Chris S...... 556 Mason, Robert L...... 120, 381 McGlothlin, Anna...... 233 Messer, Karen...... 322, 561 Massam, Helene...... 225 McGlynn, Elizabeth A...... 226 Meszaros, Peter...... 205 Massell, Paul B...... 513 McGrath, David...... 554 Metter, E. Jeffrey...... 440 Massie , Tammy...... 79 McGready, John...... 36 Meyer, Mark J...... 470 Mathew, Thomas ...... CE_10C McKay, Lisa...... 422 Meyer, Mary C...... 370 Mathis, Chester A...... 467 McKeague, Ian...... 171, 249, 382, 501 Meyer, Perry...... 313 Mathur, Sunil...... 474 McKenzie, John...... 161, 176 Meyer, Peter...... 513 Matis, James...... 498 McKenzie, Loretta A...... 519 Meyers, Adam...... 149 Matov, Vadim...... 436 McLaren, Craig...... 205 Miao, Huiping...... 424 Matsouaka, Roland A...... 115 McLeish, Don...... 392 Miao, Weiwen...... 57 Matsuo, Hisako...... 127 McManus, Tim...... 19 Miao, Xiaopeng...... 34 Matteson, David S...... 415 McMenamin, Terence M...... 551 Michaelson, Gregory...... 469 Matthes, Nikolas...... 285 McMichael, Joseph P...... 71, 512 Michailidis, George...... 16, 31, 74, 138, 354, Matthew, Nelson R...... 359 McNerney, Victoria...... 33 538, 595 Matthews, Abigail...... 135 McNiece, Karen...... 440 Michel, Denis...... 472 Matthews, Gregory...... 14 McNutt, Louise-Anne...... 19 Michelson, Diane K...... 447 Mauromoustakos, Andy...... 231 McQueen, Matthew B...... 96 Miclaus, Kelci J...... 373 Maynard, Alex...... 150 McRae, Scott...... 103 Miecznikowski, Jeffrey C...... 350 Maynard, Jacinth A...... 604 McRoberts, Ronald...... 137 Mietlowski, William L...... 79, 493 Mayo, Matthew S...... 233, 323 McSherry, Frank...... 193 Milan, Lynn...... 420 Mayr, Johannes...... 130 Mealli, Fabrizia...... 427 Milham, Michael P...... 101 Mayrink, Vinicius D...... 372 Medeiros, Marcelo C...... 344 Millar, Anne M...... 373 Mays, Mary...... 188, 467 Mee, Robert W...... 214, 368 Miller, Darcy A...... 18 Mazumdar, Madhu...... 25 Meeden, Glen...... 284, 309 Miller, David...... 445 Mazumdar, Sati...... 382 Meeker, William Q...... 245, 516, CE_18C Miller, Donna...... 355 Mazur, Mark...... 567 Meerschaert, Mark M...... 203 Miller, John...... 233

Washington, DC 267 Index of Participants Name Session Name Session Name Session Miller, John J...... 607 Moore, Kevin...... 128 Mundfrom, Daniel J...... 531 Miller, Kent...... 284 Moore, Leslie M...... 499 Muñoz García, Alberto...... 59 Miller, Michael...... 228 Moore, Page C...... 282, 380 Munoz Maldonado, Yolanda...... 380 Miller, Philip...... 64 Moore, Renee...... 607 Munson, Ashlyn H...... 380 Miller, Stephen M...... 114, 551 Morales, Carlos J...... 451 Murakami, Elaine...... 207 Mills, Gordon B...... 433 Morales, Domingo...... 248 Murchison, Stephen...... 244 Miner, Whitney B...... 231 Morales, Mario A...... 227 Murphy, James R...... 514 Minhajuddin, Abu...... 380 Moreno, Jerry...... 363, 514 Murphy, Patrick...... 601 Minin, Vladimir...... 380 Moreno-Kayser, Javier...... 383 Murphy, Susan...... 263, 401, 568 Minna, John...... 380 Morgan, Carolyn B...... 74, 565 Murphy, Teri J...... 69 Minnotte, Michael C...... 424 Morgan, Charity J...... 439 Murphy, Whitney...... 421 Min-Seok, Kwon...... 373 Morgan, Kristin D...... 74 Murray, Danielle...... 364 Minter, Thomas C...... 436 Morgan, Morris H...... 74, 565 Murray, David M...... 75, 108, 233 Mira, Antonietta...... 455 Mori, Motomi...... 168, 322 Murray, Susan...... 370 Miranda, Javier...... 588 Morley, James...... 122 Musal, Rasim M...... 202 Miranda, Marie Lynn...... 49, 422 Morlock, Laura...... 158 Muse, Spencer V...... 311 Miratrix, Luke W...... 459 Morris, Carl N...... 272 Musser, Bret...... 172, 224, 429, 476 Mirel, Lisa B...... 124 Morris, Jeffrey S...... 350, 449 Myers, Ashley...... 461, 540 Mirkin, Boris...... 215 Morris, Max...... 228 Myers, Jessica A...... 158 Mitchel, Yale B...... 377 Morris, Tracy...... 286 Myers, Kary...... 499 Mitchell, James...... 63 Morrison, Carl...... 350 Myers, Leann...... 440, 609 Mitchell, Matthew...... 572 Morrison, Peter A...... 458 Myers, Philip E...... 32 Mitra, Ritendranath...... 373 Morton, Sally C...... 234, 386 Myers, Susan L...... 592 Mitra, Robin...... 427 Moseley, Scott...... 80 Myhre, Janet...... 577 Miyahara, Sachiko...... 439 Mosher, William...... 6 Myrskyla, Pekka...... 349 Mo, Qianxing...... 372 Moulines, Eric...... 455 Nabel, Elizabeth G...... 393 Moauro, Filippo...... 63 Moulton, J. David...... 247 Nachtsheim, Christopher...... 142, 525 Mocko, Megan E...... 487 Moussa, Amal...... 127 Nadeau, Claude...... 154 Modarres, Reza...... 546, 586 Moustakides, George V...... 608 Naftel, David C...... 592, CE_14C Modur, Sharada...... 380 Moye, Lemuel A...... 380 Nagaraja, Haikady N...... 170, 601 Moe, Wendy W...... 118, 184 Mu, Yunming...... 159 Nagarajan, Radhakrishnan...... 13 Mogg, Robin...... 324 Müller, Hans-Georg...... 501 Nahhas, Ramzi W...... 440 Mogun, Helen...... 20 Müller, Peter...... 8, 143, 262, 296, 548 Nai-Hua, Chen...... 118 Moisen, Gretchen...... 264 Müller-Harknett, Ursula U...... 112, 370 Naik, Dayanand N...... 35 Moldoff, Michael...... 114 Münnich, Ralf T...... 248 Naiman, Daniel Q...... 526 Molenberghs, Geert...... 136, 224, CE_13C Mueth, Nicole...... 436 Nair, Vijay...... 383 Molina, Isabel...... 248 Muhlbaier, Lawrence H...... 195, 450 Nakao, Aki...... 362 Molina, Jr., Angel L...... 610 Muirhead`, Robb...... 26 Nam, Chung Mo...... 380 Molony, Julia T...... 440 Mukerjee, Sayan...... 331 Nam, Jun-mo...... 110 Mondal, Anirban...... 62 Mukherjee, Bhramar...... 91, 100, 445 Nan, Bin...... 45, 371, 380, 562 Monico, Chris...... 531 Mukherjee, Chiranjit...... 414 Nandram, Balgobin...... 62, 246 Monjardin, Pedro E...... 478 Mukherjee, Sayan...... 201, 445 Nangia, Narinder ...... CE_21C Monroe, Eric...... 58 Mukhi, Vandana...... 103 Napelenok, Sergey L...... 422 Monsell, Brian C...... 104, 128, 129, 444 Mukhopadhyay, Nitai D...... 471 Naphtali, Zvia...... 517 Montaquila, Jill...... 421 Mukhopadhyay, Purna...... 130 Nardi, Yuval...... 193 Montgomery, Alan...... 396 Mulcahy, Timothy M...... 490 Naselaris, Thomas...... 341 Montgomery, Douglas C...... 142, CE_03C Mule, Vincent...... 114 Nash, Maliha S...... 532 Moodie, Erica E.M...... 581 Mulekar, Madhuri S...... 532, 533 Natarajan, Loki...... 561 Moody, James...... 192 Mulle, Jennifer...... 406 Natarajan, Sundar...... 320 Moon, Hyejung...... 375 Muller, Keith E...... 108, 380, 433, 529 Nateghi, Roshanak...... 313 Moons, Elke A...... 269 Mullooly, John...... 111 Naughton, III, Thomas J...... 245 Moore, Danna L...... 284 Mulrow, Edward...... 284, 479 Naus, Joseph I...... 517 Moore, Dirk F...... 379 Mulrow, Jeri M...... 167, 226, 345 Navarro, Alfredo...... 207 Moore, Eulus...... 284 Mulry, Mary H...... 114, 479 Navarro-Moreno, Jesus...... 383 Moore, Kelly...... 581 Munasinghe, Wijith P...... 233 Navidi, William...... 380

