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MCC-204 A MCC-204 B H-Conrad C H-Conrad D H-Rochester MCC-206 AB SCHEDULE MINNEAPOLIS H-Director’s Row 3 H-Director’s H-Director’s Row 1 H-Director’s -Hyatt Regency Minneapolis Regency -Hyatt HY -Hilton Minneapolis Minneapolis -Hilton H GENERAL PROGRAM PROGRAM GENERAL 7:30 a.m.–6:00 p.m. MCC-Level 1, Registration Lobby 7:00 a.m.–11:00 p.m. Lobby MCC-Level 1, Registration (closed) Organizer(s): Margaret Smykla, Carnegie Mellon University JSM Main Registration The ASA Communities Booth Desk Special Assistance and Press Recruitment (closed) Chair(s): Dayanand Naik, Old Dominion University 7:00 a.m.–9:00 a.m. Committee Social Statistics Section Executive Meeting (closed) Chair(s): Gerald Gates, U.S. Census Bureau 7:00 a.m.–10:00 a.m. Ethics (closed) Committee on Professional Fordham University Chair(s): William Seltzer, 7:00 a.m.–6:00 p.m. Room Speaker Work 7:00 a.m.–6:00 p.m. Room Speaker Work Cyber Café and Message Center 7:30 a.m.–9:00 a.m. Committee on Nominations (closed) Chair(s): Jeremy Wu, Wu & Associates 7:30 a.m.–9:00 a.m. Carnegie Mellon Alumni and Faculty Breakfast 7:00 a.m.–8:30 a.m. 7:00 a.m.–8:30 Executive on Statistical Graphics Section (closed) Committee State University Peruggia, The Ohio Chair(s): Mario 7:00 a.m.–8:30 a.m. and Historical ASA Archives Committee on the Materials Department of Agriculture Chair(s): Rich Allen, U.S. 7:00 a.m.–8:30 a.m. (closed) on Accreditation Force The ASA Task LLP Ernst & Young Chair(s): Mary Batcher, 7:00 a.m.–9:00 a.m. Retention and Committee on Membership

-Minneapolis Convention Center Center Convention -Minneapolis

H-Nicollet MCC H-Conrad A H-Conrad B H-Marquette H-Board Room 2 H-Board H-Redwing Room H-Director’s Row 2 H-Director’s H-Director’s Row 4 H-Director’s Presenter Presenter ✦ Tours Applied Session Session Applied ✺ Management Committee (closed) MONDAY, AUGUST 8 AUGUST MONDAY, Management Committee (closed) Committee/Business Meetings & Other Activities Other & Meetings Committee/Business Themed Session Session Themed Technometrics Denver University of Colorado, Organizer(s): Karen Kafadar, Chair(s): Nagambal Shah, Spelman College 7:00 a.m.–8:30 a.m. 7:00 a.m.–8:30 a.m. Committee on Minorities in Statistics (closed) 7:00 a.m.–8:30 a.m. JABES University Yale G. Gregoire, Chair(s): Timothy 7:00 a.m.–8:30 a.m. (closed) ASA SIAM Series Editorial Board Cornell University Chair(s): Martin Wells, Survey Review Committee Chair(s): Polly Phipps, Bureau of Labor Statistics Chair(s): Carolyn Rutter, Group Health Cooperative; Thomas Chair(s): Carolyn Rutter, McLaughlin, University of Massachusetts 7:00 a.m.–8:30 a.m. 7:00 a.m.–8:30 a.m. Executive Section on Health Policy Statistics Committee Meeting (closed) Committee Meeting (closed) Inc. Chair(s): Chester Bowie, Market Strategies, 7:00 a.m.–8:30 a.m. Executive Section on Government Statistics Section on Teaching of Statistics in the Health of Statistics Section on Teaching Committee Meeting Sciences Executive Forest University School of Ambrosius, Wake T. Chair(s): Walter Medicine 7:00 a.m.–8:30 a.m. 7:00 a.m.–8:30 a.m. TR05 - Twin Cities Highlights TR05 - Twin 9:00 a.m.–12:00 p.m. a.m.–12:00 9:00 Avenue 2nd Entrance, MCC-Main ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

8:00 a.m.–9:00 a.m. H-Board Room 3 10:30 a.m.–11:30 a.m. H-Director’s Row 1 Council of Chapters ISEF Breakfast (closed) Deming Lectureship Committee Business Meeting Chair(s): John Boyer, Kansas State University (closed) Chair(s): Randall K. Spoeri, Cerner Corporation 8:00 a.m.–9:30 a.m. H-Carver Committee on Applied Statisticians (open to all ASA 10:30 a.m.–12:00 p.m. H-Board Room 2 members) Council of Chapters Governing Board Chapter Chair(s): Mani Lakshminarayanan, Pﬁzer, Inc. Status Committee Meeting (closed) Chair(s): Tom Capizzi, Merck Research Laboratories; Ronald L. 8:00 a.m.–4:00 p.m. H-Duluth Wasserstein, Washburn University ASA/NCTM beyond AP Statistics Chair(s): James Matis, Texas A&M University 10:30 a.m.–12:00 p.m. H-Board Room 3 Council of Chapters Governing Board Executive 8:00 a.m.–6:00 p.m. MCC-Exhibit Hall C Committee Meeting (closed) Career Placement Service Chair(s): Tom Capizzi, Merck Research Laboratories; Ronald L. Wasserstein, Washburn University 8:00 a.m.–6:00 p.m. MCC-Exhibit Hall C Exhibitor Lounge 10:30 a.m.–12:00 p.m. H-Director’s Row 3 Section on Statistical Education Executive 9:00 a.m.–10:00 a.m. H-Rochester Committee (closed) Transportation Statistics Interest Group Chair(s): Robin Lock, St. Lawrence University Organizer(s): Promod Chandhok, Bureau of Transportation Statistics 12:00 p.m.–5:30 p.m. H-Redwing Room Council of Chapters Governing Board Meeting 9:00 a.m.–10:30 a.m. MCC-L100 F (closed) Academic Program Representatives (closed) Chair(s): Tom Capizzi, Merck Research Laboratories Chair(s): Sastry G. Pantula, North Carolina State University 12:30 p.m.–2:00 p.m. H-Director’s Row 2 9:00 a.m.–10:30 a.m. H-Board Room 3 Section on Bayesian Statistical Science Executive Council of Chapters Governing Board Planning Committee Meeting (closed) Meeting (closed) Chair(s): Malay Ghosh, University of Florida Chair(s): Tom Capizzi, Merck Research Laboratories 12:30 p.m.–2:00 p.m. H-Board Room 2 9:00 a.m.–11:00 a.m. MCC-L100 H Statistics in Medicine Editorial Board (closed) Advisory Committee on Continuing Education Organizer(s): Ralph B. D’Agostino, Boston University (closed) Chair(s): Nandini Kannan, The University of Texas at San Antonio 12:30 p.m.–2:00 p.m. H-Director’s Row 4 Section on Statistical Computing Executive 9:00 a.m.–5:00 p.m. MCC-Level 1, Registration Lobby Committee (closed) The ASA Marketplace Chair(s): Tim C. Hesterberg, Insightful Corp. 10:00 a.m.–6:00 p.m. MCC-Level 1, Registration Lobby 12:30 p.m.–2:30 p.m. HY-Lake Minnetonka Minneapolis Restaurant Reservations Desk IMS Editors Meeting 9:00 a.m.–6:00 p.m. MCC-Exhibit Hall C Organizer(s): Elyse Gustafson, Institute of Mathematical Statistics EXPO 2005 12:30 p.m.–2:30 p.m. HY-Cedar Lake IMS AOS Editors Meeting 9:00 a.m.–6:00 p.m. MCC-Exhibit Hall C Organizer(s): Elyse Gustafson, Institute of Mathematical Statistics The ASA Membership Booth #700 4:00 p.m.–5:00 p.m. H-Director’s Row 3 10:00 a.m.–2:00 p.m. MCC-207 AB JASA Reviews Associate Editors Meeting (closed) JSM 2006 Program Committee Meeting (closed) Chair(s): Robert Lund, Clemson University Chair(s): Lisa M. LaVange, Inspire Pharmaceuticals, Inc.

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H-Nicollet H-Conrad D HY-Regency SCHEDULE MINNEAPOLIS H-Board Room 3 H-Board H-Director’s Row 1 H-Director’s -Hyatt Regency Minneapolis Regency -Hyatt HY (closed) -Hilton Minneapolis Minneapolis -Hilton H GENERAL PROGRAM PROGRAM GENERAL (closed) A&M University Texas Organizer(s): Michael Longnecker, 5:00 p.m.–7:00 p.m. Statistical Society of Canada Reception welcome) (all are Organizer(s): David Binder 5:00 p.m.–6:30 p.m. 5:00 p.m.–6:30 and Biostatistics, of Iowa Statistics, University to (open only Science Departments Actuarial friends) alumni and University of Iowa Kirk, The Terry Organizer(s): 5:00 p.m.–6:30 p.m. Technology Journal of Quality 5:00 p.m.–6:30 p.m. Executive and Productivity Section on Quality (closed) Committee Meeting University of Washington Chair(s): Christina Mastrangelo, 5:00 p.m.–7:00 p.m. Alumni Reception A&M Statistics Department Texas -Minneapolis Convention Center Center Convention -Minneapolis

MCC MCC-102 A MCC-102 MCC-102 B H-Rochester H-Board Room 2 H-Board Presenter Presenter ✦ Applied Session Session Applied ✺ Themed Session Session Themed Undergraduate Statistics Education Meeting Statistics Undergraduate Interest Group for Statisticians Working in the for Statisticians Working Group Interest Medical Devices Area Administration Organizational Meeting for Possible Special Meeting for Possible Special Organizational Food and Drug Organizer(s): Estelle Russek-Cohen, U.S. Organizer(s): Jeff Hart, Texas A&M University Texas Organizer(s): Jeff Hart, 5:00 p.m.–6:00 p.m. 4:30 p.m.–6:00 p.m. 4:30 p.m.–6:00 p.m. Statistics Executive Section on Nonparametric Committee (closed) (closed) Pearl, The Ohio State University Organizer(s): Dennis 4:00 p.m.–6:00 p.m. 4:00 p.m.–6:00 p.m. for the Advancement of CAUSE: Consortium CDC/ATSDR Statisticians Open Meeting Statisticians CDC/ATSDR Safety Institute of Occupational National Karl Sieber, Organizer(s): and Health 4:00 p.m.–6:00 p.m. 4:00 p.m.–6:00 ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

5:00 p.m.–7:00 p.m. H-Salon B 5:30 p.m.–7:00 p.m. H-Director’s Row 3 NISS/SAMSI Reception Committee of Representatives to the AAAS Organizer(s): Alan F. Karr, National Institute of Statistical Sciences Chair(s): Michael P. Cohen, Bureau of Transportation Statistics

5:30 p.m.–7:00 p.m. H-Conrad C 5:30 p.m.–7:00 p.m. MCC-206 A Christian Statisticians’ Informal Discussion Section on Risk Analysis Business Meeting Organizer(s): Robert Mee, University of Tennessee Chair(s): David Banks, Duke University

5:30 p.m.–7:00 p.m. H-Marquette 5:30 p.m.–7:00 p.m. H-Director’s Row 2 The University of North Carolina Department of Section on Teaching Statistics in the Health Biostatistics and Statistics and Operations Sciences Business Meeting and Mixer Research Alumni Reception (by invitation only) Chair(s): Walter T. Ambrosius, Wake Forest University School of Organizer(s): Melissa Hobgood, University of North Carolina at Medicine Chapel Hill 5:30 p.m.–7:30 p.m. MCC-206 B 5:30 p.m.–7:00 p.m. MCC-102 E Section on Statistics in Epidemiology Executive Section on Statistical Consulting Business Meeting Committee Meeting (closed) Chair(s): Susan Devlin, The Artemis Group Organizer(s): Maya Sternberg, U.S. Centers for Disease Control and Prevention 5:30 p.m.–7:00 p.m. H-Imperial Suite ASA/NSF Federal Statistics Research Program 6:00 p.m.–7:00 p.m. H-Conrad A Reception (closed) Student Mixer (students only, included in Chair(s): Carolyn Kesner, The ASA registration fee) Chair(s): Dayanand Naik, Old Dominion University 5:30 p.m.–7:00 p.m. MCC-102 D Biometrics Section Annual Business Meeting 6:00 p.m.–7:30 p.m. HY-Mirage Room Chair(s): Marie Davidian, North Carolina State University Insightful Corporation Reception Organizer(s): Kim Kelly, Insightful Corp. 5:30 p.m.–7:00 p.m. H-LaSalle Social Statistics Section Business Meeting/Mixer 6:00 p.m.–7:30 p.m. MCC-102 C Chair(s): Gerald Gates, U.S. Census Bureau ASA Task Force on Accreditation Chair(s): Mary Batcher, Ernst & Young LLP 5:30 p.m.–7:00 p.m. H-Director’s Row 4 Section on Statistics and the Environment Business 6:00 p.m.–8:00 p.m. MCC-L100 G Meeting/Reception Korean Statisticians in America Meeting Chair(s): Jean D. Opsomer, Iowa State University Organizer(s): Sin-Ho Jung, Duke University

5:30 p.m.–7:00 p.m. H-Ramsey 6:00 p.m.–8:00 p.m. MCC-L100 E Section on Health Policy Statistics Business Gay and Lesbian Statisticians Caucus Meeting Meeting Organizer(s): Ralph Bradley, Bureau of Labor Statistics Chair(s): Carolyn Rutter, Group Health Cooperative; Thomas McLaughlin, University of Massachusetts 6:00 p.m.–9:00 p.m. MCC-L100 B Amgen Inc. Reception (closed—by invitation only) 5:30 p.m.–7:00 p.m. MCC-L100 A Organizer(s): Pam Pearson, Amgen Inc. Section on Statistics in Sports Business Meeting Chair(s): Scott M. Berry, Berry Consultants LLC 6:15 p.m.–7:15 p.m. MCC-207 AB President’s Invited Speaker Reception 5:30 p.m.–7:00 p.m. H-Carver (by invitation only) The Caucus for Women in Statistics Reception Chair(s): Fritz J. Scheuren, The University of Chicago Organizer(s): Julia Bienias, Rush University Medical Center

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MCC-L100 E MCC-L100 A MCC-L100 D MCC-L100 MCC-L100 C SCHEDULE MINNEAPOLIS -Hyatt Regency Minneapolis Regency -Hyatt HY -Hilton Minneapolis Minneapolis -Hilton H GENERAL PROGRAM PROGRAM GENERAL 7:00 a.m.–11:00 p.m. August 11 Thursday, 7:00 a.m.–10:30 a.m. Cyber Café Hours and Message Center August 6– Saturday, August 10 Wednesday, 8:15 a.m.–4:15 p.m. Tests Multiple Comparisons and Multiple The ASA University Tech Texas Instructor(s): Peter Westfall, CE_18C 8:15 a.m.–4:15 p.m. for Optimization Computational Statistics: Methods and Monte Carlo Integration the Environment The ASA, Section on Statistics and State University; Geof Instructor(s): Jennifer A. Hoeting, Colorado Givens, Colorado State University CE_15C p.m. 8:15 a.m.–4:15 Data Display Analysis and Statistical Graphics Section on Statistical The ASA, Holland, University; Burt Temple Richard M. Heiberger, Instructor(s): University Temple CE_16C 8:15 a.m.–4:15 p.m. Analysis for Spatial Data Modeling and Hierarchical on Bayesian Statistical Science The ASA, Section of Minnesota; Sudipto Carlin, University P. Instructor(s): Bradley of Minnesota; Alan E. Gelfand, Duke University Banerjee, University CE_17C

-Minneapolis Convention Center Center Convention -Minneapolis

H-Duluth H-Salon C MCC H-Conrad B H-Conrad MCC-L100 I

MCC-L100 G MCC-200 DE MCC-Seasons H-Redwing Room

HY-Lake Minnetonka HY-Lake Presenter Presenter ✦ Applied Session Session Applied ✺ Continuing Education (Fee Events) (Fee Education Continuing Themed Session Session Themed Instructor(s): Christy Chuang-Stein, Pﬁzer, Inc.; Alexei Dmitrienko, Inc.; Instructor(s): Christy Chuang-Stein, Pﬁzer, Eli Lilly and Company; Geert Molenberghs, Limburgs Universitair Centrum 8:00 a.m.–4:00 p.m. Theory and Applications Analysis of Clinical Trials: The ASA, Biopharmaceutical Section Castelloe, SAS Institute, Inc. CE_14C The ASA, Section on Teaching Statistics in the Health The ASA, Section on Teaching Sciences Instructor(s): Ralph O’Brien, Cleveland Clinic Foundation; John CE_13C 8:00 a.m.–4:00 p.m. Sample-size Analysis for Study Planning IMS Presidential Address Reception Address IMS Presidential Mathematical Statistics Organizer(s): Elyse Gustafson, Institute of Chair(s): Mario Peruggia, The Ohio State University; Tim C. University; Tim Chair(s): Mario Peruggia, The Ohio State Hesterberg, Insightful Corp. 9:15 p.m.–11:00 p.m. 7:30 p.m.–10:00 p.m. and Section on Joint Statistical Computing Section and Mixer Statistical Graphics Business Meeting Southern Methodist University Alumni Gathering Southern Methodist University University Organizer(s): Sheila Crain, Southern Methodist (by invitation only) Laboratories Organizer(s): Beverly Jacobsen, Merck Research 7:00 p.m.–10:00 p.m. 7:00 p.m.–9:00 p.m. 7:00 p.m.–9:00 p.m. Laboratories Reception Research Merck University of Washington Department of Department University of Washington Reception Biostatistics Alumni (Andrew) Zhou, University of Washington Organizer(s): Xiao-Hua (by invitation only) Steitz, John WileyOrganizer(s): Susanne & Sons, Inc. 6:30 p.m.–8:30 p.m. 6:30 p.m.–8:30 p.m. 6:30 p.m.–8:30 p.m. Reception & Sons, Inc., John Wiley ASA Membership Committee Longtime Member Longtime Committee ASA Membership only) (by invitation Reception University Naik, Old Dominion Chair(s): Dayanand 6:30 p.m.–7:30 p.m. 6:30 p.m.–7:30 ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

CE_19C MCC-L100 F California, Berkeley; Katherine S. Pollard, University of 1:00 p.m.–5:00 p.m. California, Santa Cruz; Merrill Birkner, University of California, Statistical Methods for Evaluating Tests and Berkeley Biomarkers in Medicine 9:50 a.m. Disc: Sunduz Keles, University of Wisconsin, Madison The ASA, Section on Statistics in Epidemiology 10:10 a.m. Floor Discussion Instructor(s): Margaret S. Pepe, University of Washington

CE_20C MCC-L100 J 77 MCC-200 H ✰ 1:00 p.m.–5:00 p.m. Publishing in Statistics Education Journals: Views Metaanalysis: Statistical Methods for Combining from the Editors—Invited the Results of Independent Studies International Association for Statistical Education, Section on Statistical Education The ASA Organizer(s): Carol J. Blumberg, Winona State University Instructor(s): Ingram Olkin, Stanford University Chair(s): E. Jacquelin Dietz, Meredith College 8:35 a.m. The Journal Teaching Statistics—✦ Neville Davies, RSS Invited Sessions 8:30 a.m.–10:20 a.m. Centre for Statistical Education 8:50 a.m. The Journal of Statistics Education: an International 75 MCC-211 A Journal on the Teaching and Learning of Statistics— ✦ W. Robert Stephenson, Iowa State University ✺ Practical Guidance for Collaborators and Their Clients—Invited 9:05 a.m. Promoting Research and Research Reporting in Section on Statistical Consulting Statistics Education: the SERJ Experience— ✦ Flavia Jolliffe, University of Kent; Iddo Gal, University of Organizer(s): Harold Dyck, California State University, San Bernardino Haifa; Carol J. Blumberg, Winona State University Chair(s): Harold Dyck, California State University, San Bernardino 9:20 a.m. Disc: Gilberte Schuyten, University of Gent 8:35 a.m. Tactical Missile Inventory and Spares Procurement— 9:40 a.m. Floor Discussion ✦ Janet Myhre, Reed Institute for Decision Science 9:20 a.m. A Collaborator and Client’s Guide to Solving Complex 78 MCC-102 F Problems with Data—✦ Arnold Goodman, UCI Center for ✺ Assessment of the Uncertainties of Small-area Statistical Consulting Estimators—Invited Section on Survey Research Methods, Section on 10:05 a.m. Floor Discussion Government Statistics, Social Statistics Section Organizer(s): Jane L. Meza, University of Nebraska Medical Center 76 MCC-201 AB ✺ Recent Advances in Multiple Testing—Invited Chair(s): Jane L. Meza, University of Nebraska Medical Center Biometrics Section, Section on Nonparametric 8:35 a.m. Design-consistent Domain Level Estimation in Surveys Statistics, ENAR, Business and Economics Statistics with Massive Nonresponse—✦ Daniela Cocchi, Section, WNAR, Biometrics Section University of Bologna; Enrico Fabrizi, University of Bergamo; Organizer(s): Sandrine Dudoit, University of California, Berkeley Carlo Trivisano, University of Bologna Chair(s): Sandrine Dudoit, University of California, Berkeley 9:00 a.m. Distribution of Sampling, Nonresponse, Reporting, and 8:35 a.m. Hierarchical False Discovery Rate Controlling Model Errors in Small-domain Estimators from the ✦ Procedures for the Statistical Analysis of Complex Current Employment Statistics Program— John L. Large-scale Data—✦ Daniel Yekutieli, Tel Aviv University Eltinge, Bureau of Labor Statistics; Julie B. Gershunskaya, Bureau of Labor Statistics; Larry L. Huff, Bureau of Labor 9:00 a.m. Generally Valid Resampling-based Multiple Testing Statistics Methods—✦ Katherine S. Pollard, University of California, Santa Cruz; Sandrine Dudoit, University of California, Berkeley; 9:25 a.m. On Mean Square Prediction Error Estimation in Small- ✦ Mark van der Laan, University of California, Berkeley area Estimation Problems— Shijie Chen, RTI International; Partha Lahiri, University of Maryland 9:25 a.m. Multiple Testing Procedures for Control of Tail Probability of Proportion of False Positives—✦ Mark van der Laan, 9:50 a.m. Disc: J. N. K. Rao, Carleton University University of California, Berkeley; Sandrine Dudoit, University of 10:10 a.m. Floor Discussion

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SCHEDULE MINNEAPOLIS MCC-213 AB Gail Burrill, Michigan State Gail Burrill, MCC-200 ABC -Hyatt Regency Minneapolis Regency -Hyatt Paul J. Roback, St. Olaf St. Roback, J. Paul ✦ ✦ HY Ronald D. Snee, Tunnell Consulting Tunnell Snee, Ronald D. ✦ Gregory F. Piepel, Battelle, Pacific Northwest Northwest Pacific Battelle, Piepel, Gregory F. Dawn Berk, University of Delaware Dawn Berk, ✦ ✦ -Hilton Minneapolis Minneapolis -Hilton H John Cornell, University of Florida; G. Geoffrey Vining, Vining, Geoffrey G. of Florida; University John Cornell, Arizona State University Douglas Montgomery, GENERAL PROGRAM PROGRAM GENERAL University S. Handcock, University of Washington; Adrian E. Raftery, Raftery, E. Adrian Washington; of University Handcock, S. of University Tantrum, M. Jeremy Washington; University of Washington Division ✦ and Learnings— ✦ College Research— Virginia Polytechnic Institute and State University Virginia Polytechnic delMas, University of Minnesota; Beth Chance, California Chance, Beth University of Minnesota; delMas, State University Polytechnic Teachers— Heidi Goldfarb, The Dial Corporation; The Dial Corporation; Heidi Goldfarb, Variables— Noise Undergraduate Statistics— the Mathematical Preparation of Prospective University of Minnesota; Statistics—Joan Garfield, 50th AnniversaryMixture Research—Invited of 50th 9:50 a.m. Lessons on Lesson Study— 10:15 a.m. Discussion Floor 9:00 a.m. Articles— Our 10 Most-valued Mixture Experiment 9:25 a.m. Mixture Experiment Research at DuPont—Contributions 9:50 a.m. Experiments with Control and Variable Mixture-process 10:15 a.m. Floor Discussion 83 Research- Develop To Using Japanese Lesson Study based Lessons in Statistics—Invited Section on Statistical Education State University Organizer(s): Beth Chance, California Polytechnic State University Chair(s): Beth Chance, California Polytechnic 8:35 a.m. Application to Upper-level an Japanese Lesson Study: 9:00 a.m. for Studying and Improving Vehicle Lesson Study as a 9:25 a.m. of Teachers The Impact of Japanese Lesson Study on 9:35 a.m. Networks— Clustering for Social Model-based 10:05 a.m. Floor Discussion 82 ✺ on Section and Productivity, Section on Quality Sciences Physical and Engineering Division Piepel, Battelle, Pacific Northwest Organizer(s): Gregory F. Minitab Inc. Chair(s): Scott Kowalski, 8:35 a.m. of Mixture Experiment Years An Overview of 50

-Minneapolis Convention Center Center Convention -Minneapolis MCC Elizabeth A. Stuart, Stuart, A. Elizabeth MCC-103 B MCC-200 G MCC-200 ✦ MCC-212 AB Kevin Quinn, Harvard Kevin Quinn, Judea Pearl, University of Judea Pearl, ✦ Presenter Presenter ✦ Arvid Sjölander, Karolinska Arvid Sjölander, ✦ ✦ Marc A. Scott, New York University York New Scott, A. Marc Sue M. Marcus, Mount Sinai School of Marcus, Sue M. ✦ ✦ James M. Robins, Harvard University Robins, James M. ✦ Applied Session Session Applied ✺ Eva Petkova, Columbia University; Thaddeus Tarpey, Wright Tarpey, Thaddeus Columbia University; Eva Petkova, University; Arthur Spirling, University of Rochester Arthur Spirling, University; treatment Confounding— Mathematica Policy Research, Inc.; Donald B. Rubin, Harvard Rubin, Donald B. Inc.; Research, Mathematica Policy the UK House of Commons— Sequences— Medicine ✦ State University Differences between the Groups— University Effects— California, Los Angeles Los California, Institutet; Juni Palmgren, Karolinska Institutet Juni Palmgren, Institutet; Approach— Disc: Joseph L. Gastwirth, George Washington University Washington George Gastwirth, Joseph L. Disc: Disc: Donald B. Rubin, Harvard University Rubin, Donald B. Disc:

Direct and Indirect Effects—Invited Direct and Causal Inference with Problematic Control Groups— Causal Inference with Problematic Themed Session Session Themed 9:05 a.m. Latent Space Models for Career Mobility Rules: Organizer(s): Adrian E. Raftery, University of Washington Organizer(s): Adrian E. Raftery, University of Washington Chair(s): Adrian E. Raftery, 8:35 a.m. Recovering Ideological Informationfrom Divisions of 81 New Latent Space Models for Social Science—Invited IMS, Social Statistics Section 9:50 a.m. 10:10 a.m. Discussion Floor 9:25 a.m. Trials— Quantifying Placebo Effect in Discontinuation 9:00 a.m. Score a Propensity When a Placebo Group Is Unethical: Organizer(s): Sue M. Marcus, Mount Sinai School of Medicine Organizer(s): Sue M. Marcus, Mount Sinai Chair(s): Justine Shults, University of Pennsylvania 8:35 a.m. Adjusting for Matching with Multiple Control Groups and Invited Business and Section on Health Policy Statistics, Economics Statistics Section, WNAR 80 ✺ 9:50 a.m. 10:10 a.m. Floor Discussion 9:25 a.m. Advances in Separation and Indirect of Direct Recent 9:00 a.m. Adjusted for Post- Effects Treatment Estimation of Organizer(s): Marshall M. Joffe, University of Pennsylvania Organizer(s): Marshall Joffe, University of Pennsylvania Chair(s): Marshall M. 8:35 a.m. Direct and Indirect Effects— ✰ ENAR, WNAR, on Statistics in Epidemiology, Section Section Biometrics 79 ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

84 MCC-200 DE 9:35 a.m. Group Sequential Clinical Trials with Multiple Primary ✺ ✰ Pharmacogenomics—Invited Endpoints—✦ Michael Kosorok, University of Wisconsin, Biopharmaceutical Section, ENAR, WNAR, Biometrics Madison; Shuangge Ma, University of Washington Section 10:05 a.m. Floor Discussion Organizer(s): Xiaohua Zhang, Merck Research Laboratories Chair(s): Xiaohua Zhang, Merck Research Laboratories 86 MCC-211 D 8:35 a.m. Haplotype Mapping in Pharmacogenetics—✦ David B. ✺ ✰ Nonstationary and Nonlinear Time-series Models— Goldstein, University College London Invited Business and Economics Statistics Section 9:00 a.m. Using Linkage To Inform Positional Cloning—✦ Mary Sara McPeek, The University of Chicago Organizer(s): Sastry G. Pantula, North Carolina State University 9:25 a.m. Likelihood-based Analysis for Mixture Models with Chair(s): John F. Monahan, North Carolina State University Applications to Genetic Linkage and Association 8:35 a.m. Model Diagnosis for SETAR Time Series—✦ Hira L. Studies—✦ Yongzhao Shao, New York University Koul, Michigan State University; Winfried Stute, Michigan State University; Fang Li, University of Giessen 9:50 a.m. Genetic Association Studies Using False Discovery Control with P-value Weighting—✦ Kathryn Roeder, 9:00 a.m. On Deformations Reducing Nonstationary Stochastic Carnegie Mellon University Processes to Stationarity—✦ Marc G. Genton, Texas A&M University 10:15 a.m. Floor Discussion 9:25 a.m. Two Nonlinear Models for Time Series—✦ David A. 85 MCC-200 F Dickey, North Carolina State University ✺ ✰ Recent Innovations in Clinical Trial Design—Invited 9:50 a.m. Bayesian Analysis of Threshold Autoregressive ENAR, Biopharmaceutical Section, WNAR, Biometrics Models—✦ Hamparsum Bozdogan, University of Tennessee; Section Yongjae Kwon, BBT; Halima Bensmail, University of Tennessee Organizer(s): Peter F. Thall, The University of Texas M. D. Anderson 10:15 a.m. Floor Discussion Cancer Center Chair(s): Peter F. Thall, The University of Texas M. D. Anderson 87 MCC-209 AB Cancer Center Statistical Models and Methods for Microarray Data— 8:35 a.m. Designs for Dynamic Treatment Regimes—✦ Philip W. Invited Lavori, Stanford University; Ree Dawson, Frontier Science IMS, Section on Nonparametric Statistics, WNAR, 9:05 a.m. Dose-ﬁnding Based on Multiple Ordinal Toxicities in Section on Statistical Graphics, Biometrics Section Phase I Oncology Trials—✦ Benjamin Neby Bekele, The Organizer(s): Cun-Hui Zhang, Rutgers, The State University of University of Texas M. D. Anderson Cancer Center; Peter F. New Jersey Thall, The University of Texas M. D. Anderson Cancer Center Chair(s): Cun-Hui Zhang, Rutgers, The State University of New Jersey 8:35 a.m. Large-p, Small-n Asymptotics for Signiﬁcance Analysis in High-throughput Screening—Michael Looking for a good Kosorok, University of Wisconsin, Madison; ✦ Shuangge Ma, University of Washington 9:00 a.m. Penalized Estimation for Sparse Gaussian Concentration place to eat? Graphs with Applications to Inference of Genetic Regulatory Networks—✦ Hongzhe Li, University of California, Davis; Jiang Gui, University of California, Davis 9:25 a.m. A Two-way, Semilinear Model for Normalization and Visit the Analysis of Microarray Data—✦ Jian Huang, The University of Iowa; Cun-Hui Zhang, Rutgers, The State Restaurant Reservations/ University of New Jersey Information Desk 9:50 a.m. Disc: Jianqing Fan, Princeton University MCC-Level 1, Registration Lobby 10:10 a.m. Floor Discussion

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Sergei Leonov, Sergei Leonov, SCHEDULE ✦ Yihua Zhao, U.S. U.S. Zhao, Yihua MINNEAPOLIS ✦ MCC-103 F Pai-Lien Chen, Chen, Pai-Lien ✦ Rosalie Dominik, Family Family Rosalie Dominik, ✦ Steven Buyske, Rutgers, Rutgers, Steven Buyske, -Hyatt Regency Minneapolis Regency -Hyatt ✦ HY Mekibib Altaye, Cincinnati Altaye, Mekibib ✦ Douglas Taylor, Family Health Family Taylor, Douglas Martijn Berger, Maastricht University Martijn Berger, ✦ ✦ -Hilton Minneapolis Minneapolis -Hilton H Vladimir Dragalin, GlaxoSmithKline; Valerii Fedorov, Fedorov, Valerii GlaxoSmithKline; Vladimir Dragalin, GENERAL PROGRAM PROGRAM GENERAL pregnancy Sensitivity Analysis— Sensitivity pregnancy Health International Ontario Western University of International Approach Zero— Cluster Sizes— The State University of New Jersey ✦ GlaxoSmithKline Agreement Studies— Studies of Contraceptive Devices— Studies of Contraceptive Children’s Hospital Medical Center; Allan Donner, The Allan Donner, Medical Center; Hospital Children’s International GlaxoSmithKline; Valerii Fedorov, GlaxoSmithKline; Vladimir GlaxoSmithKline; Fedorov, Valerii GlaxoSmithKline; GlaxoSmithKline Anisimov, Nonrandom Censoring: an Illustration of Time-to- an Illustration of Censoring: Nonrandom Health Family Marlina Nasution, Health International; Family and Food U.S. Gene Pennello, Administration; and Drug Food Administration Drug Minimal Information Loss— Studies When Control Event Rates Are Expected To To Are Expected RatesWhen Control Event Studies Do of a Contraceptive Device: Noninferiority Test To Agree with an RCT?— Results by Stochastic Differential Equations— Disc: Mark Weaver, Rho, Inc. Rho, Weaver, Mark Disc:

Optimal Experimental Design—Topic Contributed Optimal Experimental Design—Topic 9:55 a.m. Using Testing Adaptive Item Calibration in Computerized 10:15 a.m. Discussion Floor 9:55 a.m. 10:15 a.m. Floor Discussion 91 ✺ Biometrics Section, General Methodology, Biopharmaceutical Section Angeles University of California, Los Kee Wong, Organizer(s): Weng University of California, Los Angeles Kee Wong, Chair(s): Weng 8:35 a.m. Approach— Adaptive Selecting Drug Combinations: 8:55 a.m. Described Optimal Design of Pharmacokinetic Studies 9:15 a.m. Some Issues of Optimality in the Design of Interrater 9:35 a.m. Optimality of Nested Designs with Equal and Unequal 8:35 a.m. Model for Survival A Selection Data with Possible 8:55 a.m. Condom Failure Analysis of Noninferiority Design and 9:15 a.m. Rates in Clinical Adjustment for Pregnancy Age Indirect 9:35 a.m. Propensity Scores Analysis Using Historical Control

-Minneapolis Convention Center Center Convention -Minneapolis

MCC Tianxi Cai, Cai, Tianxi

✦ Lu Tian, Tian, Lu ✦ MCC-200 J MCC-103 D MCC-103 Wenbin Lu, North Lu, Wenbin MCC-202 AB ✦ Presenter Presenter Kani Chen, Hong Kong Kani Chen, ✦ ✦ Applied Session Session Applied ✺ Steven Fienberg, Carnegie Mellon University Steven Fienberg, Duke University David Banks, Carnegie Mellon University Kathleen Carley, Steven K. Thompson, The Pennsylvania State University The Pennsylvania Thompson, Steven K. Harvard University Status and Interval-censored Data— Northwestern University; Tianxi Cai, Harvard University Cai, Tianxi Northwestern University; Transformation Models— Transformation University of Science and Technology University of Science and Carolina State University ✦ ✦ ✦ ✦ Linear Transformation Models— Transformation Linear Nonparametric Transformation Model— Transformation Nonparametric Invited Panels 8:30 a.m.–10:20 a.m. a.m.–10:20 8:30 Panels Invited Statistical Issues in Contraceptive Devices— ✰ National Security Issues in the Design and Analysis of the Design and Security Issues in National Topic Contributed Sessions 8:30 a.m.–10:20 a.m. a.m.–10:20 8:30 Sessions Contributed Topic

Themed Session Session Themed Biopharmaceutical Section, WNAR Organizer(s): Rosalie Dominik, Family Health International San Francisco University of California, Chair(s): Stuart A. Gansky, 90 ✺ 9:55 a.m. Floor Discussion 9:35 a.m. Model for Current Time Accelerated Failure On the 9:15 a.m. Marginal Regression of Multivariate Event Based on 8:55 a.m. with Times Combining Markers for Predicting Event of Medicine of Medicine (Evelyn) Du, Albert Einstein College Chair(s): Yunling 8:35 a.m. The Generalized Estimating Equations for Biometrics Section, WNAR College (Evelyn) Du, Albert Einstein Organizer(s): Yunling 89 in Survival Models Transformation Semiparametric Contributed Analysis—Topic 10:15 a.m. Floor Discussion Panelists: Organizer(s): Peter Hoff, University of Washington Organizer(s): Peter Hoff, University of Washington Chair(s): Peter Hoff, ✰ Social Network Studies—Invited in Defense and National Section on Statisticians 88 Topic Contributed Topic Security, Social Statistics Section Security, ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