268 JSM 2009 Index of Participants Name Session Name Session Name Session Ndum, Edwin A...... 608 Noorbaloochi, Siamak...... 427 Olkin, Ingram...... 97 Neath, Andrew...... 162 Nord, Roy...... 420, 567 Olshen, Adam B...... 406 Neath, Ronald...... 443, 558 Nordheim, Erik...... 100 Olson, Douglas...... 567 Nebebe, Fassil...... 381, 524 Nordman, Dan...... 203, 366 Olson, Kristen...... 317 Neeley, E. Shannon...... 372 Nordmoe, Eric...... 563 Olsson, Jimmy...... 455 Neerchal, Nagaraj K...... 140, 368 Norman, Greg...... 421 Olteanu, Denisa A...... 368 Negrin, Itay...... 598 Normand, Sharon-Lise T...... 342 O’Malley, A. James...... 458 Nelson, Charles T...... 273 Norris, Dawn R...... 284 O’Malley, James...... 89 Nelson, Elizabeth C...... 548 North, Stephen C...... 47 Ombao, Hernando...... 15, 101, 566 Nelson, Jennifer...... 111 Norton, Harry J...... 316 O’Muircheartaigh, Colm...... 421, 512 Neriishi, Kazuo...... 440 Norton, Jonathan...... 325 Onar-Thomas, Arzu...... 54 Neslehova, Johanna...... 587 Norton, Julia A...... 283 Ondrich, Jan...... 369 Nestler, Scott T...... 590 Norton, Robert...... 233 O’Neil, Bert...... 68 Nettleton, Dan...... 291, 372, 379 Noubary, Reza D...... 283 O’Neill, Grace...... 206 Neugebauer, Romain...... 581 Novak, Natalija...... 111 ONeill, Grace E...... 18 Neuhaus, John...... 45, 196 Novak, Scott...... 472 O’Neill, Robert...... 252 Neustifter, Benjamin...... 35 Novick, Steven...... 325 Ooms, Marius...... 212 Neuwirth, Erich...... 88 Nugent, Rebecca...... 113, 416 Opara, A. I...... 284 Nevius, Anna B...... 358 Nuriddin, Terry...... 106 Oppenheimer, Leonard...... 43 Newman, Sue...... 230 Nussbaum, Barry D...... 540 Opsomer, Jean...... 185, 246, 492, 573 Newton, H. Joseph...... 189 Nusser, Sarah...... 365, 404 Oral, Evrim...... 99 Newton, Michael A...... 428 Nychka, Douglas...... 203, 247, 334 Oranje, Andreas...... 154 Ng Boyle, Linda...... 508 Nyirabahizi, Epiphanie...... 73 Ord, J. Keith...... 161 Ng, Hon Keung (Tony)...... 586 Oakley, Jeremy...... 348 Organo, Catherine...... 601 Ng, Moh-Jee C...... 233 Obenchain, Robert...... 263, 464 Orris, J. Burdeane...... 283 Ng, Raymond...... 609 O’Brien, John D...... 311 Ortiz, Anna Maria...... 321 Ng, Serena...... 244 O’Brien, Ralph G...... 589 Orwoll, Eric...... 232 Ng, Tie-Hua...... 591 O’Brien, Sean M...... 343 Osborne, Jason...... 467 Ngo, Long H...... 601 O’Colmain, Benita...... 596 Osburn, Jane G...... 173 Nguyen, Danh...... 276, 277 Odei, James B...... 218 Osgood, Daniel...... 117 Nguyen, Hoang...... 439 O’Donnell, Sharon I...... 208 Osman, Muhtarjan...... 548 Nguyen, Nganha...... 114 Ogden, R. Todd...... 353 Ostrouchov, George...... 180, 245, 334, 485 Nguyen, Thuan...... 492 Ogden, Todd...... 189, 353, 501 Ostrovnaya, Irina...... 406 Nguyen, Xuanlong...... 432 Ogenstad, Stephan...... 417 Osypuk, Theresa L...... 472 Ni, Shawn...... 77 Ogle, Kiona...... 366, 524 Othus, Megan...... 426 Nicewander, David...... 476 Ogunbo, Samuel...... 285 Otrok, Christopher...... 86 Nicholas, Gabriel...... 380 Ogundeji, Rotimi...... 284 Otsu, Taisuke...... 150 Nichols, Thomas E...... 76 Ogunjimi, Benson...... 380 Ott, Jurg...... 135 Nick, Todd G...... 589 Oh, Cheongeun...... 164 Ottoy, Jean-Pierre...... 112, 609 Nie, Hui...... 380 Oh, Dong-Yop...... 521 Ouyang, Peter...... 429 Nie, Kun...... 476 Oh, Hee-Seok...... 16, 166, 376 Owen, Art B...... 341 Nielsen, Jason D...... 157, 400 Oh, Jennifer...... 125 Owens, Brett...... 590 Nielson, Carrie...... 232 Oh, Sohee...... 373 Owyang, Michael...... 150 Niemi, Jarad...... 72, 141 Oh, Sunghee...... 609 Owzar, Kouros...... 572 Ning, Jing...... 552 O’Hair, Joel...... 221 Ozonoff, Al...... 34, 471 Ninomiya, Yoshiyuki...... 431 O’Hara, Brett...... 114 Ozturk, Omer...... 586 Niu, Xiaoyue...... 156 Ohman Strickland, Pamela A...... 78 Paddock, Susan.. 82, 158, 179, 238, 333, 480 Niu, Yue...... 223 Okabayashi, Saisuke...... 560 Pagano, Marcello...... 471 Njoh, Linda...... 130 Okafor, Ray...... 284 Page, Garritt L...... 37 Nkurunziza, Severien...... 130, 475 Okoro, Ephraim...... 39 Pahwa, Punham...... 217 Nobel, Andrew...... 401 Okosun, Ike S...... 555 Paige, Robert...... 68 Noble, Robert...... 525 Olalude, Adegbenga...... 284 Paik, Minhui...... 284 Noe, Douglas A...... 410 Oleson, Jacob J...... 2, 450 Pajewski, Nicholas M...... 449 Noguchi, Kimihiro...... 275 Oliveira, Maristela D...... 132 Pak, Youngju...... 25 Noone, Anne-Michelle...... 222, 436 Oliver, Broderick...... 479 Pakzad, Shamim...... 516

Washington, DC 269 Index of Participants Name Session Name Session Name Session Palaniappan, Latha...... 75 Pasternak, Richard C...... 377 Peter, Hall...... 145 Palm, Franz C...... 122 Patel, Anand...... 233 Peters, Kay...... 507 Palmer, Jeffrey...... 446 Patel, Nitin R...... 102, 446 Peters, Tim...... 562 Pals, Sherri...... 560 Patel, Rakhee D...... 471 Petersen, Janne...... 111 Palta, Mari...... 50, 82, 188 Patel, Vikas...... 27 Petersen, Laura A...... 285 Pamuk, Elsie R...... 152, 284 Patil, Ganapati P...... 398 Petersen, Maya L...... 576 Pan, Lan...... 17 Patten, Nancy...... 362 Peterson, Anna D...... 416 Pan, Lin...... 211, 531 Patterson, Robert...... 607 Peterson, John J...... 78 Pan, Qing...... 75, 127 Paul, Debashis...... 61, 250 Petkova, Eva...... 101 Pan, Qiyuan...... 519 Paul, Ranjan...... 245 Petralia, Francesca...... 151 Pan, Rong...... 516 Paul, Sudhir R...... 73, 315, 371 Petrides, Vicki...... 361 Pan, Wei...... 275 Pavur, Robert...... 415 Petrie, Adam...... 29, 120 Pan, Wei...... 296, 379, 401, 433 Pawde, Sanjay P...... 398 Petska, Ryan...... 106 Pan, Xueliang...... 431 Paxton, Brad...... 255 Petska, Thomas...... 106 Pan, Yi...... 523 Payne, Katharine B...... 35 Pettit, Lawrence I...... 37, 164 Panagiotakos, Demosthenes...... 382 Payton, Mark E...... 133, 286 Peyrani, Paula...... 476 Pang, Herbert...... 607 Pazdernik, Karl T.L...... 281 Pfeffermann, Danny...... 246, 347, 510 Panter, Abigail...... 347 Pearce, Jamie...... 461 Pfeiffer, Ruth...... 83, 191, 470, CE_22C Pantoja, Philip...... 458 Pearl, Dennis...... 107 Pfenning, Nancy...... 69 Pantoja-Galicia, Norberto...... 606 Pearl, Judea...... 491 Pflughoeft, Kurt A...... 364 Papachristou, Charalampos...... 470 Peck, Roxy...... 363, 465 Phansalkar, Amit...... 322 Papanyan, Shushanik...... 63 Peddada, Shyamal D...... 474 Phelps, Amy L...... 314 Papp, Jeanette...... 135 Peel, David...... 122 Phillips, Bart...... 284 Parast, Layla...... 75 Peixoto, Julio L...... 456 Phillips, David...... 227 Park, Changsoon...... 368 Pekow, Penelope S...... 316, 450 Phipps, KeTrena S...... 219 Park, Cheolwoo...... 16 Pena, Edsel A...... 132, 379, 407, 484 Phipps, Polly...... 39, 140, 357 Park, Heungsun...... 479 Pencina, Michael...... 75 Piccone, David...... 571 Park, Jennifer...... 513 Peng, Cheng...... 112 Pickle, Linda Williams...... 539 Park, Jin-Hong...... 66 Peng, Hanxiang...... 110, 121, 566 Pidcoe, Peter...... 74 Park, Ju Hyun...... 278 Peng, Heng...... 157, 284 Piekarski, Linda B...... 454 Park, Juhyun...... 418 Peng, Jie...... 113 Piepel, Greg...... 313, CE_19C Park, Junyong...... 564 Peng, Jie...... 138, 250 Pierce, Bennett K...... 265 Park, Sangun...... 586 Peng, Liang...... 541 Pierce, John...... 561 Park, Seo Young...... 121, 423 Peng, Limin...... 603 Pierce, Rebecca L...... 69 Park, So-Hyung...... 99 Peng, Lu...... 31 Pierson, Stephen...... 12, 300, 405, 514 Park, Taesung...... 373 Peng, Roger D...... 49, 259, 448 Pietz, Kenneth...... 285 Park, Trevor...... 318 Peng, Yingwei...... 468 Pillai, Natesh S...... 262 Park, Youngser...... 270, 275, 318, 319 Pennell, Michael...... 75, 526 Piltner, Reinhard...... 422 Parke, Darrel W...... 478 Pennello, Gene...... 160, 361 Pincheira, Pablo M...... 63, 267 Parke, Tom...... 102 Pennington, Terry L...... 365 Pinder, Robert W...... 422 Parker, Barbara...... 561 Pepe, Margaret...... 217, 361 Pineau, Vicki J...... 284 Parker, Jennifer D...... 76, 152 Pepper, John V...... 317 Pinheiro, Jose C...... 56, 354, CE_16C Parker, Portia...... 380 Perevozskaya, Inna...... 446 Pintar, Adam L...... 313 Parker, Robert P...... 109 Perez Caicer, Wehrli E...... 382 Pinté, László...... 4 Parker, Robert A...... 430, 503 Perez Sanchez, Carlos J...... 432 Pinto, Cathy-Anne...... 377 Parkhomenko, Elena...... 378 Perez, Adriana...... 575 Pipiras, Vladas...... 120 Parks, Daniel...... 599 Perez-Mira, Begona...... 563 Piryatinska, Alexandra...... 380 Parmet, Yisrael...... 598 Pericchi, Luis R...... 544 Pitblado, Jeffrey ...... CE_31T Parmigiani, Giovanni...... 296, 340 Perkins, Neil J...... 312 Pitts, Angela...... 257 Parr, Bill...... 326 Permutt, Thomas...... 256 Platt, Jerry...... 130 Parry, Samuel...... 371 Perrett, Jamis...... 418, 557 Ploberger, Werner...... 415 Parsa, Rahul A...... 284, 459, 513 Perron, Pierre...... 212 Poisson, Laila M...... 445 Parsons, Van L...... 152, 284, 342 Perry, Marcus...... 469 Polansky, Alan M...... 68 Pashkevich, Maksim...... 280 Peruggia, Mario...... 582 Polis, Adam B...... 280 Passero, William D...... 567 Pesavento, Elena...... 150 Polivka, Anne E...... 551