92 MCC-208 C 9:35 a.m. Default Priors for Neural Networks—✦ Herbert Lee, ✺ ✰ Recent Development in Bayesian Methods with University of California, Santa Cruz Missing Data—Topic Contributed 9:55 a.m. Mixtures of Self Modeling Bayesian Regression Section on Bayesian Statistical Science, Section on Splines—✦ Kert Viele, University of Kentucky; Mark Statistics in Epidemiology, ENAR, Biometrics Section, Lancaster, University of Kentucky WNAR, Biopharmaceutical Section 10:15 a.m. Floor Discussion Organizer(s): Ming-Hui Chen, University of Connecticut Chair(s): Joseph Hogan, Brown University 94 MCC-102 B 8:35 a.m. Small Sample and Asymptotic Relationships between Nonparametric Statistics in Biomedical Research— Multiple Imputation, Maximum Likelihood, and Fully Topic Contributed Bayesian Methods for Missing Data in Linear Section on Nonparametric Statistics, ENAR, Regression Models—✦ Qingxia Chen, The The University of Biometrics Section North Carolina at Chapel Hill; Joseph G. Ibrahim, The University Organizer(s): Cheng Cheng, St. Jude Children’s Research Hospital of North Carolina at Chapel Hill Chair(s): Cheng Cheng, St. Jude Children’s Research Hospital 8:55 a.m. Bayesian Regression Models of Nonignorable 8:35 a.m. Generalized Linear Models with Images as Predictors— Nonresponse—✦ Jai W. Choi, National Center for Health ✦ Philip Reiss, Columbia University; Todd Ogden, Columbia Statistics; Balgobin Nandram, Worcester Polytechnic Institute University 9:15 a.m. Sensitivity Analysis and Informative Priors for Longitudinal 8:55 a.m. On Averaging Power for Genetic Association and Binary Data with Outcome-related Dropout— Linkage Studies—✦ Jungnam Joo, National Heart, Lung, ✦ Joo Yeon Lee, Brown University and Blood Institute; Gang Zheng, National Heart, Lung, and 9:35 a.m. Bayesian Analysis of the Mixed Models for Repeated Blood Institute; Santhi K. Ganesh, National Heart, Lung, and Binary Response and Time-dependent Missing Blood Institute; Elizabeth G. Nabel, National Heart, Lung, and Covariates—✦ Lan Huang, National Cancer Institute; Blood Institute; Nancy L. Geller, National Heart, Lung, and Ming-Hui Chen, University of Connecticut; Paul R. Neal, Blood Institute University of Connecticut; Gregory J. Anderson, University of 9:15 a.m. Sample-size Determination for the False Discovery Connecticut Rate—✦ Stanley Pounds, St. Jude Children’s Research 9:55 a.m. Flexible Modeling of the Dependence Structure in Hospital; Cheng Cheng, St. Jude Children’s Research Hospital Missing Data Problems—✦ John Boscardin, University of 9:35 a.m. Detecting Gene-gene Interactions Using Multifactor California, Los Angeles; Xiao Zhang, University of California, Dimensionality Reduction—✦ Marylyn Ritchie, Vanderbilt Los Angeles University 10:15 a.m. Floor Discussion 9:55 a.m. Crossvalidated and Bagged Partitioning Estimators with Variable Importance—✦ Annette Molinaro, NCI/Yale 93 MCC-208 D University ✺ ✰ Bayesian Spatial and Functional Modeling— 10:15 a.m. Floor Discussion Topic Contributed Section on Bayesian Statistical Science, ENAR, WNAR, Biometrics Section 95 MCC-205 A ✺ ✰ Recent Statistical Contributions to Genetics and Organizer(s): Herbert Lee, University of California, Santa Cruz Epidemiology—Topic Contributed Chair(s): Robert B. Gramacy, University of California, Santa Cruz Biometrics Section, WNAR 8:35 a.m. Bayesian Modeling of Multicategory Spatial Data— Organizer(s): Tian Zheng, Columbia University ✦ Catherine Calder, The Ohio State University Chair(s): Cavan Reilly, University of Minnesota A Posteriori Analysis of Climate System Properties— 8:55 a.m. 8:35 a.m. Statistical Methods for Genetic Association Studies in ✦ Charles T. Curry, University of California, Santa Cruz; Bruno Isolated Populations—✦ Ning Sun, Yale University Sansó, University of California, Santa Cruz; Chris E. Forest, Massachusetts Institute of Technology 8:55 a.m. Mapping Quantitative Trait Loci with Time-to-event Data from a Population of Mixed Susceptibility— 9:15 a.m. Bayesian Inference on Mixture-of-experts for Estimation ✦ Mengling Liu, New York University; Wenbin Lu, North ✦ of Stochastic Volatility— Gabriel Huerta, The University of Carolina State University; Yongzhao Shao, New York University New Mexico

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SCHEDULE MINNEAPOLIS Robert M. Baskin, Agency Baskin, Robert M. -Hyatt Regency Minneapolis Regency -Hyatt ✦ HY Trena M. Ezzati-Rice, Agency for Healthcare Agency for Healthcare Ezzati-Rice, M. Trena Lap-Ming Wun, Agency for Healthcare Research Agency for Healthcare Research Wun, Lap-Ming ✦ ✦ Nuria Diaz-Tena, Mathematica Policy Research, Research, Mathematica Policy Nuria Diaz-Tena, ✦ -Hilton Minneapolis Minneapolis -Hilton H GENERAL PROGRAM PROGRAM GENERAL and Quality; Trena M. Ezzati-Rice, Agency for Healthcare Ezzati-Rice, M. Trena and Quality; for Healthcare Research and Quality; Sourish Saha, Agency for Sourish Saha, and Quality; for Healthcare Research Agency for John Fleishman, Quality; Healthcare Research and Research and Quality; Ralph DiGaetano, Westat; Huseyin Huseyin Westat; Ralph DiGaetano, Research and Quality; Westat Hao, Hongsheng Westat; Goksel, Quality (MEPS)— Research and Quality Research and Quality Healthcare Research and Lap-Ming Wun, Agency for Healthcare Research and Quality; for Healthcare Research and Quality; Agency Wun, Lap-Ming for Healthcare Research and Agency Ezzati-Rice, M. Trena Quality; Inc.; Janet Greenblatt, Agency for Healthcare Research and Janet Greenblatt, Inc.; and Quality; and Quality; varying Variables with Missing Values in the Medical Values with Missing Variables varying Survey—Expenditure Panel to Compensate Nonresponse for Dwelling Unit Weights Survey Panel (MEPS)— in the Medical Expenditure Assess the Effectiveness of Nonresponse To (NHIS) Survey Adjustment in the Medical Expenditure Panel 9:35 a.m. Using Data from the National Health Interview Survey 8:55 a.m. Time- Investigationfor Models of Random-effects 9:15 a.m. Adjusting for Assessment of Methods Full Sample -Minneapolis Convention Center Center Convention -Minneapolis

Regina

MCC ✦ MCC-102 E Presenter Presenter ✦ Tian Zheng, Columbia University; Hui Wang, Wang, Hui Columbia University; Zheng, Tian Yuanjia Wang, Columbia University Wang, Yuanjia ✦ ✦ Applied Session Session Applied ✺ Robert M. Baskin, Agency for Healthcare Research Baskin, Survey—Robert M. Agency for Healthcare Research John Sommers, and Quality; Agency for Healthcare Research Zodet, W. Marc and Quality; Dolgoarshinnykh, Columbia University Dolgoarshinnykh, onset Distributions from Censored Kin-cohort from Censored onset Distributions Studies— Columbia University; Shaw-Hwa Lo, Columbia University Lo, Shaw-Hwa Columbia University; Estimation in the Medical Expenditure Panel Estimation in the Medical Expenditure Panel Mapping— Statistical Methods Research in the Medical Statistical Methods Themed Session Session Themed Expenditure Survey—Topic Contributed Expenditure Survey—Topic 8:35 a.m. Variance Investigation of the Impact of Imputation on Section on Survey Research Methods Research Section on Survey M. Ezzati-Rice, Agency for Healthcare Research Organizer(s): Trena and Quality Westat Chair(s): Leyla Mohadjer, 96 ✺ 10:05 a.m. Floor Discussion 9:55 a.m. Screening Method for QTL A Nonparametric Multipoint 9:35 a.m. Endemic Infection— Outcome of an Final 9:15 a.m. Age-at- Estimation Nonparametric of Genotype-speciﬁc, ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

9:55 a.m. Confidence Intervals for Skewed Health Care 9:35 a.m. Distributional Aspects of P-values and Their Use in Expenditure Data from the Medical Expenditure Panel Multiple Testing Situations—✦ Xiaojun Hu, University of Survey (MEPS)—✦ William Yu, Agency for Healthcare Missouri, Rolla; Gary Gadbury, University of Missouri, Rolla Research and Quality 9:50 a.m. Simultaneous Confidence Bounds for Ratios of Linear 10:15 a.m. Floor Discussion Combinations of General Linear Model Parameters— ✦ David Hare, University of Louisiana, Monroe; John Spurrier, University of South Carolina Topic Contributed Panels 8:30 a.m.–10:20 a.m. 10:05 a.m. Relating Genotype to Phenotype: Resampling-based Multiple Hypothesis Testing Using Order Statistics— 97 MCC-205 D ✦ Jennifer Schumi, Harvard School of Public Health; Victor ✺ Privacy and Data Use in the New Technological DeGruttola, Harvard School of Public Health Environment—Topic Contributed Section on Government Statistics, Social Statistics 99 MCC-208 B Section, Section on Statisticians in Defense and ✺ ✰ Biomedical Nonlinear Models—Contributed National Security Biometrics Section, WNAR Organizer(s): Wendy Alvey, U.S. Census Bureau; Irma F. Harahush, Chair(s): Jeff Qin, Georgia State University U.S. Census Bureau 8:35 a.m. Poisson-binomial Models for Aseptic Packaging of Chair(s): Charles Louis Kincannon, U.S. Census Bureau Foods—✦ Robert J. Blodgett, U.S. Food and Drug Panelists: ✦ Wendy Alvey, U.S. Census Bureau Administration ✦ Vincent P. Barabba, Synthesis Alliance 8:50 a.m. Modeling Predictors for Blood Transfusion in Patients ✦ ✦ Rochelle Martinez, U.S. Census Bureau with Small and Large Bowel Procedures— Yen-Hong Kuo, Jersey Shore University Medical Center; John M. Davis, ✦ Gerald Gates, U.S. Census Bureau Jersey Shore University Medical Center ✦ Lisa Blumerman, U.S. Census Bureau 9:05 a.m. The Stochastic Modeling of the Sleep-wakefulness 10:15 a.m. Floor Discussion Process with the Development of a Sleep Index for Clinical Applications—✦ Marilisa Gibellato, The Ohio State University; Haikady Nagaraja, The Ohio State University Regular Contributed Sessions 8:30 a.m.–10:20 a.m. 9:20 a.m. A Markov Model for Repeated Sexually Transmitted Infections—✦ Wanzhu Tu, Indiana University School of 98 MCC-205 B Medicine Topics in Multiple Testing—Contributed 9:35 a.m. Prediction of Survival for Patients Awaiting Liver Biometrics Section, WNAR Transplantation—✦ Chung-Chou Chang, University of Chair(s): Thomas Nichols, University of Michigan Pittsburgh; Zekarias Berhane, Drexel University; Lisa Weissfeld, University of Pittsburgh 8:35 a.m. Generalized Family-wise Error Rates for Threshold Step-down Multiple Testing Procedures—✦ Alexander Y. 9:50 a.m. Spatial Statistical Analysis of Plasma Membrane Sterol Gordon, University of Rochester Distribution—✦ Weimin Zhang, Texas A&M University; Avery L. McIntosh, Texas A&M University; Jyh-Charn Liu, Texas A&M 8:50 a.m. Hyperdependency in Multiple Dependent Analyses— University; Suojin Wang, Texas A&M University ✦ Sarah Baraniuk, The University of Texas Health Science Center at Houston; Lemuel Moye, The University of Texas 10:05 a.m. Confidence Intervals for the Ratio of Two Proportions: Health Science Center at Houston a Review and Evaluation of Methods—✦ James Lymp, Child Health Institute; Ross A. Dierkhising, Mayo Clinic 9:05 a.m. Control of Some Type I Error Rates in the Presence of General Augmentation Procedures in Multiple Testing and Some Applications—✦ Marepalli Rao, University of Cincinnati; Wenge Guo, University of Cincinnati 9:20 a.m. What Is Type II Error in Multiple Testing?— ✦ Mohammed Alam, University of Cincinnati; Marepalli Rao, University of Cincinnati

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Yongku Kim, Kim, Yongku Qianqiu Li, The Qianqiu Li, SCHEDULE ✦ ✦ MINNEAPOLIS MCC-211 B MCC-210 AB Xian Zhou, The University Xian Zhou, -Hyatt Regency Minneapolis Regency -Hyatt Yongcheng Qi, University of Qi, Yongcheng ✦ ✦ HY William G. Hanley, Lawrence Hanley, William G. ✦ Rajib Paul, The Ohio State University; Mark The Ohio State University; Rajib Paul, Mame Astou Diouf, University of Montreal; of Montreal; University Astou Diouf, Mame ✦ ✦ Xuemei Wang, The University of Texas M. D. D. M. Texas The University of Wang, Xuemei ✦ -Hilton Minneapolis Minneapolis -Hilton H GENERAL PROGRAM PROGRAM GENERAL Berliner, The Ohio State University; Noel Cressie, The Ohio Noel Cressie, The Ohio State University; Berliner, The Ohio State University Kenneth Jezek, State University; Minnesota; Xiaoyue Niu, University of Minnesota Xiaoyue Niu, Minnesota; Jean-Marie Dufour, University of Montreal University Dufour, Jean-Marie Livermore National Laboratory; Gardar Johannesson, Gardar Johannesson, Livermore National Laboratory; Myers, Stephen C. Lawrence Livermore National Laboratory; Lawrence Livermore National Laboratory University Floor Discussion Effects— Center of Seismic Events— Dynamics— Measures— Floor Discussion The Ohio State University; Mark Berliner, The Ohio State The Ohio Mark Berliner, The Ohio State University; of Texas M. D. Anderson Cancer Center; Peter Mueller, The Mueller, Peter Anderson Cancer Center; D. M. Texas of Benjamin Anderson Cancer Center; D. M. Texas University of Anderson Cancer D. M. Texas The University of Neby Bekele, Ohio State University; Xiaotong Shen, University of Minnesota; University of Minnesota; Xiaotong Shen, Ohio State University; The Ohio State University Dennis Pearl, Anderson Cancer Center; Peter F. Thall, The University of Texas Texas The University of Thall, F. Peter Anderson Cancer Center; Anderson Cancer Center D. M. Heavy-tailed Distribution— Bounded Random Variable with Application to Poverty with Variable Bounded Random Nested in Categorical Data— Model with a Climate Data Example— Bayesian Modeling and Analysis of Medical and Analysis and Bayesian Modeling ✰