270 JSM 2009 Index of Participants Name Session Name Session Name Session Pollack, Jonathan...... 250 Qian, Jiahe...... 156 Ramirez, Caroline...... 314 Pollard, William E...... 285 Qian, Min...... 475 Ramirez, Jose G...... 98 Polley, Eric...... 20 Qian, Minping...... 223 Ramirez, Julio A...... 476 Polley, Mei-Yin...... 322 Qian, Peter Z.G...... 21 Ramler, Ivan...... 416 Polonik, Wolfgang...... 289 Qian, Yi...... 132 Ramos, Magdalena...... 394 Polsky, Daniel E...... 152 Qian, Yi...... 477 Ramsay, James O...... 157, 400, 604 Polson, Nicholas...... 141, 395 Qian, Zhiguang...... 383 Ramsey, Patricia P...... 113 Polush, Elena...... 326 Qiao, Hongyan...... 103 Ramsey, Philip H...... 113 Pondo, Tracy...... 440 Qiao, Xingye...... 31, 436 Ramsey, Philip J...... 142 Porter, Jeremy R...... 55, 603 Qin, Gengsheng...... 606 Ranjan, Pritam...... 21 Porter, Michael D...... 517 Qin, Guoyou...... 116 Ranwala, Nandun S...... 133 Portier, Christopher...... 398 Qin, Jing...... 154, 275 Rao Sahib, Padma...... 272 Portman, Ronald...... 440 Qin, Li...... 157 Rao, J. Sunil...... 492 Posey, Heather...... 130 Qin, Rui...... 493 Rao, J.N.K...... 492 Posner, Michael...... 425 Qin, Yingli...... 318 Rao, Marepalli B...... 110 Potgieter, Cornelis...... 120 Qiu, Anqi...... 52 Rao, Sowmya...... 315 Potter, Frank...... 71 Qiu, Li...... 362 Rao, Youlan...... 572 Potthoff, Richard F...... 446 Qiu, Peihua...... 52, 254, 583 Rasathurai, Sumirathan...... 292 Pottinger, Audrey...... 439 Qu, Annie...... 289, CE_04C Rasp, John...... 133 Pourahmadi, Mohsen...... 369 Qu, Xianggui...... 214 Rassen, Jeremy...... 20 Powell, James B...... 506 Qu, Yanping...... 284 Rässler, Susanne...... 173 Powers, Randall K...... 167, 478 Qu, Yongming...... 599 Ratcliffe, Sarah...... 371, 569, 589 Prabhakar, N. D...... 284 Quan, Hui...... 547 Rathbun, Stephen L...... 35, 323 Pradhan, Vivek...... 103 Quan, Peter...... 556 Rathouz, Paul J...... 196 Prado, Raquel...... 151, 414, 594 Quasem, Mohammad...... 39, 598 Ratnaparkhi, Makarand V...... 29 Pramanik, Santanu...... 55, 139 Quenneville, Benoit...... 48, 261 Rau, Andrea...... 404, 525 Prasada Rao, D.S...... 550 Quessy, Jean-Francois...... 587 Raub, Brian...... 39 Pratola, Matthew T...... 59 Quinlan, Judith...... 56 Raunig, David...... 233 Preisser, John S...... 257, 600 Quinlan, Michelle...... 529 Rausch, Joseph R...... 169, 560 Prentice, Ross L...... 87 Quinn, Kevin...... 278 Ravid, Rachel...... 604 Pressler, Taylor...... 195 Quiring, Steven...... 313 Ravikumar, Pradeep K...... 341 Preston, Richard A...... 525 Qumsiyeh, Maher B...... 381 Ravishanker, Nalini...... 302 Price, Dionne...... 175, 329, 377, 481 Rabinowitz, Daniel...... 30 Rawdon, Eric...... 427 Price, Julie C...... 467 Rachev, Boris...... 273 Rayens, Mary Kay...... 316 Price, Megan...... 585 Radchenko, Peter...... 138 Rayens, William S...... 169, 600 Priebe, Carey E...... 219, 270, 275, 318, 319, Radley, David...... 324 Raymond, Robert...... 509 423, 436 Rafnar, Thorunn...... 526 Raza, Muhammad A...... 469 Prinzie, Anita...... 507 Raftery, Adrian E...... 37, 76 Real, Leslie A...... 292 Pritchett, Yili L...... 27, 50 Raftery, Daniel...... 221 Reboussin, Beth A...... 217 Prorok, Philip C...... 607 Raghavarao, Damaraju...... 598 Reboussin, David...... 28 Proschan, Michael...... 503 Raghunathan, Trivellore E...... 284, 342, 409 Recta, Virginia...... 366 Provost, Serge B...... 279 Rahbar, Mohammad H...... 370, 561 Redelings, Benjamin D...... 594 Pruszynski, Jessica E...... 233 Rahman, Mohammad...... 123 Redmount, Ian H...... 127 Pryor, David...... 285 Rahman, Mohammad L...... 436 Reese, C. Shane...... 58, 226, 372 Pu, Minya...... 561 Rai, Shesh N...... 123, 233 Reeser, Cathe...... 255 Puggioni, Gavino...... 61, 593 Rajagopalan, Ravishankar...... 226 Reeson, Craig...... 151 Purkayastha, D. Das...... 377 Rajan, Kumar B...... 419 Reeve, Bryce B...... 89 Putter, Hein...... 111 Rajasekaran, Sanguthevar...... 14 Reich, Brian J...... 49, 292, 348, 511 Qadir, Fazli...... 122, 319 Rajput, Adil...... 270 Reich, Daniel...... 356 Qayad, Mohamed...... 284 Raju, Ramanathan...... 285 Reich, Nicholas G...... 380 Qi, Lihong...... 64 Rakonczai, Pál...... 382 Reichert, Jennifer W...... 394 Qi, Xiaoli...... 370 Ram Mohan, Nikhil...... 275 Reichmann, William M...... 440 Qi, Xin...... 130 Raman, Kalyan...... 364 Reid, Nancy...... 297, 607 Qian, Huiyu...... 72 Rambaldi, Alicia...... 550 Reifschneider, David...... 244 Qian, Jane ...... CE_21C Rambaut, Andrew...... 311 Reimers, Mark...... 379, 526

Washington, DC 271 Index of Participants Name Session Name Session Name Session Reinard, Robert J...... 206 Robinson, Lucy...... 221 Rowe, Daniel B...... 72, 221 Reinsdorf, Marshall B...... 140, 578 Rocha, Guilherme...... 516 Rowell, Ginger H...... 22 Reischman, Diann...... 418 Rochester, George...... 280 Roy, Anindya...... 278, 424, 564 Reiss, Philip T...... 101, 353 Rockette, Howard...... 233 Roy, Jason...... 504 Reist, Benjamin M...... 571 Rockhold, Frank...... 300 Roy, Soma...... 69 Reiter, Jerome...... 427, 588 Rockoff, David...... 281, 459, 471 Royle, J. Andrew...... 264 Reiter, Jerry...... 284 Rodrigues, Vitor...... 168 Rubin, Daniel...... 9 Rempala, Grzegorz A...... 76 Rodriguez, Abel...... 262, 457, 511, 594, Rubin, Donald B...... 25, 57, 136, 427, 439, Ren, Haobo...... 605 CE_27C 504, 518 Ren, Jian-Jian...... 243 Rodriguez-Moran, Martha...... 555 Rubin, Herman...... 558 Renaud, Martin...... 571 Roeder, Kathryn...... 296 Rubinstein, Larry...... 54 Renfro, Lindsay A...... 132 Roegner, Russ...... 213 Rudoy, Daniel...... 62 Rennert, Kevin...... 405 Roessner, Martin...... 547 Rudser, Kyle...... 8, 115 Renwick, Trudi...... 208 Rogatko, Andre...... 211, 493 Rudy, Gabriel F...... 406 Restrepo, Carlos E...... 517 Rogers, Alfreda...... 277 Rueda, Cristina...... 474 Rettiganti, Mallikarjuna...... 430 Rogers, James A...... 505 Ruf, Johannes...... 127 Retzer, Joseph...... 521 Rogness, Neal...... 266, 367 Rufo Bazaga, Maria J...... 432 Revicki, Dennis A...... 89 Rohde, Frederick...... 60 Rui, Changxiang...... 366 Reyner, Daniel P...... 528 Rolka, Henry...... 183 Rui, Ning...... 127 Reynolds, Joel H...... 264, 422 Rollins, Derrick...... 423, 568 Ruiz-Molina, Juan C...... 383 Reznek, Arnold...... 588 Rolph, John E...... 310 Rukhin, Andrew...... 65 Rhoda, Dale...... 75 Romanov, Dmitri...... 317 Rumsey, Deborah...... 314 Rice, Jeff...... 461 Roncalli, Thierry...... 610 Ruppert, David...... 94, CE_09C Rice, Kenneth...... 200 Roofe, Andrea...... 130 Ruroede, Kathleen...... 65 Richards, Donald...... 392 Rope, Dan...... 182, 358 Russek-Cohen, Estelle...... 160, 481 Richards, Winston A...... 560 Rosario, Bedda L...... 467 Russell, J. Neil...... 588 Richardson, Mary...... 316, 418 Rose, Charles E...... 440 Rutkove, Seward...... 224 Richter, Francisca G.C...... 162 Rose, David...... 129 Rutledge, Patricia C...... 188 Ridenhour, Jamie L...... 512 Rose, Sherri...... 419, 518 Rutter, Michael A...... 272 Ridker, Paul M...... 115 Rosen, Mitchell J...... 529 Ryan, Anne...... 230 Rieger, Randall H...... 111 Rosenbaum, Janet E...... 425 Ryan, David...... 436 Rigdon, Christopher J...... 479 Rosenbaum, Paul R...... 433, 568 Rybolt, Bill...... 367 Rigdon, Steven E...... 479 Rosenberg, David...... 431 Rydén, Jesper...... 218 Riley, Fransell C...... 74 Rosenberg, Yves...... 393 Ryoo, Ji Hoon...... 283 Ringholz, Corinne...... 34 Rosenberger, James L...... 366, 514 Ryu, Soyoung...... 380 Rising, William...... 530 Rosenberger, William F...... 256 Saavedra, Pedro J...... 284, 596 Ritter, Christian...... 88 Rosenthal, Meredith B...... 480 Sabatti, Chiara...... 399 Ritter, Matt...... 35 Rosner, Bernard...... 433 Sabin, Caroline...... 17 Rivers, Douglas...... 144 Rosner, Gary L...... 8, 262 Sabo, Roy T...... 268 Rizzo, Lou...... 421 Ross, James G...... 19 Sabol, William...... 57 Rizzo, Maria ...... CE_25C Ross, N. Phillip...... 398 Saboya, Dagoberto...... 122 Roayaei, Jean A...... 599 Rossell, David...... 582 Sadinle, Mauricio...... 380 Roback, Paul...... 153 Rosset, Saharon...... 562 Sagmiller, Robert...... 517 Robbins, Naomi B...... 88 Rossi, Barbara...... 86, 150, 303 Saha, Krishna K...... 73, 110, 111 Robers, Simone A...... 438 Rosychuk, Rhonda J...... 380 Saha, Paramita...... 606 Robert, Christian P...... 455, 495 Rotenstreich, Shmuel...... 553 Sahinoglu, Mehmet...... 498 Roberts, Alice M...... 19 Roth, Arthur...... 123 Sahni, Aman...... 434 Roberts, Christopher...... 104 Rothman, Adam J...... 170, 223 Said, Yasmin...... 31, 553 Roberts, Fred...... 416 Rothmann, Mark...... 172 Saidane, Mohamed...... 130 Roberts, Gareth...... 502 Rothstein, Hannah R...... CE_33T Sain, Stephan R...... 59, 92, 346, 448 Roberts, Georgia...... 216 Rotkowitz, Michael...... 163 Salazar, Rodrigo F...... 254 Robertson, Kenneth W...... 165 Rotnitzky, Andrea...... 9, 581 Salinas, Carlos...... 285 Robins, James...... 9, 295, 568, 576 Rottach, Reid...... 571 Saltzman, Charles...... 380, 438 Robinson, Cassie...... 285 Rougier, Jonathan...... 44 Salvo, Joseph J...... 186, 207, 339, 490 Robinson, Kevin S...... 283, 604 Rouhani, Mohammad R...... 427 Sam, Kou X...... 495