ENAR, Section on Statistics in Epidemiology, Statistics in Epidemiology, ENAR, Section on 10:05 a.m. 103 New Developments in Robust Estimation—Contributed IMS Prevention and Control Disease for Centers Davis, Xiaohong Chair(s): 8:35 a.m. Conﬁdence Intervals for Extreme-tail Probabilities of a 8:50 a.m. Treatment Analyses of Confounded Bayesian Sensitivity 9:05 a.m. Bayesian Hierarchical Model in Estimating Ordinal Data 9:20 a.m. Approach to Location Estimation Hierarchical Bayesian 9:35 a.m. Approach to Glacier A Bayesian Hierarchical Modeling 9:50 a.m. Bayesian Inference on Multiresolutional State Space 9:50 a.m. a for the Mean of Nonparametric Inference Improved 10:05 a.m. 102 ✺ Environmental Data—Contributed Statistical Science, WNAR, Section on Bayesian Section, Section on Statistics Biopharmaceutical University of Connecticut Chair(s): Seongho Song, 8:35 a.m. Bayesian Inference of Hepatoxicity— and the Environment, Biometrics Section Biometrics and the Environment,

-Minneapolis Convention Center Center Convention -Minneapolis

MCC Roberto Leon

MCC-200 I MCC-200 ✦ MCC-211 C Yan Liu, University of Liu, Yan ✦ Presenter Presenter ✦ Kevin Ross, The The University of The Kevin Ross, ✦ Qiming Liao, GlaxoSmithKline Qiming Liao, Myung Suk Kim, Texas A&M University; A&M University; Texas Myung Suk Kim, Yanqiong Zhang, Merck & Co., Inc.; Inc.; Merck & Co., Zhang, Yanqiong ✦ ✦ ✦ Lawrence Marsh, University of Notre Dame Lawrence Marsh, Leiyan Lu, Medical College of Wisconsin; Wisconsin; Medical College of Leiyan Lu, Jeffrey Helterbrand, Genentech, Inc. Genentech, Jeffrey Helterbrand, ✦ ✦ ✦ Applied Session Session Applied ✺ David Burt, Abbott Laboratories David Burt, Xi Zhang, Columbia University Xi Zhang, Daniel Company; Bristol-Myers Squibb Jen-Fue Maa, Survival— John P. Klein, Medical College of Wisconsin Medical College of Klein, John P. Universitat Daniel Montolio, University of Leicester; Gonzalez, University of Sheffield Mosley, Paul de Barcelona; Suojin Wang, Texas A&M University Texas Wang, Suojin Tennessee; Hamparsum Bozdogan, University of Tennessee University of Hamparsum Bozdogan, Tennessee; Control Problems— North Carolina at Chapel Hill William Rosenberger, University of Maryland Baltimore County William Rosenberger, ✦ ✦ ✦ Response Rate Resistance— by Baseline Drug Seekins, Bristol-Myers Squibb Company Seekins, Specification Tests for the Drift Function in Continuous Tests Specification Models— Time Regression Models Hybridized with Genetic Algorithms Regression Models Hybridized with Genetic and Information Complexity— an Application to Aid and Growth— Application to an Bootstrap— Designs— Clinical Trials— Clinical Test— Logrank Mixture Model from Censored Time-to-event Data— Time-to-event Mixture Model from Censored Analysis of Time-to-event Data—Contributed Time-to-event of Analysis ✰

Themed Session Session Themed 9:35 a.m. Bootstrap-based Nonparametric Two Sizes of 9:20 a.m. Approximations for Singular Stochastic Numerical 9:05 a.m. Robust- and Misspeciﬁcation-resistant Multivariate 8:50 a.m. Variables: Averaging with Instrumental Bayesian Model Chair(s): Jeffrey Racine, McMaster University 8:35 a.m. Sample Distribution of the Aspects of the Exact Finite 101 Applications—Contributed Econometric Methods and Section Business and Economics Statistics 9:50 a.m. Randomization Two-stage of Challenges and Efﬁciencies 10:05 a.m. for Current Leukemia-free Testing Hypothesis 9:35 a.m. Asymptotic Normality of the Randomization-based On 9:20 a.m. ApplicationHIV to Data with Time-to-event Analysis of 9:05 a.m. A Censored Data Crossover Studies— Solution for 8:50 a.m. Predict Clinical To Using Kaplan-Meier Method 8:35 a.m. Estimating in a Semiparametric the Mixing Proportion ✺ WNAR Section, Biopharmaceutical and Company Peterson, Eli Lilly Chair(s): Patrick 100 ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

8:50 a.m. On the Accuracy of Bootstrapping Sample Quantiles of 105 MCC-103 C Strongly Mixing Sequences—✦ Shuxia Sun, Wright State ✺ Questionnaire Cognitive Issues II—Contributed University Section on Survey Research Methods, Social Statistics 9:05 a.m. Multivariate Spatial U-quantile Functions with Section Examples—✦ Weihua Zhou, The University of Texas Chair(s): Rachel Caspar, RTI International Southwestern Medical Center at Dallas; Robert Serfling, The 8:35 a.m. The Effect of Data Collection Software on the Cognitive University of Texas Southwestern Medical Center at Dallas Survey Response Process—✦ Rebecca L. Morrison, 9:20 a.m. Inference for Extremal Quantile Regression Models with U.S. Census Bureau; Amy E. Anderson, U.S. Census Bureau an Application to Birth Weights—✦ Victor Chernozhukov, 8:50 a.m. Cognitive Testing of New Forms for the Current Massachusetts Institute of Technology Employment Statistics Survey—✦ Kathy Downey, Bureau 9:35 a.m. Multivariate L-moments—✦ Peng Xiao, The University of of Labor Statistics; Karen Goldenberg, Bureau of Labor Texas Southwestern Medical Center at Dallas; Robert Serfling, Statistics; Rick Rosen, Bureau of Labor Statistics; Tony Gomes, The University of Texas Southwestern Medical Center at Dallas Bureau of Labor Statistics; Chris Manning, Bureau of Labor 9:50 a.m. Nonparametric Depth-based Multivariate Outlier Statistics Identifiers and Robustness Properties—✦ Xin Dang, The 9:05 a.m. Model-based Testing of Survey Instruments—Douglas University of Texas Southwestern Medical Center at Dallas; Willson, National Analysts, Inc.; ✦ Ella Zelichonok, National Robert Serfling, The University of Texas Southwestern Medical Analysts, Inc. Center at Dalla 9:20 a.m. A Comparison of Various Health Care Disciplines’ 10:05 a.m. Floor Discussion Satisfaction with Clinical Training—✦ Stephen J. Dienstfrey, Schulman, Ronca & Bucuvalas, Inc.; Evert Milander, 104 MCC-102 D U.S. Department of Veterans Affairs ✺ Weighting Issues—Contributed 9:35 a.m. An Improved Randomized Response Model: Estimation Section on Survey Research Methods, Social Statistics of Mean—✦ Christopher Gjestvang, St. Cloud State Univer- Section sity; Sarjinder Singh, St. Cloud State University Chair(s): Allan McCutcheon, UNL-Gallup Research Center 9:50 a.m. Floor Discussion 8:35 a.m. Calibration Weights for Estimating Longitudinal Differences in the National Longterm Care Survey— 106 MCC-205 C ✦ Stephen Ash, U.S. Census Bureau Spatial Statistics and Disease Clustering—Contributed 8:50 a.m. Multidimensional Control Totals for Poststratified Section on Statistics in Epidemiology, ENAR, WNAR, Weights—✦ Darryl Creel, RTI International; Mansour Fahimi, Biometrics Section RTI International Chair(s): Eric Tassone, Emory University 9:05 a.m. Comparison of Two Weighting Schemes for Sampling 8:35 a.m. A Multiscale Approach to Testing Areas for Elevated with Minimal Replacement—✦ Pedro J. Saavedra, ORC Disease Risk—✦ Mary M. Louie, National Center for Health Macro International, Inc. Statistics; Eric Kolaczyk, Boston University 9:20 a.m. Trimming or Not To Account for Sampling Design— 8:50 a.m. The Use of Multivariate Control Charts To Detect ✦ Zhanyun Zhao, Mathematica Policy Research, Inc.; Frank Changes in the Spatial Patterns of Disease— Potter, Mathematica Policy Research, Inc. ✦ Michael D. Joner, Virginia Polytechnic Institute and State 9:35 a.m. More Outlier Weight Issues in REACH 2010— University; William H. Woodall, Virginia Polytechnic Institute and ✦ Steven Pedlow, NORC at the University of Chicago; Yongyi State University; Marion R. Reynolds, Jr., Virginia Polytechnic Wang, NORC at the University of Chicago; Ellen Scheib, NORC Institute and State University at the University of Chicago; Hee-Choon Shin, NORC at the 9:05 a.m. Local Likelihood Disease Clustering: Development and University of Chicago Evaluation—✦ Monir Hossain, University of South Carolina; 9:50 a.m. A New Model-assisted, Chi-square Distance Function Andrew Lawson, University of South Carolina for Calibration of Design Weights—Matthew Stearns, 9:20 a.m. Disease Clustering in an Analysis of Childhood St. Cloud State University; ✦ Sarjinder Singh, St. Cloud State Langerhans Cell Histiocytosis—✦ Chih-Chieh Wu, The University University of Texas M. D. Anderson Cancer Center 10:05 a.m. Floor Discussion

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Victor Chan, Chan, Victor

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SCHEDULE Shuen-Lin Jeng, Shuen-Lin Jeng, ✦ MINNEAPOLIS MCC-103 E MCC-102 C MCC-102 Victor Solo, University of Victor Solo, ✦ Karuri Stella, University of Karuri Stella, Kaisheng Song, Florida State Kaisheng Song, -Hyatt Regency Minneapolis Regency -Hyatt ✦ Yurong Wang, Iowa State Wang, Yurong ✦ HY ✦ Paul Kvam, Georgia Institute of Georgia Kvam, Paul ✦ Jonathan Graham, University of Montana; Montana; University of Jonathan Graham, ✦ -Hilton Minneapolis Minneapolis -Hilton H Weijie Cai, George Mason University; James Gentle, George Gentle, James University; Mason George Cai, Weijie Kevin Anderson, Intel Corporation Anderson, Kevin

GENERAL PROGRAM PROGRAM GENERAL University; William Q. Meeker, Iowa State University Meeker, William Q. University; Western Washington University; William Q. Meeker, Iowa State Meeker, Q. William University; Washington Western a Closed-form EM Algorithm— a Closed-form EM Dayton University Probability of Detection— Michigan ✦ University Distributions— ✦ Flight Center of British Columbia University Welch, William J. Waterloo; Communication Systems— Mason University; Jeffrey Morisette, NASA Goddard Space NASA Goddard Space Jeffrey Morisette, Mason University; Service USDA Forest Andrews, L. Patricia Technology; Suk Joo Bae, University of Tennessee University of Suk Joo Bae, Technology; Degradation Due to Outdoor Weathering— Outdoor Degradationto Due University Tunghai University of Berens, Alan P. University of Dayton; Hovey, Indicators— for Accelerated Degradation Tests— Accelerated Degradation for Modeling for Nonstandard Systems—Contributed for Nonstandard Modeling Section on Quality and Productivity 9:50 a.m. Wireless Model for A New Compound Fading 10:05 a.m. Assessment of Statistical Advanced Methods for 9:35 a.m. Floor Discussion 109 Degradation Modeling and Crack Propogation— Contributed Sciences, Section on Physical and Engineering LaboratoryChair(s): Sarah Michalak, Los Alamos National 8:35 a.m. Modeling in the Semiconductor Industry— Yield On 8:50 a.m. Accumulated Series Modeling of Daily Time 9:05 a.m. Distribution Estimation Error Comparisons of Failure 9:20 a.m. Degradation Models and Implied Lifetime 9:35 a.m. Aircraft— Aging Projecting Hazard Rates for 108 ✺ on Statistical Computing Section Center Cancer Research Qin, Fred Hutchinson Chair(s): Li 8:35 a.m. of Invasive Species— Agent-based Modeling 8:50 a.m. Methods for Evaluating Potential Spatial Fire 9:05 a.m. Adaptive GaSP Integration— 9:20 a.m. for the GrowthAnalysis Curve Functional Data Model:

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Zhenxu J. Zhenxu J.