272 JSM 2009 Index of Participants Name Session Name Session Name Session Samal, Ashok...... 562 Schaubel, Douglas E...... 323, 407, 426 Schwenke, James...... 529 Samanta, Suvajit...... 430 Schauer, Nick D...... 554 Scioch, Patrycja...... 321 Samarakoon, Nishantha...... 30 Schechter, Susan...... 109, 339 Scott, Alastair...... 45, 217 Samaranayake, V. A...... 130, 516 Schechtman, Edna...... 173, 598 Scott, David W...... 553 Sammel, Mary...... 64 Schechtman, Kenneth...... 555 Scott, James...... 304, 395 Sampson, Allan...... 607 Scheike, Thomas...... 223 Scott, Stephen L...... 245 Samson, Adeline...... 400 Scheinerman, Edward R...... 219 Scott, Stuart...... 205, 328, 510 Samuels, Joshua...... 440 Schell, Michael J...... 213 Scotti, Chiara...... 303 Samuelson, Frank W...... 362 Schenker, Nathaniel...... 76, 152, 284, 342 Seaman, II, John W...... 132, 233 Samworth, Richard...... 494 Schennach, Susan...... 145, 442 Seaman, III, John W...... 132 San Martin, Ernesto...... 360 Scheuermann, Richard...... 233 Seaman, Julia...... 133 Sancheti, Sachin...... 302 Scheuren, Fritz... 12, 127, 216, 273, 284, 479, Seastrom, Marilyn...... 90, 355 Sanchez, Brisa...... 91 546 Sebastiani, Paola...... 399 Sanchez, Juana...... 4 Schick, Anton...... 112, 566 Sedransk, Nell...... 280, 299, 346 Sandberg, Kathryn...... 222 Schiefelbein, Fernando...... 380 See, Kyoungah...... 547 Sandler, Andy...... 478 Schield, Milo...... 153, 509 Seheult, Allan...... 593 Sanes, Jerome...... 101 Schildcrout, Jonathan...... 196 Sehra, Supriti...... 420 Sang, Huiyan...... 220 Schindler, Jerry...... 252 Seijo, Emilio...... 595 Sanjel, Deepak...... 436 Schisterman, Enrique...... 312, 379, 600 Seiss, Mark...... 230 Sankoh, Abdul J...... 64, 149 Schlein, Beth...... 71 Sekhon, Jasjeet S...... 425 Sanso, Bruno...... 500, CE_17C Schmid, Christopher H...... 210, 343 Sekhposyan, Tatevik...... 212, 303 Santamaría, Laureano...... 248 Schmid, Kendra K...... 562 Sela, Rebecca J...... 72 Santner, Thomas...... 180, 375 Schmidler, Scott...... 164 Selassie, Anbesaw W...... 439 Santorico, Stephanie A...... 378 Schmidt, Kristian...... 281 Sellers, Kimberly F...... 499 Santos, A. M...... 364 Schmidt, Lara...... 124, 125, 127, Seltzer, William...... 496 128, 129, 130, 131, 132, 133, 134, 226, 227, Santos, Robert...... 265 Selzer, Martin B...... 131 228, 230, 231, 281, 282, 284, 285, 286, 287, Saquib, Nazmus...... 561 378, 379, 380, 381, 382, 383, 431, 432, 433, Sen, Ananda...... 407 Sargent, Daniel...... 54, 233, 493, 599 435, 436, 437, 438, 439, 440, 530, 532 Sen, Bodhisattva...... 93, 595 Sarkar, Sanat...... 27, 429 Schmidt, Mary Lynn...... 125 Sen, Chingfu...... 29 Sass, Marcia M...... 283, 287 Schneeweiss, Sebastian...... 20 Sen, Debaraj...... 110 Satagopan, Jaya...... 340, 445, 574 Schneider, Bruce S...... 430 Sen, Pranab...... 78 Sato, Tosiya S...... 561 Schneider, Paul...... 462 Senturk, Damla...... 277, 371 Sattar, Abdus...... 213 Schnurr, Paula...... 209 Senyuz, Zeynep...... 63 Satten, Glen A...... 406 Schoenberg, Frederic P...... 117 Seo, Byungtae...... 121, 317 Satterlee, Aaron...... 575 Schoeny, Rita...... 540 Seo, J...... 305 Saunders, Christopher P...... 432 Schofield, Matthew...... 218 Septier, Francois...... 308 Saville, Benjamin...... 268 Schorfheide, Frank...... 86 Serban, Nicoleta...... 166 Savitsky, Terrance D...... 225 Schörgendorfer, Angela...... 320 Session 1, Winners from...... 288 Savitz, Natalya...... 355 Schott, Sarah...... 455 Sessler, Daniel I...... 433 Sawant, Pallavi...... 436 Schou, Sue...... 557 Sethuraman, Venkat S...... 358 Sawyerr, Gosford A...... 17, 103 Schucany, William...... 162, 221, 467, 473 Sewell, Edward C...... 479 Saxena, Kuldeep K...... 378 Schuck, Kristen...... 435 Sezer, Ahmet...... 220 Saxton, Madeleine...... 284 Schuckers, Michael E...... 606 Sha, Naijun...... 225, 516 Sayer, Bryan...... 284 Schucking, Michael...... 126 Sha, Nanshi...... 116 Scali, Jana...... 106 Schuetter, Jared...... 314, 436 Shabbir, Javid...... 420 Scanlan, James P...... 269 Schulze, Roland K...... 499 Shaby, Benjamin...... 59 Scarpa, Bruno...... 312 Schumi, Jennifer...... 525 Shadle, John...... 417 Schabenberger, Oliver...... 320 Schwager, Steven J...... 35 Shafie, Khalil...... 66, 427, 434 Schadt, Eric...... 305 Schwartz, Ann...... 436 Shah, Aarti S...... 50 Schafer, Dan...... 509 Schwartz, Lisa...... 153 Shang, Junfeng...... 506 Schafer, Joseph L...... 136, 317, 479 Schwartz, Todd...... 600 Shang, Nong...... 274 Schaffer, Jay...... 381 Schwartzman, Armin...... 356 Shankar, Venkatesh...... 302 Schaid, Daniel...... 191 Schwede, Laurie...... 114 Shannon, William...... 353 Scharfstein, Daniel...... 217 Schweidel, David...... 364 Shao, Jin Yan...... 118, 215, 570 Schaub, Rene...... 396 Schweidel, David A...... 190 Shao, Jinyan...... 423

Washington, DC 273 Index of Participants Name Session Name Session Name Session Shao, Jun...... 409 Shine, James A...... 319, 416 Singer, Phyllis...... 365 Shao, Nan...... 66 Shipp, Stephanie...... 5 Singh, Avi...... 154 Shao, Xiaofeng...... 15, 369, 602 Shirkey, Beverly A...... 437 Singh, Jagbir...... 23 Shao, Yongzhao...... 475 Shirley, Kenneth...... 117, 395 Singh, Pradeep...... 378 Shapiro, Gary M...... 585 Shoben, Abigail...... 115 Singh, Sarjinder...... 317, 420, 571 Shapla, Tanweer J...... 217, 315 Shoemaker, Lewis H...... 283, 516 Singleton, James A...... 454 Sharabati, Walid...... 31 Shoemaker, Owen...... 165 Singpurwalla, Nozer...... 546 Sharma, Dhruv...... 215 Shojaie, Ali...... 31, 558 Sinha, Bimal...... 119, 440, CE_24C Sharp, Julia L...... 231 Shook, Stephanie L...... 233 Sinha, Debajyoti...... 139 Sharpnack, James...... 286 Shook-Sa, Bonnie...... 512 Sinha, Moumita...... 79 Shaughnessy, Gerald J...... 381 Shore, Felice S...... 283 Sinha, Ritwik...... 233 Shaw, Pamela A...... 323 Shores, Roger...... 553 Sinha, Samiran...... 45, 511 Shay, David K...... 34 Short, Kathleen S...... 208 Sinha, Sanjoy K...... 492 Shayib, Mohammed A...... 564 Short, Margaret...... 611 Sinharay, Sandip...... 156 She, Dewei...... 284 Short, Thomas H...... 233, 465 Sinsheimer, Janet S...... 135 Shea, Brian...... 521, 558 Shortreed, Susan...... 419, 581 Siqueira, Arminda L...... 233 Sheather, Simon...... 300, 534 Shoultz, Gerald...... 283 Sirchenko, Andrey...... 267 Shedden, Kerby...... 538 Shukur, Ghazi...... 319 Sirken, Monroe...... 478 Shehzad, Zarrar...... 101 Shulman, Holly B...... 5 Siroky, David S...... 580 Shelley, Mack...... 326 Shults, Justine...... 589 Sirota, Lev...... 233, 329 Shen, Dinggang...... 52, 101, 220 Shumway, Robert...... 546 Sirotkin, Barry...... 440 Shen, Gang...... 220 Shun, Zhenming...... 1, 27 Sissoko, Yaya...... 130 Shen, Haipeng...... 354 Shuttles, Charles...... 512 Sitlani, Colleen...... 224 Shen, Jie...... 200 Shvartsman, Ilya...... 566 Skalland, Benjamin...... 421 Shen, Meiyu...... 78, 233 Si, Yaqing...... 131 Skierczynski, Boguslaw...... 285 Shen, Ronglai...... 428 Siddiqui, Ohidul...... 377 Skrivanek, Zachary...... 559 Shen, Xiaotong.....11, 95, 147, 197, 251, 379, Sidell, Margo A...... 440 Slack, Dave...... 478 401, 402, 433, 502 Sidik, Kurex...... 233 Slakey, Francis...... 405 Shen, Xia-Yi...... 416 Sieber, Karl...... 265, 508 Slanta, John...... 33 Shen, Yuanyuan...... 135 Siegfried, John...... 299 Slate, Elizabeth...... 285, 433 Shentu, Yue...... 233 Siegfried, Tom...... 253 Slaughter, Mary...... 458 Shepherd, Bryan E...... 380 Siegmund, David...... 93 Slaven, James...... 124 Sheppard, Lianne...... 437 Siegmund, Kimberly...... 574 Slavkovic, Aleksandra B...... 90, 193, 452 Shete, Sansay...... 470 Sigman, Richard...... 421 Slavov, Iordan...... 285 Shi, Jianjun...... 423 Sigurdardottir, Asta J...... 563 Sloboda, Brian W...... 130 Shi, Min...... 91 Sikov, Anna...... 347 Slud, Eric V...... 357 Shi, Minghui...... 151 Sill, Keith...... 86 Small, Dylan...... 121, 260, 295, 431, 433, 475 Shi, Qian...... 599 Silva, Romesh...... 496 Smalletz, Jonathan...... 517 Shi, Tao...... 61, 436 Silverman, Bernard W...... 147 Smeekes, Stephan...... 122 Shi, Zengli...... 438 Silverman, Emily...... 264 Smith, Adam D...... 90, 193 Shibata, Darryl...... 574 Simeonov, Ivan...... 193 Smith, Brian J...... 2, 522 Shiffman, Saul...... 35 Simile, Catherine M...... 6 Smith, Eric...... 230, 532 Shih, Joanna H...... 64 Simmons, Susan J...... 498 Smith, Fraser...... 324 Shih, Tina...... 143 Simon, Alan...... 466 Smith, Jeff...... 192 Shih, Weichung J...... 322 Simon-Miller, Amy...... 170 Smith, Justin Z...... 477 Shih, Xiaolong...... 592 Simonoff, Jeffrey S...... 72, 517 Smith, Leonard A...... 346 Shil, Prasenjit...... 130 Simpkins, Scott...... 517 Smith, Marla D...... 274 Shim, Heejung...... 311 Simpson, Daniel...... 37 Smith, Michelle L...... 381 Shimizu, Iris...... 519, 567 Simpson, Douglas...... 112 Smith, Mike K...... 537 Shin, Dong-Yun...... 479 Simpson, Pippa...... 72 Smith, Philip J...... 327, 567 Shin, Hee-Choon...... 421, 479, 560 Simpson, Sean L...... 433 Smith, Richard...... 259, 405 Shin, Hwashin H...... 422 Sinclair , Michael D...... 57 Smith, Steven...... 609 Shin, Mikyong...... 600 Sinclair, Alistair...... 251 Smith, William B...... 408, CE_08C Shin, Taek Soo...... 477 Sinclair, Tara M...... 122 Smith, Woollcott...... 320 Shin, Yongyun...... 170, 219 Singer, Eleanor...... 513 Smythe, Bob...... 546

274 JSM 2009 Index of Participants Name Session Name Session Name Session Snapinn, Steven...... 43 Stangl, Dalene K...... 41 Stroup, Walter...... 290, 529 Snavely, Duane...... 430 Stanwyck, Elizabeth A...... 440 Struble, Kimberly...... 324 Snowdon, David...... 380 Stapleton, Jack...... 132 Strudler, Michael...... 106 Sohn, Insuk...... 572 Starbuck, Robert...... 408 Stuart, Elizabeth A...... 5 Solana, Helena...... 314 Starcevich, Leigh Ann H...... 317 Stuber, Jason L...... 380 Solin, Lawrence J...... 168 Stark, Philip B...... 403, 459 Stufken, John...... 36, 300 Solis, Eric J...... 283 Starsinic, Michael D...... 155, 207 Sturdivant, Rodney...... 418, 590 Solka, Jeffrey L...... 183, 270, 488, 564, 580 Stasny, Elizabeth...... 380, 598 Stuttard, Nigel...... 104 Solo, Victor...... 475 Staudenmayer, John...... 145 Su, Haiyan...... 566 Solomon, Daniel...... 233 Stedman, Margaret R...... 76, 233 Su, Ying...... 529 Somers, Steve...... 461, 540 Steel, E. Ashley...... 264 Suárez-Fariñas, Mayte...... 163 Song, Aijun...... 17 Steel, Philip...... 33 Subramanyam, Malavika...... 472 Song, Dong...... 171 Steele, Patrick...... 227 Suchard, Marc A...... 311, 594 Song, Joon Jin...... 353 Steele, Russell...... 416 Sucheston, Lara...... 350 Song, Kai-Sheng...... 522 Stefanski, Leonard A...... 145, 442, 467, 494 Sudhagoni, Ramu...... 380 Song, Peter X.K...... 198, 259, 297, CE_04C Stefansson, Gunnar...... 526, 563 Sudhir, K...... 302 Song, Qiongxia...... 42 Steffey, Duane...... 310 Sued, Mariela...... 9 Song, Rui...... 93 Stein, Michael...... 247 Sue-Jane, Wang...... 359 Song, Seongho...... 524 Steinberg, David M...... 306, 348 Suess, Eric...... 32 Song, Tao...... 64 Stenberg, Shari...... 290 Sugar, Catherine A...... 272 Song, Weixing...... 30 Steorts, Rebecca...... 246 Sugimoto, Tomoyuki...... 233 Song, Yang...... 54 Stephen, Duntley...... 353 Sukasih, Amang...... 167, 365 Song, Zhaogang...... 610 Stephenson, Paul L...... 316 Sullivan, Brian ...... CE_30T,CE_36T Sonnenfeld, Nancy...... 579 Stephenson, W. Robert...... 314 Sullivan, Joe H...... 283, 313 Soofi, Ehsan S...... 202 Stergiou, Bill...... 269 Sullivant, Seth...... 201 Soon, Guoxing (Greg)...... 149, 324 Stern, Hal...... 200 Sun, Dongchu...... 77 Soremekun, Olumayokun...... 130, 450 Stern, Sharon...... 155 Sun, Hongwei...... 438 Sørensen, Michael...... 383 Stetser, Marie...... 571 Sun, Hugette...... 38 Sorokin, Anissa...... 114 Stevens, John R...... 380, 389 Sun, Jenny...... 315 Sorto, Alejandra...... 69 Stevens, M.H. Henry...... 101 Sun, Jianguo...... 275, 276, 603 Sothinathan, Nalaiyini...... 37 Stevens, Rick...... 274 Sun, Jianping...... 65 Sotto, Cristina...... 136 Stevenson, Betsey...... 309 Sun, Kelian...... 223 Soyer, Refik...... 202 Stieb, Dave...... 422 Sun, Lei...... 198, 543 Sozu, Takashi...... 233 Stigler, Brandilyn...... 201 Sun, Linda...... 233 Spagnola, Kathryn...... 327 Stine, Robert...... 143 Sun, Rena Jie...... 74 Spall, James C...... 228, 522, 565 Stinson, Martha...... 14 Sun, Wei...... 411 Speed, F. Michael...... 112, CE_08C Stitelman, Ori M...... 20 Sun, Xiao J...... 27 Speed, Terence P...... 378, 403 Stocker, Russell...... 604 Sun, Xiaoyong...... 233 Spera, Cosimo...... 102 Stoddard, Anne...... 419 Sun, Yanqing...... 268 Sperrin, Matthew...... 418 Stoev, Stilian...... 16, 74 Sun, Yi...... 134 Spiegelman, Clifford...... 45 Stokes, Houston H...... 130 Sun, Ying...... 379 Spiegelman, Donna L...... 241 Stokes-Riner, Abbie...... 132 Sun, Yingjie...... 130 Spinka, Christine...... 411 Storer, Barry E...... 272 Sun, Yu-Hsiang...... 227 Spitzner, Dan J...... 166 Storey, John...... 607 Sundaram, Rajeshwari...... 312 Spiwak, Steven P...... 255 Storlie, Curtis...... 348 Sung, Minje...... 202 Spouge, John L...... 28 Stramer, Osnat...... 462 Sur, Ritaja...... 383 Sridhara, Rajeshwari...... 1, 172, 211, 325 Strasser, Georg...... 303 Sussell, Aaron...... 124 Srinath, Kadaba P...... 478 Stratton, Jeffrey H...... 268, 419 Sutton, Clifton...... 607 Srinivasan, Cidambi...... 120, 220 Strauss, Aaron...... 436 Sverchkov, Michail...... 510 Srivastava, Muni S...... 375 Strauss, Benjamin...... 49 Sverdlov, Lev S...... 518 St. Laurent, Roy...... 169 Streilein, James...... 310 Swall, Jenise...... 422, 540, 601 Stager, William...... 280 Streja, Leanne...... 272, 559 Swartz, Michael D...... 225 Stamey, James...... 132 Strickland, Christopher M...... 37 Sweet, Robert...... 607 Stamoulis, Catherine...... 224 Strickland, Margaret E...... 284 Swern, Arlene...... 211, 233 Stanford, Clark M...... 195 Stroud, Jonathan R...... 247, 414 Swift, Andrew W...... 272

Washington, DC 275 Index of Participants Name Session Name Session Name Session Szabo, Aniko...... 268 Telesca, Donatello...... 296, 360 Todorov, Viktor...... 415, 462 Szarek, Michael...... 213, 329 Temple, Enoch C...... 383 Tokdar, Surya T...... 200, 374 Szarka, John...... 230 Temple, Robert...... 252 Tom, Jennifer...... 311, 594 Szpiro, Adam...... 437 Ten Have, Thomas...... 260, 324 Tom, Tammy...... 285 Taddy, Matt...... 262 Tendick, Pat...... 271 Tomazic, Terry J...... 127 Tager, Ira...... 581 Teng, Chi-hse...... 43 Tong, Christopher...... 224, 313 Tahir, Stephen...... 460 Teng, Huei-Wen...... 164 Tong, Liping...... 65 Tajvidi, Nader...... 382 Teraesvirta, Timo...... 344 Tong, Tiejun...... 607 Takle, Gene...... 92 Terraza, Virginie...... 369 Tong, Xingwei...... 276 Talata, Zsolt...... 432 Terrell, George R...... 113, 278 Tonkonojenkov, Roman...... 61 Talebi, Hooshang...... 370 Terry, Robert...... 127 Toque, Carole...... 369 Talluri, Rajesh...... 559 Tersine, Anthony...... 207 Toribio, Sherwin...... 37 Talukdar, Debabrata (Debu)...... 118, 302 Testa, Valerie...... 106, 284 Toro-Vizcarrondo, Carlos...... 321 Tamhane, Ajit C...... 79 Thas, Olivier...... 112, 277, 609 Torres, Jacob...... 269 Tan, Charles...... 529 Thavaneswaran, Aerambamoorthy...... 515 Tosteson, Tor D...... 222 Tan, Frans E.S...... 472 Theus, Martin ...... CE_26C Toth, Daniell...... 14, 357, 573 Tan, Lucilla...... 554 Thibaudeau, Yves...... 357, 479 Toto, Ma Criselda S...... 62 Tan, Ming T...... 420 Thiebaut, Rodolphe...... 400 Tractenberg, Rochelle E...... 132, 222, 316 Tan, Wai-Yuan...... 171, 285 Thijs, Herbert...... 233 Tran, Bac...... 365 Tan, Xianming...... 170 Thomas, Andrew C...... 270, 522 Traugott, Michael W...... 365 Tan, Zhiqiang...... 9 Thomas, Gilles F...... 536 Traynham, Jane...... 109 Tanaka, Yoko...... 547 Thomas, III, Joseph...... 425 Tremblay, Marie-»ve...... 349 Taneja, Baldeo K...... 599 Thomas, J. William...... 226 Trindade, Alex...... 68 Tang, Hui...... 233 Thomas, Neal...... 256 Trindade, David C...... 180, 516 Tang, Liansheng...... 606 Thomas, William C...... 58 Tripodis, Yorghos...... 205 Tang, Lingqi...... 285 Thompson, Catherine...... 233 Trippa, Lorenzo...... 360 Tang, Man-Lai...... 420 Thompson, Katherine J...... 71, 477, 554 Tritchler, David...... 378 Tang, Rong...... 160 Thompson, Mary E...... 154 Trovero, Michele A...... 376 Tang, Runlong...... 29, 595 Thompson, Mya E...... 35 Trumbo, Bruce E...... 283 Tang, Shenghui...... 1, 172, 325 Thompson, Trevor...... 144 Trunzo, Deborah...... 258 Tang, Weihua...... 325 Thompson, Wesley K...... 31, 101 Truong, Sim...... 362 Tang, Yiyun...... 521 Thompson, William W...... 34 Tsai, Chen-An...... 379 Tang, Zhihui...... 138 Thomson, Cynthia...... 561 Tsai, Jerry...... 262, 511 Tanouchi, Y...... 414 Thurman, David J...... 420 Tsai, Kao-Tai...... 211 Tao, Jiang...... 314 Thurston, Sally W...... 73, 132, 568 Tsakiri, Katerina G...... 532 Tarpey, Thaddeus...... 290 Tian, C. J...... 472 Tsao, Chun-Fu...... 134 Tarricone, Celeste...... 478 Tian, Guo-Liang...... 420 Tsay, Ruey S...... 298, 415 Tarter, Michael E...... 382 Tian, Lili...... 379 Tse, Chris...... 460 Tasdan, Feridun...... 68, 417 Tian, Lu...... 158 Tseng, George C...... 609 Taslim, Cenny...... 233 Tian, Suyan...... 163 Tseng, Yi-Kuan...... 468 Tateishi, Shohei...... 562 Tiao, George...... 232 Tsodikov, Alexander...... 168, 370 Tavare, Simon...... 495 Tibbits, Matthew M...... 602 Tsokos, Chris P...... 168, 422 Tavares, Ricardo...... 398 Tierney, Luke...... 164 Tsong, Yi...... 233, 280, 329, 463, CE_07C Taylor, Charles...... 98 Tighiouart, Mourad...... 211, 531 Tsou, Hsiao-hui...... 528 Taylor, Dick...... 255 Tiller, Richard...... 125 Tsvirkunova, Olena...... 436 Taylor, Jeremy...... 54, 249, 259 Tilley, Barbara C...... 439 Tu, Xin M...... 419 Taylor, Jonathan...... 93, 356 Tingley, Dustin...... 568 Tucker, Clyde...... 365, 554 Taylor, Mark...... 285 Titova, Natalya...... 128 Tuglus, Catherine...... 20 TBD, TBD...... 242, 264, 269, 355, 580, 594 Tiwari, Hemant...... 96 Tung, Yi-Liang...... 531 Tchetgen, Eric J...... 9 Tiwari, Jawahar...... 430 Tupek, Alan R...... 408 Tebaldi, Claudia...... 448 Tiwari, Ram C...... 262 Turek, Joan L...... 209, 273 Tebbs, Joshua M...... 380 Tiwari, Tejpratap...... 440 Turk, Philip...... 169 Teitler, Julien...... 127 Tobias, Randall...... 306, 320, CE_15C Turkman, Asuman...... 318 Tekle, Fetene B...... 472 Todd, Michael Jeremy...... 436 Turley, Patrick...... 570 Tekwe, Carmen D...... 437 Todem, David...... 561 Turner, Ian...... 37