✦ MCC Petruta Caragea, Caragea, Petruta Xia Xu, Iowa Xia Xu, Glenn Hofmann, Glenn Hofmann, ✦ ✦ ✦ MCC-208 A Ronald Gangnon, Ronald Gangnon, ✦ Stephen Looney, Louisiana Stephen Looney, Presenter Presenter ✦ ✦ Michael Ginevan, Exponent, Inc. Exponent, Michael Ginevan, ✦ Applied Session Session Applied ✺ B. M. Golam Kibria, Florida International University Golam Kibria, M. B. Carol A. Janney, Mayo Clinic; Celine Vachon, Mayo Clinic; Mayo Clinic; Vachon, Celine Mayo Clinic; Janney, A. Carol Mammographic Percent Density and Dense Area— Density and Dense Mammographic Percent Ma, Battelle; Pam J. Rodgers, Battelle; Mark E. Kelley, Battelle; Battelle; Kelley, Mark E. Battelle; Rodgers, J. Pam Battelle; Ma, Agency Environmental Protection U.S. Brenda Boutin, Coexist on the Same Resources?— Analytic Limit of Detection— Iowa State University ✦ Iowa State University Philip Dixon, State University; Louisiana State University Hagan, Joseph L. State University; between Chemical Species in Environmental between Chemical Species in Environmental Samples— ✦ Floor Discussion University of Wisconsin, Madison Wisconsin, University of Household International; Chris Lusk, University of Concepcion; University of Concepcion; Chris Lusk, Household International; University of Connecticut Robin Chazdon, James Cerhan, Mayo Clinic; V. Shane Pankratz, Mayo Clinic; Mayo Clinic; Shane Pankratz, V. Mayo Clinic; James Cerhan, Mayo Therneau, M. Terry Clinic; Mayo Zach Fredericksen, Cancer Center Lee Mofﬁtt H. Sellers, A. Thomas Clinic; a Temperate Rain Forest: Why Do Different Species Rain Forest: Temperate a Inference for a Multivariate Linear Model— Data Stress— with Changing Toxicity Waterborne Pathogens in Drinking Water— in Drinking Pathogens Waterborne in the Presence of Covariates—in the Presence Environmental Sampling, Standards, and Risk Standards, Environmental Sampling, Themed Session Session Themed 10:05 a.m. Distributions in Tree and Juvenile Availability Light 9:50 a.m. Dispersion— A Model for Corn Pollen 9:35 a.m. On Methods for Handling Biomarker Data below the 9:20 a.m. Analysis of Survival Model for Toxicokinetic-based A 9:05 a.m. Applications of Matric in Predictive t Distribution The 8:50 a.m. Assessment of Model for Risk Transmission Infection 8:35 a.m. Association the Assess To Using Log-ratio-log Plots Analysis—Contributed WNAR and the Environment, Section on Statistics Chair(s): Philip Dixon, Iowa State University 107 ✰ 10:05 a.m. 9:50 a.m. Approach for and Modeling Analysis Longitudinal 9:35 a.m. of Spatial Detection Data Clustering Using Case-control ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

Special Presentation 10:30 a.m.–12:20 p.m. 11:35 a.m. Model Selection and Estimation in Regression with Grouped Variables—✦ Ming Yuan, Georgia Institute of Technology; Yi Lin, University of Wisconsin, Madison 110 MCC-200 ABC 12:05 p.m. Floor Discussion Introductory Overview Lecture on Multivariate Probability Density Estimation 113 MCC-211 C ASA, IMS, ENAR, WNAR, SSC, Section on Statisticians ✺ Sequential Monte Carlo—Invited in Defense and National Security, Section on Bayesian Statistical Science, Biometrics Section Section on Statistical Computing, Section on Bayesian Statistical Science Organizer(s): Wendy Martinez, Ofﬁce of Naval Research Organizer(s): Susan Holmes, Stanford University Chair(s): Edward J. Wegman, George Mason University Chair(s): Samuel Kou, Harvard University 10:35 a.m. Multivariate Probability Density Estimation—✦ David Sequential Monte Carlo: Past and Present—✦ Jun S. Scott, Rice University 10:35 a.m. Liu, Harvard University 11:25 a.m. Model-based Clustering Probability Density 11:45 a.m. Disc: Arnaud Doucet, Cambridge University Estimation—✦ Adrian E. Raftery, University of Washington 12:05 p.m. Floor Discussion 12:15 p.m. Floor Discussion 114 MCC-205 C Invited Sessions 10:30 a.m.–12:20 p.m. Aggregation in Nonparametric Models—Invited IMS, Section on Bayesian Statistical Science, Section on Nonparametric Statistics 111 MCC-200 F Organizer(s): Florentina Bunea, Florida State University JASA Theory and Methods Invited Paper Session— Chair(s): Florentina Bunea, Florida State University Invited 10:35 a.m. Boosting, Lasso, and Model Selection—✦ Bin Yu, JASA, Theory and Methods University of California, Berkeley Organizer(s): Francisco J. Samaniego, University of California, Davis 11:00 a.m. Model List Selection for Prediction—✦ Bertrand Clarke, Chair(s): Francisco J. Samaniego, University of California, Davis University of British Columbia 10:35 a.m. Semilinear High-dimensional Models for Normalization 11:25 a.m. Aggregation for Regression Learning—✦ Marten H. of Microarray Data: Theoretical Analysis and Partial Wegkamp, Florida State University; Florentina Bunea, Florida Consistency—✦ Jianqing Fan, Princeton University; Heng State University; Alexandre B. Tsybakov, University Paris VI Peng, Princeton University; Tao Huang, Yale Universit 11:50 a.m. Some Bayesian Perspectives on Combining 11:20 a.m. Disc: Michael Kosorok, University of Wisconsin, Madison Models—✦ Merlise Clyde, Duke University; Edwin Iversen, 11:35 a.m. Disc: Heping Zhang, Yale University Duke University; Jennifer Pittman, Duke University; Rosy Luo, 12:05 p.m. Floor Discussion Duke University 12:15 p.m. Floor Discussion 112 MCC-211 D ✰ Statistical Learning and Data Mining—Invited 115 MCC-200 DE Section on Nonparametric Statistics, Business and ✺ ✰ Improving Quality and Access to Federal Data— Economics Statistics Section Memorial Session in Honor of Pat J. Doyle—Invited Organizer(s): Yi Lin, University of Wisconsin, Madison Memorial, Section on Government Statistics, Social Chair(s): Yi Lin, University of Wisconsin, Madison Statistics Section 10:35 a.m. Model Assessment—✦ Xiaotong Shen, University of Organizer(s): Wendy Alvey, U.S. Census Bureau; John Czajka, Minnesota; Hsin-Cheng Huang, Institute of Statistical Science, Mathematica Policy Research, Inc.; Nancy A. Bates, U.S. Census Academia Sinica Bureau Chair(s): Constance Citro, National Academy of Sciences 11:05 a.m. Nonlinear Dimension Reduction—✦ Andreas Buja, University of Pennsylvania 10:35 a.m. Improving Our Ability To Estimate the Impact of Changes to the Transfer System and Measure Economic Well-being: the Legacy of Pat Doyle’s Early Work—

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David Salsburg, David Salsburg, SCHEDULE ✦ MINNEAPOLIS MCC-103 B MCC-102 C Bradley Efron, Stanford Bradley Efron, ✦ -Hyatt Regency Minneapolis Regency -Hyatt HY Donald A. Berry, The University of Berry, A. Donald ✦ Charles Lawrence, Brown University Charles Lawrence, Simon Tavare, University of Southern California; Southern University of California; Tavare, Simon ✦ Eric P. Xing, Carnegie Mellon University; Carnegie Mellon University; Xing, Eric P. Jeffrey D. Blume, Brown University Blume, Jeffrey D. ✦ ✦ ✦ -Hilton Minneapolis Minneapolis -Hilton H Lee-Jen Wei, Harvard University Wei, Lee-Jen GENERAL PROGRAM PROGRAM GENERAL Roded Sharan, ICSI, Berkeley ICSI, Roded Sharan, P-value— ✦ University Statistical Consultant P. Nicolas, University of Southern California; D. Shibata, Shibata, D. University of Southern California; Nicolas, P. Structures— Process— Texas M. D. Anderson Cancer Center D. M. Texas University of SouthernUniversity of California Patterns— Human Colon through Analysis of Methylation through Human Colon Modeling of Many Genetic Disease Markers and Safety Data Studies— in Drug Disc: Robert O’Neill, U.S. Food and Drug Administration and Drug Food U.S. Robert O’Neill, Disc: Disc: Chiara Sabatti, University of California, Los Angeles Los University of California, Chiara Sabatti, Disc:

Importance of ‘P-values’ in the Drug Approval ‘P-values’ in the Drug Importance of Bayes and Empirical Bayes Approaches for Large- Approaches Bayes Bayes and Empirical scale Simultaneous Hypothesis Testing—Invited scale Simultaneous Hypothesis 11:00 a.m. Not the the Strength of Statistical Assess Evidence, 11:25 a.m. Than P-values in Drug Evaluation?— Do More We Can 11:50 a.m. 12:10 p.m. Floor Discussion ENAR, Section on Bayesian Statistical Science, ENAR, Section on Bayesian Statistical Section, WNAR, Business and Economics Statistics Biometrics Section University Organizer(s): Laura H. Gunn, Georgia Southern University Chair(s): Laura H. Gunn, Georgia Southern 10:35 a.m. Incorporating Biological Information in Hierarchical 11:10 a.m. Rates— Local False-discovery 11:45 a.m. 12:10 p.m. Floor Discussion 120 ✺ Process—Pros and Cons—Invited on Statistical Biopharmaceutical Section, Section Education, WNAR Organizer(s): Ramachandran Suresh, Schering-Plough Chair(s): Ramachandran Suresh, Schering-Plough 10:35 a.m. or Neyman Say?— Fisher Would What 10:35 a.m. of the the Stem Cell Population Inference on Posterior 11:05 a.m. Ensembles of RNA Secondary Weighted Boltzman 11:35 a.m. Bayesian Haplotype the Dirichlet Inference via 12:10 p.m. Floor Discussion 119 ✺

John

-Minneapolis Convention Center Center Convention -Minneapolis

✦ MCC MCC-208 B MCC-208 C MCC-103 C Laura Salter Kubatko, The Laura Salter Kubatko, Presenter Presenter ✦ ✦ Bob Mau, University of Bob Mau, ✦ — Jeffrey Moore, U.S. Census Bureau; Bureau; Census U.S. Jeffrey Moore, ✦ Susan Holmes, Stanford University Susan Holmes, Applied Session Session Applied ✦ ✺ Oleg Lepski, Universite de Provence Oleg Lepski, Julia Lane, National Science Foundation Julia Lane, University of New Mexico; James Degnan, The University of James Degnan, University of New Mexico; Chester Bowie, Government Foundation & Academic Research & Government Foundation Chester Bowie, Inc. Market Strategies, Czajka, Mathematica Policy Research, Inc. Research, Policy Mathematica Czajka, Based on DNA Sequences— New Mexico Coli Alignments of E. Wisconsin, Madison Wisconsin, ✦ ✦ Harold Beebout, Child and Family Services Agency; Agency; Services and Family Child Harold Beebout, Census Bureau— Trees— Estimation in the Case of Composite Functions— Disc: Cecile Ane, University of Wisconsin, Madison Wisconsin, University of Ane, Cecile Disc: Disc: Stephanie Shipp, National Institute of Standards and National Institute of Standards and Stephanie Shipp, Disc: Technology

Bayesian Techniques in Functional Genomics— Techniques Bayesian ✰

Themed Session Session Themed Biopharmaceutical Section, WNAR, Biometrics Section Biometrics WNAR, Section, Biopharmaceutical Organizer(s): Michael Newton, University of Wisconsin, Madison Chair(s): Michael Newton, University of Wisconsin, Madison Invited Section on Bayesian Statistical Science, ENAR, 118 ✺ 11:50 a.m. 12:05 p.m. Floor Discussion 11:25 a.m. Applications of Distances between Phylogenetic 11:00 a.m. Whole-genome Detection of Extensive Recombination in 10:35 a.m. Whole-genome Phylogeny Prospects and Pitfalls of WNAR, ENAR, Biometrics Section Organizer(s): Bret Larget, University of Wisconsin, Madison Chair(s): Bret Larget, University of Wisconsin, Madison 12:00 p.m. Floor Discussion 117 Statistical Phylogenetics—Invited 10:35 a.m. and Testing Hypotheses Dimensionality Reduction: New Jersey University Vrije Chair(s): Aad van der Vaart, 116 2—Invited Medallion Lecture IMS State University of Organizer(s): David Madigan, Rutgers, The 12:10 p.m. Floor Discussion 11:50 a.m. 11:25 a.m. Solutions to Meeting Data User Needs— Potential 11:00 a.m. at the U.S. Legacy Doyle’s Pat Striving for Data Quality: ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

121 MCC-200 H Invited Panels 10:30 a.m.–12:20 p.m. ✺ Communicating Information to Students and Teachers—Invited Social Statistics Section 122 MCC-103 D ✺ Organizer(s): Robert H. Rutchik, U.S. Department of Energy Statistics and the College Football Championship— Invited Chair(s): John Bosley, Bureau of Labor Statistics The American Statistician, Section on Statistics in 10:35 a.m. Evolution of the EIA Energy Kid’s Page—✦ Robert H. Sports, Section on Statistical Education Rutchik, U.S. Department of Energy; Howard Bradsher- Organizer(s): James Albert, Bowling Green State University Fredrick, Energy Information Administration; Colleen Chair(s): James Albert, Bowling Green State University Blessing, Energy Information Administration; Herbert Miller, Energy Information Administration; Renee Miller, Energy Panelists: ✦ Hal Stern, University of California, Irvine Information Administration ✦ David Harville, IBM Thomas J. Watson Research Center ✦ David Mease, University of California, Berkeley 11:00 a.m. Hennepin County Library: Online Services to Youth— ✦ Kenneth Massey, Virginia Polytechnic Institute and State ✦ Marilyn Turner, Hennepin County Library; Margaret Canada, University Hennepin County Library; Ann Melrose, Hennepin County Library 12:15 p.m. Floor Discussion 11:25 a.m. The American Statistical Association Guidelines for Instruction in Statistics Education (GAISE) for Pre K-12: Topic Contributed Sessions 10:30 a.m.–12:20 p.m. What Does This Mean for Students and Teachers?— ✦ Christine A. Franklin, University of Georgia 11:50 a.m. Disc: Richard Omanson, User Centric, Inc. 123 MCC-200 I 12:15 p.m. Floor Discussion ✺ ✰ Section on Health Policy Statistics Student Awards Session—Topic Contributed Section on Health Policy Statistics, Section on Bayesian Statistical Science, WNAR American Statistical Association Organizer(s): Chris Schmid, Tufts New England Medical Center Chair(s): Therese Stukel, Institute for Clinical Evaluative Sciences 10:35 a.m. A Hierarchical, Multivariate, Two-part Model for Proﬁling MARKET Providers’ Effects on Health Care Charges— ✦ John Robinson, Johns Hopkins University; Scott Zeger, Johns Hopkins University; Christopher Forrest, Johns Hopkins University PLACE 10:55 a.m. Do Antidepressants Cause Suicide in Children? A Bayesian Metaanalysis—✦ Eloise Kaizar, Carnegie Mellon University; Joel Greenhouse, Carnegie Mellon University; Howard Seltman, Carnegie Mellon University 11:15 a.m. A Comparison of Estimators of Population Slope under Mugs, hats, ASA apparel, Informative Dropout—✦ Hai (Kevin) Lin, The University of Texas M. D. Anderson Cancer Center; Elizabeth Slate, Medical children’s shirts, JSM shirts, University of South Carolina and more! 11:35 a.m. On the Utility of Stochastic Models of Chronic Obstructive Pulmonary Disease—✦ Rebecca Boehm, Medical University of South Carolina; Kristin Highland, Medical LOCATED IN THE MAIN University of South Carolina; Kit Simpson, Medical University of REGISTRATION AREA OF THE South Carolina; Robert Woolson, Medical University of South Carolina MINNEAPOLIS CONVENTION CENTER see page 21 for hours of operation