276 JSM 2009 Index of Participants Name Session Name Session Name Session Turner, Mary Clair...... 284 Venkatesan, Rajkumar...... 302 Waltermaurer, Eve M...... 19 Turner, Ralph M...... 390, 439, 563 Venkatesan, Subramaniam...... 110 Wan, Hong...... 162 Tyler, Kristin M...... 380 Ver Hoef, Jay...... 497 Wan, Lin...... 223 Tymofyeyef, Yevgen...... 446 Vera-Licona, Paola...... 201 Wan, Shuyan (Sabrina)...... 526 Tymofyeyev, Yevgen...... 27, 123 Verbeke, Geert...... 136, 224, 525, CE_13C Wang, Antai...... 426 Tyson, David...... 498 Verbeke, Wouter...... 507 Wang, Bushi...... 123 Tzavidis, Nikos...... 492 Verducci, Joseph S...... 10, 502, 538, 572 Wang, Chamont Wei Hong...... 435 Tzeng, Jung-Ying...... 28 Vernon, Ian...... 593 Wang, Chia-Ning...... 380 Uddin, Nizam...... 565 Vespignani, Alessandro...... 192 Wang, Fangfang...... 415 Ulu, Yasemin...... 376 Vexler, Albert...... 379, 566 Wang, George H.K...... 130 Umbach, David...... 91 Viboud, Cecile...... 34 Wang, Haibin...... 531 Ungvarsky, Edward...... 299 Vidakovic, Brani...... 177, 220, 566 Wang, Hao...... 151 Unruh, Mark...... 213 Vidyashankar, Anand...... 545 Wang, Hong...... 204, 307 Unwin, Antony...... 40, 227, 553 Vieira, Verónica...... 32 Wang, Honggang...... 436 Urbain, Jean-Pierre...... 122 Viele, Kert...... 457 Wang, Hongkun...... 243 Urbanek, Simon ...... CE_26C Vigfusson, Robert...... 267 Wang, Hongwei...... 211, 233, 528 Urech, Tracy...... 285 Vila, Bryan...... 124 Wang, Huaguo...... 126 Uryniak, Tom...... 43 Villagran, Alejandro...... 353 Wang, Huixia (Judy)...... 159, 442 Utts, Jessica M...... 41, 188, 533 Villar, Ana...... 284 Wang, Jane-Ling...... 52 Vahl, Christopher I...... 162 Villena, Paul...... 571 Wang, Jean (Chinying)...... 26 Valdez, Emiliano A...... 587 Vining, Geoff G...... 142, 368 Wang, Jianming...... 233 Valdez, Rodolfo...... 555 Violanti, John M...... 124, 440 Wang, Jiantian...... 67 Valente, Thomas W...... 192 Vishnuvajjala, Lakshmi...... 361 Wang, Ji-Ping...... 564 Valeva, Anna...... 417 Vitek, Olga...... 221 Wang, Jiu...... 438 Valliant, Richard...... 33, 284, CE_11C Vo, Ba Tuong...... 308 Wang, Jung-Chao...... 227 van de Ven, Peter...... 306 Vo, Ba-Ngu...... 308 Wang, Junhui...... 401 Van den Poel, Dirk...... 507 Vogelsang, Tim...... 150 Wang, Lan...... 159 van der Laan, Mark J...... 9, 20, 291, 518, 581 Vogt, Andrew...... 478 Wang, Li (Lily)...... 15, 42, 112 van der Vaart, Aad...... 53 Vogt, Martin...... 248 Wang, Lianming...... 262, 506 van Dyk, David A...... 44, 199 von Sanden, Nicholas...... 261 Wang, Lifeng...... 562 van Erven, Tim...... 305 Voss, Dan...... 169 Wang, Liuxia...... 374 van Houwelingen, Hans C...... 111 Vovk, Vladimir...... 305 Wang, Luming...... 118 Van Meter, Emily M...... 322 Vsevolozhskaya, Olga...... 254 Wang, Mei-Cheng...... 25, 217, 518, 561 Van Mullekom, Jennifer...... 74 Vu, Duy...... 193 Wang, Minglong A...... 570 Van Ness, Peter H...... 83, 471 Vu, Vincent...... 341 Wang, Molin...... 24 van Norden, Simon...... 303 Vuga, Marike...... 555 Wang, Nae-Yuh...... 523 Vance, Eric...... 283, 593 Vyas, Nisarg...... 423, 568 Wang, Naisyin...... 371, 523 Vandenhende, François...... 360 Wager, Carrie...... 233 Wang, Nancy...... 236, 472 Vander Wiel, Scott...... 214, 226 Wager, Tor D...... 76 Wang, Nancy N...... 379 VanderWeele, Tyler...... 260, 295 Wagner, James...... 6 Wang, Ouhong...... 263 VanDyke, Rhonda...... 457 Wahba, Grace...... 189, 451 Wang, Pei...... 138, 250 Vannucci, Marina...... 225, 353, 360, 511, 535 Wahed, Abdus S...... 439, 581 Wang, Qin...... 138, 375 Vapiwala, Neha...... 168 Wahl, Richard L...... 467 Wang, Ranran...... 127 Vardeman, Stephen B...... 37 Wai, Chi...... 119 Wang, Rui...... 158 Varian, Hal...... 376 Wake, Virginia...... 114 Wang, Shubing...... 171, 224, 313 Vartivarian, Sonya...... 46, 167 Wakefield, Jon...... 200 Wang, Sijian...... 375, 562 Vastine, Robert...... 187 Walderhaug, Mark O...... 73, 285 Wang, Sue-Jane...... 56, 252, 359, 393, 460 Vatsa, Richa...... 611 Waldman, Scott...... 569 Wang, Suojin...... 424 Vaughan, Joel...... 16, 74 Walker, John...... 266 Wang, Wan-Lun...... 113 Vedantam, Shankar...... 352 Wallace, Mark...... 187 Wang, Wei...... 260 Veen, Alejandro...... 477 Waller, Jennifer L...... 316 Wang, Weichung...... 21 Vega, Clara...... 303 Waller, Lance A...... 61, 217, 292, 391 Wang, William...... 324 Velilla, Santiago...... 423 Wallet, Bradley C...... 271, 471 Wang, Xia...... 100 Velucchi, Margherita...... 38, 326 Wallman, Katherine...... 584 Wang, Xiaohui...... 374 Vengazhiyil, Roshan J...... 214 Walsh, Ronald...... 18 Wang, Xiaojing...... 112

Washington, DC 277 Index of Participants Name Session Name Session Name Session Wang, Xiaoyan...... 426 Wellington, John F...... 313 Williams, Daniel E...... 284 Wang, Xin V...... 378 Wellner, Jon A...... 53, 197 Williams, Jacqueline P...... 73 Wang, Xingbin...... 609 Wells, Beric...... 313 Williams, Karen P...... 561 Wang, Xinlei...... 378 Welsh, Robert C...... 468 Williams, Matthew...... 601, 608 Wang, Xueqin...... 96 Wen, Meggie...... 605 Williams, Rick...... 257 Wang, Yang...... 134 Wen, Miin-Jye...... 110 Williamson, David...... 7 Wang, Yazhen...... 541 Wen, Musen...... 610 Williamson, John M...... 380 Wang, Yibin...... 79 Wen, Shihua...... 27 Willis, Henry H...... 517 Wang, Ying-Fang...... 64 Wen, Yalu...... 223 Willoughby, Lisa M...... 127 Wang, Yining...... 429, 472 Wendelberger, James...... 118 Wilmes, Anja...... 233 Wang, Yishi...... 603 Wendelberger, Joanne R...... 447, 499 Wilson, Alyson... 143, 177, 226, 331, 397, 482 Wang, Yong...... 112 Wendt, Herwig...... 120 Wilson, Jason...... 80, 380 Wang, Yongmei (Michelle)...... 113, 318 Weng, Weifeng...... 285 Wilson, Jeffrey R...... 110 Wang, Yuchung J...... 219 Wermuth, Nanny...... 235 Wilson, Jonathan...... 228 Wang, Yuedong...... 157, 289 Werner, Reinartz...... 302 Winkler, Othmar W...... 173 Wang, Zhen...... 582 West, Brady T...... 167 Winkler, William E...... 71 Wang, Zheng...... 134 West, Kenneth...... 344 Winstein, Keith...... 253 Warde, William...... 169 West, Mike...... 141, 151, 304, 308, 414 Wirth, Norbert...... 70, 598 Warfield, Joseph...... 424 West, R. Webster...... 566 Witmer, Jeff...... 514 Waring, Stephen C...... 437 Westerhout, Cynthia M...... 468 Witt, Michael B...... 167, 327 Warren, Don R...... 515 Westfall, Peter...... 41, 188, 290, 575 Wittes, Janet...... 50, 486, 503 Warren, Stephen...... 406 Westveld, Anton...... 278 Wittkowski, Knut M...... 536 Wasserman, Larry...... 199 Weyand, Amber E...... 120 Woldie, Mammo...... 326 Wasserman, Stanley...... 192, 293 Whalen, Elizabeth A...... 245 Wolf, Bethany...... 433 Wathen, J. Kyle...... 25 Wheatcroft, Gloria...... 152, 284, 355 Wolf, Jennifer...... 590 Wattenberg, Frank...... 418 Wheeler, David C...... 292 Wolf, Katja...... 173 Waugh, Shawna...... 483 Whitaker, Jennifer N...... 519 Wolf-Branigin, Michael...... 285 Weaver, Mark...... 600 White, Andrew...... 19 Wolfe, Doug...... 10, 598 Weber, Michael...... 106 White, John T...... 374 Wolfson, David B...... 561 Webster, Thomas F...... 32 White, Ronald L...... 471 Wolfson, Julian...... 504 Weese, Maria...... 383 Whitehead, Nedra...... 257 Wolos, Cassandra K...... 518 Wefelmeyer, Wolfgang...... 112, 279 Whiting, David G...... 521 Woloshin, Steven...... 153 Wegkamp, Marten...... 402 Whitmore, George A...... 323 Wolpert, Robert L...... 201, 346 Wegman, Edward J...... 31, 40, 553, 580 Whittaker, Kyle...... 367 Wolter, Kirk...... 327 Wehrly, Tom...... 30 Wick, Jo...... 233 Wong, Erica...... 413 Wei, Fengrong...... 146 Wickham, Charlotte...... 227 Wong, Peggy...... 25 Wei, Lee-Jen...... 149 Wickham, Hadley...... 227, 387 Wong, Philip...... 283 Wei, Lee-Jen...... 87, 158 Wicklin, Rick...... 227 Wong, Seok...... 233 Wei, Rong...... 284, 440 Wiener, Joshua...... 7 Wong, Wing H...... 219 Wei, Wei...... 383 Wiens, Brian L...... 79, 233, 430 Wood, Ian A...... 378 Wei, William...... 515 Wijekularathna, Danush...... 133 Wood, Kevin...... 397 Wei, Xiaodan...... 224 Wikle, Christopher...... 247, 410, 500 Woodall, William H...... 27 Wei, Ying...... 116, 442 Wilcock, Jennifer L...... 380 Woodard, Dawn...... 593 Weidman, Lynn...... 109 Wild, Chris...... 45, 217 Woodard, LeChauncy D...... 285 Weinberg, Clarice R...... 91 Wildi, Marc...... 63 Woodcock, Simon...... 588 Weinberg, Daniel H...... 394 Wilding, Gregory E...... 285 Woodruff, Stephen...... 99 Weinberg, Janice...... 32 Wileyto, Paul E...... 377 Woodruff, Tracey...... 152 Weintraub, Eric...... 34 Wilke, Ralf...... 130 Woods, Dave...... 214, 306 Weintraub, William S...... 425 Wilkins, Kenneth J...... 425 Woodward, Mark...... 555 Weir, Bruce...... 135 Wilkinson, Leland...... 47 Woodward, Phil...... 427 Weisang, Guillaume...... 450, 610 Wilkinson, William E...... 195, 450 Woodward, Roger...... 461 Weiss, Robert E...... 64, 127, 272 Willemain, Thomas...... 602 Woodward, Wayne A...... 221, 467 Weissfeld, Lisa A...... 26, 213, 467 Williams, Andre A.A...... 379 Woodyard, Amerine...... 596 Weitzner, Daniel...... 148 Williams, Christopher J...... 525 Woolford, Sam...... 188, 450, 486 Welk, Gregory...... 365, 423, 568 Williams, D. Keith...... 380 Wooten, Karen...... 421

278 JSM 2009 Index of Participants Name Session Name Session Name Session Wooten, Terri...... 380 Xie, Wangang...... 105 Yang, Jingyuan...... 25 Wortham, James...... 264 Xie, Xian-Jin...... 380, 506 Yang, Jun...... 432 Wothke, Werner...... 387, 472 Xie, Yang...... 380 Yang, Kit Ling...... 439 Wouhib, Abera...... 124 Xing, Chen...... 52 Yang, Lijian...... 15, 30, 42 Wraith, Darren...... 455 Xing, Eric...... 304 Yang, Michael Yonghe...... 420 Wright, Adam...... 418, 590 Xiong, Chengjie...... 64, 213 Yang, Min...... 306 Wright, Fred A...... 520 Xiong, Hao...... 254 Yang, Ming...... 100 Wright, Jonathan H...... 344 Xiong, Momiao...... 254 Yang, Peiling...... 224 Wright, Stephen E...... 410 Xiong, Xiaoqin...... 24 Yang, Qiong...... 359 Wrolstad, Danielle M...... 271 Xiong, Zang...... 54 Yang, Shan...... 376 Wu, C.F. Jeff...... 21, 214 Xiu, Dacheng...... 279 Yang, Song...... 243 Wu, Chengqing...... 115 Xu, Baowei...... 415 Yang, Ting...... 423 Wu, Chengying...... 80, 236, 387 Xu, Dihua...... 268 Yang, Xing...... 611 Wu, Chih-Chieh...... 411 Xu, Hui...... 558 Yang, Xiting...... 132 Wu, Colin O...... 359, 393 Xu, Jian-Lun...... 607 Yang, Yan...... 526 Wu, Han-Ming...... 134 Xu, Jin...... 21 Yang, Yang...... 233 Wu, Hongsheng...... 359 Xu, Lei...... 224 Yang, Yang...... 383 Wu, Huaiqing...... 313 Xu, Liou...... 380 Yang, Ya-Wen...... 380 Wu, Hulin...... 400, 565, 600, 611 Xu, Qiang (Casey)...... 325 Yang, Yuhong...... 375 Wu, Jiaying...... 285 Xu, Stanley...... 111 Yang, Yunwen...... 566 Wu, Jincao...... 76 Xu, Tao...... 67 Yang, Yuqing...... 35 Wu, Lin...... 362 Xu, Tianhe...... 438 Yang, Zijiang...... 429 Wu, Michael...... 277 Xu, Wei...... 17 Yao, Fang...... 16, 254, 369, 501 Wu, Peng...... 532 Xu, Xia...... 172 Yasamin, Ahmad S...... 201 Wu, Ping-Shi...... 120 Xu, Xueli...... 156 Yashchin, Emmanuel...... 456 Wu, Tracy Z...... 159 Xu, Ya...... 31 Yates, Philip...... 117 Wu, Wensong...... 132 Xu, Yan...... 419 Yau, Nathan...... 227 Wu, Xiaoru...... 116 Xu, Yong...... 213, 422 Yazici, Berna...... 381, 424 Wu, Xiaowei...... 200 Xu, Yuan...... 213 Ye, Jingjing...... 233 Wu, Yichao...... 401, 494, 562 Xu, Yunling...... 591 Ye, Keying...... 482 Wu, Yuanshan...... 116 Xu, Zhiheng...... 211, 531 Ye, Lei...... 156 Wu, Yuefeng...... 62, 524 Xue, Hongqi...... 565 Yee, K. F...... 233 Wu, Yuehui...... 123 Yada, Katsutoshi...... 507 Yeh, Hung-Wen...... 111 Wu, Yujun...... 26, 224 Yakovlev, Andrei...... 417 Yen, Les...... 130, 267 Wu, Yukan...... 368 Yamamoto, Teppei...... 127 Yenigun, Deniz C...... 323 Wu, Yu-te...... 280 Yamamura, Mariko...... 375 Yi, Grace...... 24, 297 Wulfe, Martin...... 381 Yan, Jun...... 2, 587 Yi, Nengjun...... 473 Wun, Lap-Ming...... 60 Yan, Lihan...... 463 Yi, Qilong...... 285 Wyner, Abraham...... 395 Yan, Lihan K...... 67, 233 Yi, Sun...... 134 Xia, Jessie Qing...... 325 Yan, Ping...... 34 Yin, Guosheng...... 26 Xia, Jing...... 318 Yan, Xu...... 307 Yin, Kunshan...... 476 Xia, Kanru...... 421 Yan, Y.W...... 171 Yin, Wenjun...... 38, 118, 215, 570 Xia, Li...... 38, 118, 215, 423, 570 Yanagihara, Hirokazu...... 375, 431 Yin, Xiangrong...... 138, 194, 375 Xia, Yanping...... 29 Yanamandra-Fisher, Padma...... 170 Ying, Lisa...... 325 Xiang, Liming...... 270 Yancey, Kristin...... 319 Ying, Zhiliang...... 116 Xiao, Guanghua...... 378, 380 Yancy, Jr., William S...... 263 Yitbarec, Anbessie...... 456 Xiaofei, Wang...... 520, 606 Yang, Chengwu...... 439 Yitbarek, Anbessie A...... 245 Xie, Dawei...... 342 Yang, Cindy...... 17 Yitzhaki, Shlomo...... 173 Xie, Hansheng...... 321 Yang, Dan...... 431 Ylvisaker, Donald...... 403 Xie, Hui...... 24, 477 Yang, Guohui...... 169 Yoo, Jae Keun...... 605 Xie, Hui...... 609 Yang, Hong...... 73, 430 Yoo, Mina...... 523 Xie, Jichun...... 373, 428 Yang, Hongxia...... 62 Yoo, Wonsuk...... 436 Xie, Ming...... 38, 118, 215, 423, 570 Yang, Huyuan...... 103 Yoon, Frank B...... 568 Xie, Minge...... 416, 522 Yang, Jean Y.H...... 562 Yoon, Youngjoo...... 215 Xie, Tailiang...... 592 Yang, Jie...... 223 Yoshida, Ryo...... 304

Washington, DC 279 Index of Participants Name Session Name Session Name Session You, L...... 414 Zaccaro, Daniel...... 111 Zhang, Jing...... 378 Youll, Robin...... 104 Zador, Paul...... 585 Zhang, Jing...... 410 Youn, Sungjin...... 321 Zadrozny, Peter...... 413 Zhang, Jing (Jenny)...... 24 Young, Dean...... 437 Zagar, Anthony...... 263 Zhang, Jingjin...... 298 Young, Eric...... 86 Zahn, Doug...... 577 Zhang, Jingyang...... 132 Young, John C...... 381 Zaidi, Akbar...... 34 Zhang, Joanne...... 233, 463 Young, Karen D.S...... 37 Zaihra, Tasneem...... 315 Zhang, Kai...... 475 Young, Linda J...... 137, 299, 459 Zakharevich, Michael...... 436 Zhang, Lijing...... 111 Young, Robin L...... 32 Zakharkin, Stanislav...... 436 Zhang, Lu...... 130 Young, S. Stanley...... 325, 383, 464 Zakzeski, Audra...... 18 Zhang, Mei-Jie...... 603 Younger, Novie...... 185, 439, 600 Zand, Martin S...... 545 Zhang, Min...... 323 Yousef, Waleed A...... 361 Zaretzki, Russell L...... 604 Zhang, Mingyuan...... 295 Youssef, Abdou...... 319 Zaslavsky, Alan M...... 76, 216, 458 Zhang, Peng...... 568 Yu, Alan...... 17 Zaslavsky, Boris G...... 233, 591 Zhang, Peng-Liang...... 26 Yu, Bin...... 11, 341, 516 Zayatz, Laura...... 90, 321 Zhang, Rongmei...... 260 Yu, Binbing...... 439 Zaykin, Dmitri...... 135, 359 Zhang, Shenghai...... 34 Yu, Bing...... 127 Zeebari, Zangin A.A...... 319 Zhang, Shiju...... 270 Yu, Chang...... 379, 380 Zeger, Scott...... 49 Zhang, Shucha...... 221 Yu, Chi Wai...... 305 Zeitler, David...... 290, 336, 557 Zhang, Shunpu...... 275 Yu, Cindy L...... 409, 541 Zell, Elizabeth R...... 25, 116, 427, 440 Zhang, Shuping...... 325 Yu, Daohai...... 323, 481 Zelterman, Daniel...... 379 Zhang, Song...... 506 Yu, Fang...... 105 Zempléni, András...... 382 Zhang, Wei...... 476 Yu, Hao...... 485 Zeng, Cathy...... 233 Zhang, Weimin...... 314 Yu, Kai...... 359 Zeng, Chan...... 111 Zhang, Xiaoxi...... 171 Yu, Ke...... 298 Zeng, Donglin...... 64, 146, 249, 433, 440, 451 Zhang, Xingyou...... 422, 438 Yu, Keming...... 159 Zeng, Leilei...... 297 Zhang, Xinyan...... 603 Yu, Li...... 10, 538 Zeng, Peng...... 121 Zhang, Xu...... 603 Yu, Lianbo...... 526 Zeng, Yong...... 376 Zhang, Yanwei...... 233 Yu, Mandi...... 519 Zerom, Dawit...... 30 Zhang, Yi...... 432 Yu, Qin...... 419 Zey, Mary...... 515 Zhang, Ying...... 233 Yu, Qingzhao...... 278, 436 Zhan, Tingting...... 277 Zhang, Ying...... 412 Yu, Qiqing...... 29 Zhang, Aijun...... 119 Zhang, Yong...... 79 Yu, Tianwei...... 436 Zhang, Bin...... 118, 215, 423, 570 Zhang, Yu...... 378 Yu, William...... 60 Zhang, Bin...... 275 Zhang, Yulei...... 382 Yu, Xiang...... 526 Zhang, Bin...... 596 Zhang, Zheng...... 440 Yu, Yan...... 130, 159 Zhang, Bo...... 284 Zhang, Zhengjun...... 15 Yu, Yongyi (Alan)...... 17 Zhang, Chenhua...... 431 Zhang, Zhiwei...... 273 Yu, Zhangsheng...... 64 Zhang, Chunming...... 51 Zhang, Zhiwei...... 307 Yu, Zhou...... 605 Zhang, Cindy...... 579 Zhang, Zhongxin (John)...... 43 Yuan, Guocheng...... 225 Zhang, Cun-Hui...... 276, 558 Zhang, Zugui...... 162 Yuan, Ke-Hai...... 431, 560 Zhang, Daowen...... 24, 424 Zhang, Zugui...... 425, 440 Yuan, L...... 549 Zhang, Donghui...... 276, 529 Zhao, Cathy...... 605 Yuan, Ming...... 535 Zhang, Fan...... 167, 284 Zhao, Enxu...... 216 Yuan, Weishi...... 211 Zhang, Guangyu...... 76 Zhao, Hongyu...... 130, 372 Yuan, Xing...... 433 Zhang, Haimeng...... 561 Zhao, Lili...... 423 Yuan, Yang ...... Zhang, Hao (Helen).. 215, 401, 436, 494, 535 Zhao, Meng...... 243 Yuan, Yanling...... 498 Zhang, Heping...... 96, 291 Zhao, Meng...... 370 Yuan, Ying...... 220 Zhang, Hong...... 284 Zhao, Peng-Liang...... 224, 547 Yuan, Ying...... 26, 552 Zhang, Hongmei...... 278 Zhao, Xin...... 280 Yucel, Recai M...... 136, 216 Zhang, Huaiye...... 270 Zhao, Yan D...... 79 Yu-Chin, Hsu...... 212 Zhang, Hui...... 419 Zhao, Yang...... 211 Yue, Yu...... 410, 506 Zhang, Ji...... 547 Zhao, Yanli...... 324 Yumoto, Futoshi...... 132 Zhang, Jiajia...... 468 Zhao, Yichuan...... 243, 609 Yurova, Yuliya V...... 130 Zhang, Jian...... 105 Zhao, Yihong...... 353 Zabelsky, Thomas E...... 345 Zhang, Jianliang...... 572 Zhao, Yonggang...... 505