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SCHEDULE MINNEAPOLIS MCC-200 G MCC-209 AB -Hyatt Regency Minneapolis Regency -Hyatt HY Owen Shoemaker, Bureau of Labor Owen Shoemaker, Stephanie Pickle, Virginia Virginia Stephanie Pickle, Juan Du, The Ohio State University; The Ohio State University; Juan Du, ✦ ✦ ✦ Patrick A. Bobbitt, Bureau of Labor Statistics; Bureau of Labor Statistics; Bobbitt, A. Patrick ✦ William Larson, Bureau of Labor Statistics William Larson, ✦ -Hilton Minneapolis Minneapolis -Hilton H Steven Anderson, U.S. Department of Transportation; Janice Transportation; of Department U.S. Anderson, Steven Omer Ozturk, The Ohio State University; Jesse Frey, The Jesse Frey, The Ohio State University; Omer Ozturk, Agency; Environmental Protection U.S. Nussbaum, Barry D.

GENERAL PROGRAM PROGRAM GENERAL Methodology— ✦ ✦ Experiments— ✦ Program— Bureau of Labor Statistics Price in the Housing Component of the Consumer Index— (2000–2003)— Statistics Polytechnic Institute and State University; Jeffrey B. Birch, Birch, Jeffrey B. State University; Institute and Polytechnic J. Timothy and State University; Institute Virginia Polytechnic Wyoming of University Robinson, University Moon J. Cho, Bureau of Labor Statistics; Robert M. Eddy, Eddy, Robert M. Bureau of Labor Statistics; Cho, Moon J. University of Pune Deshpande, V. Jayant Ohio State University; University of Maryland Baltimore County Sinha, Bimal K. Steven N. MacEachern, The Ohio State University MacEachern, Steven N. CPI-U: All-U.S. Indices at Lower Item-aggregateAll-U.S. Levels CPI-U: Disc: Marshall Reinsdorf, Bureau of Economic Analysis Bureau of Economic Marshall Reinsdorf, Disc: Disc: G. Geoffrey Vining, Virginia Polytechnic Institute and State Institute Virginia Polytechnic Vining, Geoffrey G. Disc: Lent, U.S. Department of Transportation Department of U.S. Lent,

Enhancements in Price Programs and Other Statistical Price Programs and Other Statistical Enhancements in Issues—Topic Contributed Issues—Topic Survey Research Methods Survey Research Chair(s): Edsel Pena, University of South Carolina 10:35 a.m. Judgment Rankings— for Perfect Tests Nonparametric 10:55 a.m. Applications of Ranked Set Sampling— Some 11:15 a.m. Poststratiﬁcation Judgment Designed for 10:35 a.m. and Flight Path— Take-off Price Index: Travel Air The 10:55 a.m. Methods in the International Price Weighting Comparing 11:15 a.m. and Index Estimates Variance Attrition on The Effect of 11:35 a.m. Comparison between Chained CPI-U and Regular 11:55 a.m. 12:15 p.m. Floor Discussion 127 of Ranked Set Sampling—Topic Applications Some Contributed Section on Nonparametric Statistics, Section on Organizer(s): Omer Ozturk, The Ohio State University 11:35 a.m. Approaches to Response Surface Nonparametric 11:55 a.m. 12:15 p.m. Floor Discussion 126 ✺ Section on Government Statistics Cho, Bureau of Labor Statistics Organizer(s): Moon J. Bureau of Labor Statistics Chair(s): Sylvia G. Leaver, y

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MCC

MCC-103 A MCC-102 B Presenter Presenter ✦ Scott Kowalski, Minitab Inc.; Minitab Inc.; Scott Kowalski, Andre L. Pinho, Universidade Pinho, Andre L. ✦ ✦ Barry K. Moser, Duke University; Laura Duke University; Moser, Barry K. ✦ Manuela Buzoianu, Carnegie Mellon Manuela Buzoianu, Qian H. Li, U.S. Food and Drug Food U.S. Li, Qian H. ✦ ✦ Li Wang, Virginia Polytechnic Institute and State Virginia Polytechnic Wang, Li Yi Tsong, U.S. Food and Drug Administration and Drug Food U.S. Tsong, Yi ✦ Applied Session Session Applied ✦ ✺ Thomas Permutt, U.S. Food and Drug Administration; Joan Administration; and Drug Food U.S. Thomas Permutt, Coombs, George Washington University Washington George Coombs, Administration; Administration; Clinical Trial— Clinical Federal do Rio Grande do Norte; Carla A. Vivacqua, Vivacqua, A. Carla Rio Grande do Norte; do Federal University; G. Geoffrey Vining, Virginia Polytechnic Institute and Virginia Polytechnic Vining, Geoffrey G. University; Split-plot Designs— University Design— State University Split-plot Structure— Administration ✦ Dichotomizing— Universidade Federal do Rio Grande do Norte; Soren Bisgaard, Bisgaard, Soren Norte; do Grande Rio do Federal Universidade University of Steudel, Harold J. University of Massachusetts; Madison Wisconsin, Buenconsejo, U.S. Food and Drug Administration and Drug Food U.S. Buenconsejo, University; Joseph B. Kadane, Carnegie Mellon University Kadane, Joseph B. University; G. Geoffrey Vining, Virginia Polytechnic Institute and State Virginia Polytechnic Vining, Geoffrey G. Effects in Unreplicated, Two-level, Fractional Factorial Factorial Fractional Two-level, Effects in Unreplicated, Ling Chen, U.S. Food and Drug Food U.S. Analysis—Ling Chen, Responder Trials— Disc: Ralph D’Agostino, Boston University Ralph D’Agostino, Disc:

New Developments in Response Surface New Developments in Response Surface Analysis of Responder Data—Topic Contributed Analysis of Responder Data—Topic Themed Session Session Themed Methodology—Topic Contributed Methodology—Topic 11:15 a.m. Analysis of Dispersion Estimation Residual for the 10:55 a.m. Rotatable Split-plot Response Surface Partially 10:35 a.m. within a Exact Inference for Response Surface Designs State University National Laborator Chair(s): Christine Anderson-Cook, Los Alamos Section on Quality and Productivity, Section on Section on Quality and Productivity, Physical and Engineering Sciences and Polytechnic Institute Virginia Organizer(s): G. Geoffrey Vining, 125 ✺ 11:55 a.m. 12:15 p.m. Floor Discussion 11:35 a.m. Weighted Using a Differences Treatment Assessing 11:15 a.m. Analysis’ of Clinical-relevant Evidence of ‘Responder 10:55 a.m. Without Variable Odds Ratios for a Continuous Outcome 10:35 a.m. Ways— Can Have It Both You Analysis: Responder Biopharmaceutical Section, WNAR Biopharmaceutical U.S. Food and Drug Administration Tsong, Organizer(s): Yi Bristol-Myers Squibb Company Chair(s): Thomas Kelleher, 124 ✺ 12:15 p.m. Floor Discussion 11:55 a.m. Selection in a Design for Patient Optimal Bayesian ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

11:35 a.m. Confidence Intervals for Quantiles and Tolerance Warfare Center, Dahlgren Division; Edward J. Wegman, George Intervals Based on Ordered Ranked Set Samples— Mason University ✦ Tao Li, McMaster University; Narayanaswamy Balakrishnan, 10:55 a.m. Deriving Meaningful Biological Structure from Spectral McMaster University Embedding and Clustering—✦ Brandon Higgs, George 11:55 a.m. Minimum Disparity Estimation in Ranked Set Mason University; Jeffrey L. Solka, Naval Surface Warfare Sampling—✦ Roxana Alexandridis, The Ohio State Center, Dahlgren Division; Jennifer Weller, George Mason University; Omer Ozturk, The Ohio State University University 12:15 p.m. Floor Discussion 11:15 a.m. Communication Graphs and Text Analysis of Email— ✦ Elizabeth Leeds, Naval Surface Warfare Center, Dahlgren 128 MCC-103 E Division; David Marchette, Naval Surface Warfare Center, Degradation Modeling, Analysis, and Test Planning— Dahlgren Division Topic Contributed 11:35 a.m. Modeling and Event Identification Based on Spectral- Section on Physical and Engineering Sciences, temporal Data—✦ Monica Reising, Iowa State University; Section on Quality and Productivity Stephen Vardeman, Iowa State University; Max Morris, Iowa Organizer(s): Angela Dean, The Ohio State University State University; Shawn Higbee, Air Force Research Chair(s): Janet P. Buckingham, Southwest Research Institute Laboratory/SNH 10:35 a.m. Accelerated Destructive Degradation Test Planning— 11:55 a.m. Disc: Patricia Carter, Naval Surface Warfare Center, Dahlgren ✦ Luis Escobar, Louisiana State University; William Q. Meeker, Division Iowa State University 12:15 p.m. Floor Discussion 10:55 a.m. The Use of Accelerated Testing To Develop a Cumulative Damage Model To Predict Service Life of 130 MCC-208 D Materials Subjected to Outdoor Weathering— ✺ ✰ Bayesian Methods and MCMC in Industry and ✦ William Q. Meeker, Iowa State University Engineering—Topic Contributed 11:15 a.m. Engineering Physics-based Degradation Models— Section on Bayesian Statistical Science, Section on ✦ J. C. Lu, Georgia Institute of Technology; Shuen-Lin Jeng, Survey Research Methods Tunghai University; P. Papush, Georgia Institute of Technology Organizer(s): Patrick J. Wolfe, Harvard University; Keying Ye, Virginia Polytechnic Institute and State University 11:35 a.m. A Class of Degradation Models for Reliability Inference Based on Nonhomogeneous Gaussian Processes— Chair(s): Keying Ye, Virginia Polytechnic Institute and State University ✦ Xiao Wang, University of Michigan; Vijayan Nair, University 10:35 a.m. A Bayesian Reliability Approach to Multiple Response of Michigan Surface Optimization—✦ John Peterson, GlaxoSmithKline; 11:55 a.m. Toward Unit-specific Degradation Modeling—✦ Brock Guillermo Miro-Quesada, Eli Lilly and Company; Enrique del Osborn, GE Global Research; Hui Fan, Rensselaer Polytechnic Castillo, The Pennsylvania State University Institute; Thomas Willemain, Rensselaer Polytechnic Institute; 10:55 a.m. The Application of Bayesian Hierarchical Models in Dual Pasquale Sullo, Rensselaer Polytechnic Institute Response Surface—✦ Younan Chen, Virginia Polytechnic 12:15 p.m. Floor Discussion Institute and State University; Keying Ye, Virginia Polytechnic Institute and State University 129 MCC-200 J 11:15 a.m. Bayesian Separation of Harmonic Sources— ✺ Spectral-based Methods of Data Analysis— ✦ Manuel Davy, LAGIS/CNRS Topic Contributed 11:35 a.m. Bayesian 3-D Reconstruction of Chemical Section on Statisticians in Defense and National Composition from 2-D Spectra—✦ Juan Soto, National Security Institute of Standards and Technology; Donald Malec, U.S. Organizer(s): Jeffrey L. Solka, Naval Surface Warfare Center, Census Bureau/National Institute of Standards and Technology Dahlgren Division 11:55 a.m. A Bayesian Approach to Imputation of Missing Data Chair(s): John Rigsby, Naval Surface Warfare Center, Dahlgren Values in Audio Time Series—✦ Patrick J. Wolfe, Harvard Division University 10:35 a.m. Recursive Bipartite Spectral Clustering for Document 12:15 p.m. Floor Discussion Categorization—✦ Jeffrey L. Solka, Naval Surface Warfare Center, Dahlgren Division; Avory C. Bryant, Naval Surface

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SCHEDULE Jodi Lapidus, Jodi Lapidus, MINNEAPOLIS MCC-102 E