280 JSM 2009 Index of Participants Name Session Name Session Name Session Zhao, Yueqin...... 35 Zhou, Jing...... 212, 523 Zhu, Qiaohao...... 221 Zhao, Yufan...... 322 Zhou, Lisa...... 472 Zhu, Shuying...... 245, 456 Zhao, Zhanyun...... 420 Zhou, Mai...... 220, 609 Zhu, Wensheng...... 96 Zhao, Zhen...... 167, 567 Zhou, Ming...... 475 Zhu, Xiaofeng...... 440 Zhao, Zhigen...... 559 Zhou, Nengfeng...... 138 Zhu, Yanni...... 379 Zhen, Boguang...... 591 Zhou, Qing...... 219 Zhu, Ying...... 130 Zheng, Cheng...... 221 Zhou, Susan...... 324 Zhu, Zhengyuan...... 259, 432 Zheng, Gang...... 67, 135, 393, 470, 586 Zhou, Weihua...... 468 Zhu, Zhou...... 233 Zheng, Lingyu...... 515 Zhou, Xiao-Hua (Andrew)... 24, 159, 179, 528 Zhuang, Lili...... 559 Zheng, Tian...... 127, 284 Zhou, Yan...... 172 Zhuravlev, Mikhail...... 435 Zheng, Yan...... 280 Zhou, Yan Yan...... 233 Zia, Lee...... 22 Zheng, Yanbing...... 380 Zhou, Yingchun...... 280 Zieffler, Andrew...... 290, 575 Zheng, Yingye...... 196, 361 Zhou, Yong...... 112 Ziegenfuss, Jeanette K...... 152 Zhong, Jinglin...... 78, 463 Zhu, Bin...... 259 Zieschang, Kim...... 550, 578 Zhong, John...... 324 Zhu, Chao...... 233 Zigler, Corwin M...... 504 Zhong, Pingshou...... 431 Zhu, Haiyuan...... 36 Ziliak, Stephen T...... 153 Zhou, Bingqing...... 426 Zhu, Hong...... 561 Zima, Bonnie...... 285 Zhou, Chunxiao...... 113 Zhu, Hongjian...... 115 Zimmerman, Rae...... 517 Zhou, Feifei...... 561 Zhu, Hongtu...... 52, 101, 220 Zimmerman, Tabitha...... 34 Zhou, Haibo...... 116 Zhu, Hongxiao...... 200 Zodet, Marc...... 60 Zhou, Haiyan...... 195 Zhu, Ji...... 138, 170, 250, 354, 378, 379, 534, Zöllner, Sebastian...... 91 Zhou, Harrison...... 501 538, 562 Zou, Fei...... 411, 520 Zhou, Hong...... 285 Zhu, Jian...... 284 Zou, Hui...... 51, 138, 159 Zhou, Hong...... 34 Zhu, Jun...... 203, 380, 497 Zou, Kelly H...... 233 Zhou, Hui...... 433 Zhu, Lan...... 72 Zuba, Michael...... 14 Zhou, Jianhui...... 438, 523 Zhu, Li...... 61 Zubovic, Yvonne...... 119 Zhou, Jihao...... 233 Zhu, Liping...... 194 Zurbenko, Igor...... 532 Zhou, Jin...... 135 Zhu, Li-Xing...... 194, 600, 605

Index of Advertisers Advertiser Page Advertiser Page

AAAS...... 62 Sarjinder Singh ...... 97 Brooks/Cole ...... 110 Salford Systems...... cover 3 Cambridge University Press ...... 32 SAS...... 22 CRC Press...... 142 Springer...... 230, 231 Cytel, Inc...... cover 2 SSC ...... 74 Duke University Press ...... 168 statistics.com...... Monday tab Elsevier...... 76 StatPoint/statgraphics...... cover 4 IRS...... 61 University of Michigan...... 136 MacKichan Software ...... 224 W. H. Freeman...... 178 Pearson ...... 222 Wiley-Blackwell ...... 166 RTI...... 116

Washington, DC 281 2009Contacts Association Contacts

Editor, The American Statistician Avital Cnaan John Stufken Kimberly Drews Matthew Gurka Editor, Journal of Agricultural, Monica Jackson Biological, and Environmental Robert Johnson Statistics Robert Lyles Carl J. Schwarz Peter Song International Ram Tiwari American Statistical Editors, Journal of Business & Biometric Society, Dipankar Bandyopadhyay Association Economic Statistics Hrishikesh Chakraborty Arthur Lewbel and Eastern North Andrew Finley Serena Ng President American Region Haoda Fu Sally C. Morton Editor, Journal of Ron Gangnon Eugene Huang Computational and Graphical President President-elect Renee Moore Statistics Lance Waller Sastry G. Pantula David van Dyk Roger Peng President-elect Jennifer Schumi Past President Editor, Journal of Educational Sharon-Lise Normand Brian Smith Peter Lachenbruch and Behavioral Statistics Secretary Programs Vice President David Rindskopf Maura Stokes 2009 Joint Statistical Meetings Alicia L. Carriquiry Editor, Technometrics Lloyd Edwards Treasurer Treasurer David M. Steinberg Scarlett Bellamy 2009 Spring Meeting J. Keith Ord Editor, Journal of Statistics Brent Coull Regional Committee Secretary Education Mahlet Tadesse (RECOM) Ronald L. Wasserstein William Notz Chen-Pin Wang Eric Feuer, President (Chair) Council of Chapters Chair Editor, Statistics in Amy Herring Committee of Presidents of John W. Hall Biopharmaceutical Research Karen Bandeen-Roche Statistical Societies (COPSS) Joseph Heyse F. Dubois Bowman President Council of Chapters Paul Rathouz Lance Waller Representatives Editor, Statistics Surveys Jianwen Cai President-elect John E. Boyer Susan Holmes Bradley Carlin Susan Hilsenbeck Sharon-Lise Norman Editors, Statistical Analysis and Peter Macdonald David Marker Data Mining Joanna Shih Past President Dan Heitjan Council of Sections Chair Arnold Goodman, Chandrika Eric Feuer Kamath, and Vipin Kumar José Pinheiro Janet P. Buckingham ENAR Standing/Continuing Regional Members of the Council of Sections Editors, Journal of Statistical Committee Chairs Software Council of the International Nominating Representatives Biometric Society David Banks Jan de Leeuw and Rocky Feuer Achim Zeileis Marie Davidian Jeri Mulrow Susan Ellenberg Sponsorship Thomas J. Santner Editor, CHANCE Timothy G. Gregoire Christine Clark Michael Larsen Rod Little Publications Representative Business Office Karen Kafadar Louise Ryan Editor, ASA/SIAM Book Series Eastern North American International Representative Lisa LaVange Regional Advisory Board Region Geert Verbeke (RAB) International Biometric Society Business Office Amy Herring, Chair 12100 Sunset Hills Road, Editors, Journal of the Ron Wasserstein Christopher S. Coffey Suite 130 American Statistical Executive Director Hormuzd A. Katki Reston, VA 20190 Association American Statistical Lan Kong Phone: (703) 437-4377 Association Yi Li Fax: (703) 435-4390 Applications and Case 732 North Washington Street Lillian Lin [email protected] Studies Alexandria, VA 22314-1943 Laura Meyerson www.enar.org David Banks Phone: (703) 684-1221 Gene Pennello Fax: (703) 684-6456 Tamara Pinkett Theory and Methods John Preisser Leonard Stefanski [email protected] www.amstat.org Douglas E. Schaubel Reviews Karla V. Ballman Dalene Stangl Craig Borkowf

282 JSM 2009 Institute of Mathematical Editors, The Annals of Statistics Statistics Susan Murphy and Bernard International President Silverman Nanny Wermuth Biometrics Society Executive Editor, Statistical Western North President-elect Science J. Michael Steele David Madigan American Region Past President Editor, IMS Bulletin Jianqing Fan President Xuming He Todd Alonzo Treasurer Editor, Lecture Notes- Rong Chen Monograph Series President-elect Anirban DasGupta Peter Lachenbruch Program Secretary Guenther Walther Managing Editor, Statistics & Past President Executive Secretary Probability John Neuhaus Marten Wegkamp Michael Phelan Secretary Editor, The Annals of Applied Council Statistical Society of Antje Hoering Probability Martin Barlow Canada-Executive Yuval Peres Frank Den Hollander Treasurer Iain Johnstone Mary Redman Editor, The Annals of Karen Kafadar President Probability Xiao-Li Meng Roman Viveros-Aguilera Program Coordinator Ofer Zeitouni Weng Kee Wong Business Office President-elect Editor, The Annals of Applied Elyse R. Gustafson, Bovas Abraham Representatives at-Large Statistics Executive Director Jennifer Hoeting Past President Bradley Efron P.O. Box 22718 Christian Genest Rhonda Rosychuk Beachwood, OH 44122 Ying Lu Phone: (216) 295-2340 Secretary Kathy Prewitt Fax: (216) 295-5661 Paul Cabilo Loki Natarajan Roy St. Laurent [email protected] Treasurer Laura Cowen www.imstat.org Edward Chen Walter Piegorsch Publications Officer Wendy Lou IBS Council Representatives John Neuhaus Business Office Elizabeth Thompson Statistical Society of Canada 577 King Edward Avenue Business Office Ottawa, ON Canada K1N 6N5 WNAR Membership Services Phone: (613) 562-5320 Cancer Research and Fax: (613) 565-6774 Biostatistics 1730 Minor Avenue, [email protected] Suite 1900 www.ssc.ca Seattle, WA 98101-1468 [email protected]

Washington, DC 283 International Indian Statistical Association President International Subir Ghosh Chinese Statistical President-elect Association Ram C. Tiwari Past President President Malay Ghosh Jianqing Fan India Chapter President President-elect Ashis SenGupta Xuming He Secretary Past President Sneh Gulati Jane-Ling Wang Treasurers Executive Director Subrata Kundu Ming-Hui Chen Sudip Bose Treasurer Program Chair Yusong Chen Bhramar Mukherjee Board of Directors Program Co-Chairs Ying Qing Chen Nilanjan Chatterjee Waisum Chan Debajyoti Sinha Runze Li Aiyi Liu Mey Wang Yuedong Wang Yaning Yang Song Xi Chen Zehua Chen Wing K. Fung Wei Shen Yazhen Wang Gang Zheng Jianwen Cai Tony Cai Ouhong Wang Chunming Zhang Jun Zhu

284 JSM 2009