MCC-205 D MCC-205 ✦

-Hyatt Regency Minneapolis Regency -Hyatt HY Pei Wang, Fred Hutchinson Cancer Hutchinson Fred Wang, Pei ✦ Ling Deng, Temple University/Novo Nordisk; University/Novo Nordisk; Temple Ling Deng, ✦ -Hilton Minneapolis Minneapolis -Hilton H Hongmei Zhang, University of West Florida West University of Hongmei Zhang, John McKenzie, Jr., Babson College Jr., John McKenzie, University California Polytechnic Jay Devore, Georgetown University Keith Ord, Alabama The University of Edward Mansﬁeld, GENERAL PROGRAM PROGRAM GENERAL Dirk F. Moore, University of Medicine and Dentistry of New Moore, Dirk F. Jeanette Eckel-Passow, Mayo Clinic; Terry M. Therneau, Mayo Therneau, M. Terry Mayo Clinic; Jeanette Eckel-Passow, Mayo Clinic; David Muddiman, Mayo Clinic; Ann Oberg, Clinic; Mayo Clinic Christopher Mason, Research Center; Marc Coram, The University of Chicago; Hua The University of Chicago; Marc Coram, Research Center; Cancer Research Center Hutchinson Fred Tang, Oregon Health & Science University; Xinfang Lu, Oregon Xinfang Lu, Oregon Health & Science University; Oregon Health Thomas Jacob, Health & Science University; Oregon Health & Srinivasa Nagalla, & Science University; Science University Methods— Jersey ✦ dimensional Gel Electrophoresis— ✦ ✦ ✦ ✦ Application and Composite Likelihood of GEE of LC-MS Data— Mass Spectrometry Data— for LC-ESI-FT-ICR Two- Protein Expression in Human Serum Using Topic Contributed Panels 10:30 a.m.–12:20 p.m. a.m.–12:20 10:30 Panels Contributed Topic Nucleotides, Genes, and Chromosomes—Contributed Genes, Nucleotides, 11:20 a.m. an of Substitution Rates: Space-dependence 11:35 a.m. How Many Species and How Many Species?— Rare Regular Contributed Sessions 10:30 a.m.–12:20 p.m. a.m.–12:20 10:30 Sessions Contributed Regular 134 ✰ Biometrics Section, WNAR M. D. Anderson Texas Chair(s): Swati Biswas, The University of Cancer Center 10:35 a.m. Alignment A Statistical Method for Chromatographic 10:50 a.m. Algorithm Simultaneous Calibration and Peak-picking 11:05 a.m. of Variation Estimate Biologic To Approaches Statistical 133 the IntroductoryExamining Course for Statistics Textbooks—Topic through It’s Business and Economics Contributed Education Section on Statistical Babson College Jr., Organizer(s): John McKenzie, Cornell University Chair(s): Paul Velleman, Panelists: 12:15 p.m. Floor Discussion

-Minneapolis Convention Center Center Convention -Minneapolis Martina

✦

MCC

MCC-102 D MCC-102 Melissa A. Redmiles, Redmiles, A. Melissa MCC-201 AB ✦ Presenter Presenter ✦ F. DuBois Bowman, Emory Bowman, DuBois F. Kimberly Henry, U.S. Internal U.S. Kimberly Henry, ✦ ✦ Jana Scali, U.S. Internal Revenue Service; Internal Revenue Service; U.S. Jana Scali, ✦ Patrick Carmack, The University of Texas Texas The University of Carmack, Patrick Lucy Altounian, U.S. Internal Revenue Service U.S. Altounian, Lucy Nicole Lazar, University of Georgia Nicole Lazar, ✦ ✦ ✦ Applied Session Session Applied ✺ Huiping Jiang, Columbia University; Todd Ogden, Columbia Ogden, Todd University; Columbia Huiping Jiang, Neuroimaging Data— Southwestern Medical Center at Dallas; William R. Schucany, Schucany, R. William Southwestern Medical Center at Dallas; Southern Richard Gunst, Southern Methodist University; Texas The University of Jeffrey Spence, Methodist University; Southern Qihua Lin, Southwestern Medical Center at Dallas; Valerie Testa, U.S. Internal Revenue Service; Maureen Kahr, Maureen Kahr, Internal Revenue Service; U.S. Testa, Valerie Internal U.S. Michael Strudler, Internal Revenue Service; U.S. Revenue Service Nonsampling Error— Returns?— Internal U.S. Harry Internal Singmaster, Revenue Service; U.S. Revenue Service ✦ University Selection— Methodist University University Pavlicova, Columbia University Pavlicova, Revenue Service; Yahia Ahmed, U.S. Internal Revenue Service U.S. Ahmed, Yahia Revenue Service; Returns on the Corporate File Compare to the Actual Compare to the Returns on the Corporate File Credit Data— Tax 2002 Foreign Return Study— Imaging— Disc: Steve Miller, Bureau of Labor Statistics Steve Miller, Disc:

Modeling for Brain Imaging Data—Topic Contributed Data—Topic Imaging Brain for Modeling ✰ Issues in Quantifying Measurement Error— Issues in Quantifying Measurement

Themed Session Session Themed Topic Contributed Topic 11:55 a.m. 12:15 p.m. Floor Discussion 11:35 a.m. Year Tax on the Process Impact of the Follow-up The 11:15 a.m. How Do Imputed Corporation Super Critical Cases: 10:55 a.m. Approach to Measuring Prediction A Model 10:35 a.m. Tax Measuring Nonsampling Error in the SOI Individual Organizer(s): Barry Johnson, U.S. Internal Revenue Service LLP Ernst & Young Chair(s): Mary Batcher, 132 ✺ Methods Section on Survey Research 12:15 p.m. Floor Discussion 11:55 a.m. Model Selection for Functional Magnetic Resonance 11:35 a.m. Mixture Modeling for PET Neuroreceptor Studies— 11:15 a.m. Crossvalidation Casting in Correlated Data Far Model 10:55 a.m. Thresholding Procedure— Adaptive P-value 10:35 a.m. Modeling Spatial Correlations in Functional ✺ Section, WNAR Biometrics University Ogden, Columbia Todd Organizer(s): University Ogden, Columbia Chair(s): Todd 131 ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

11:50 a.m. Statistical Methods for the Identification of University of Pennsylvania; Naijun Sha, The University of Texas Microdeletions of Chromosome Segments— at El Paso; Marina Vannucci, Texas A&M University ✦ Yan Li, The University of Chicago 11:05 a.m. Mixture Models, SEMOR, and BARS—✦ Mark Lancaster, 12:05 p.m. Floor Discussion University of Kentucky; Kert Viele, University of Kentucky 11:20 a.m. Bayesian Models and Model Selection in Closed- 135 MCC-208 A population, Capture-recapture Experiments— Statistical Theory with Applications from Astronomy to ✦ Ross Gosky, Bucknell University; Sujit K. Ghosh, North Microarrays—Contributed Carolina State University IMS 11:35 a.m. Assessing the Stability of Likelihood-based Models Chair(s): Sudeshna Adak, GE Global Research Incorporating Dynamic Biological Components— 10:35 a.m. A Union-intersection Censored Data Test for the Equality ✦ Michael Brimacombe, New Jersey Medical School of Exponential Distribution Location Parameters— 11:50 a.m. Contextual Effects in Ecological Inference—✦ Ying Lu, ✦ Jeffrey Green, Ball State University; Roger Nelson, Ball Princeton University; Kosuke Imai, Princeton University State University 12:05 p.m. Estimating Model Complexity for Bayesian Networks— 10:50 a.m. A Characterization of Multivariate Normal Distribution ✦ Avraham Salzman, University of Rochester; Anthony with Special Covariance Structure—✦ Dhanuja Almudevar, University of Rochester Kasturiranta, Bowling Green State University; Truc T. Nguyen, Bowling Green State University; Arjun K. Gupta, Bowling Green 137 MCC-213 AB State University Bootstrapping and Simulation—Contributed 11:05 a.m. Sequential Plans and Risk Evaluation—✦ Claudia Section on Nonparametric Statistics Schmegner, DePaul University; Michael Baron, The University Chair(s): Ping Ma, Harvard University of Texas Southwestern Medical Center at Dallas 10:35 a.m. Estimation of Employee Turnover Based on Tenure-to- 11:20 a.m. Higher Criticism Statistic: Theory and Applications in date—✦ Richard Madsen, University of Missouri, Columbia Cosmology and Astronomy—✦ Jiashun Jin, Purdue 10:50 a.m. Bootstrapping for Dimension Assessment in University Regression—✦ Santiago Velilla, Universidad Carlos III 11:35 a.m. Sharp Simultaneous Intervals for the Means of Selected de Madrid Populations with Application to Microarray Data 11:05 a.m. Bootstrap Confidence Bands for Infinite Order Analysis—✦ Jing Qiu, University of Missouri, Columbia Nonparametric Regression Estimates—✦ Timothy 11:50 a.m. Data Integration Method for High-throughput Data— McMurry, DePaul University; Dimitris Politis, University of ✦ Joseph Beyene, University of Toronto; Pingzhao Hu, California, San Diego University of Toronto, Hospital for Sick Children; Celia C. M. 11:20 a.m. Empirical Process Approach to Some Two-sample Greenwood, University of Toronto, Hospital for Sick Children Problems Using Ranked Set Samples—✦ Kaushik 12:05 p.m. Model Selection Using the Discrimination Sample Ghosh, George Washington University; Ram C. Tiwari, National Size—✦ Jiawei Liu, Georgia State University; Bruce G. Cancer Institute Lindsay, The Pennsylvania State University 11:35 a.m. Permutation Methods for Comparing Process Capabilities—✦ Alan Polansky, Northern Illinois University 136 MCC-211 B ✺ ✰ Bayesian Methods in Biological and Ecological 11:50 a.m. Multi-step Forecasting with Functional Coefficient— ✦ Studies—Contributed Jane Harvill, Mississippi State University Section on Bayesian Statistical Science, ENAR, 12:05 p.m. Transforming Skewed Data and the Bootstrap— Section on Statistical Education, Biometrics Section ✦ Abu Minhajuddin, The University of Texas Southwestern Chair(s): Cyr Emile M’Lan, University of Connecticut Medical Center at Dallas; Nasratun Nayeem, Southern Methodist University; William R. Schucany, Southern Methodist 10:35 a.m. Global Bayesian Approach to Identifying Biomarkers University from MALDI-MS Data—✦ Junfeng Liu, Yale University 10:50 a.m. Bayesian Analysis of High-throughput Data with Ordinal Outcomes To Identify Prostate Cancer Biomarkers— ✦ Deukwoo Kwon, Texas A&M University; Mahlet G. Tadesse,

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Monnie McGee, Monnie McGee, SCHEDULE ✦ MINNEAPOLIS MCC-205 A Lop-hing Ho, Wichita Lop-hing Ho, MCC-212 AB ✦ Gang Li, GlaxoSmithKline; GlaxoSmithKline; Gang Li, ✦ -Hyatt Regency Minneapolis Regency -Hyatt Yufeng Tu, University of Tu, Yufeng HY Mercedes Schneider, Ball State Mercedes Schneider, ✦ ✦ Gregory Knofczynski, Armstrong Atlantic Armstrong Gregory Knofczynski, Stefan Wellek, CIMH/University of CIMH/University Wellek, Stefan ✦ ✦ Xin Tu, University of Rochester University of Tu, Xin ✦ Yasemin (Uu) Bardakci, American University of (Uu) Bardakci, Yasemin ✦ -Hilton Minneapolis Minneapolis -Hilton H Henghsiu Tsai, Institute of Statistical Science, Academia Academia Institute of Statistical Science, Tsai, Henghsiu Bo Jin, Merck Research Laboratories Bo Jin, North Carolina State University; Anindita Banerjee, GENERAL PROGRAM PROGRAM GENERAL Multivariate Linear Processes— Discriminant Analysis— Discriminant Dibyen Majumdar, University of Illinois, Chicago University of Illinois, Dibyen Majumdar, Southern Methodist University; Ian Harris, Southern Methodist Ian Harris, Southern Methodist University; ✦ University ✦ ✦ Ball State University Holmes Finch, University; Distributions— Heidelberg Designs— for Prediction— State University Beirut State University; Kung-Sik Chan, The University of Iowa Kung-Sik Chan, State University; Sinica; Kung-Sik Chan, The University of Iowa Kung-Sik Chan, Sinica; Anastasios A. Tsiatis, North Carolina State University Tsiatis, A. Anastasios Maryland; Michael Ball, University of Maryland; Wolfgang Jank, Jank, Wolfgang University of Maryland; Michael Ball, Maryland; MarylandUniversity of Performance Modeling— Performance Study— Parameters— Three and Four for One-sided Hypotheses about Discrete Tests Issues in Study Design—Contributed 10:35 a.m. Note on Nonnegative A Continuous-time Processes— 10:50 a.m. Series— Time Categorical Detrending 11:05 a.m. the Unique Representation On of Non-Gaussian 10:50 a.m. Three Blocks— Optimal Incomplete Designs with 11:05 a.m. Trials— Phase II Designs in Two-stage Optimal 11:20 a.m. Suggested Sample-size-to-variable Ratios for 11:35 a.m. Bayesian Construction of Improved Nonrandomized 11:50 a.m. Analysis for Correlations from Clustered Study Power 12:05 p.m. When Using Multiple Linear Regression Sample Sizes 141 Series—Contributed Time General Methodology Hospital of Philadelphia Chair(s): Sujata Patil, The Children’s 11:50 a.m. Airline Algorithm to Applying and EM Smoothing Spine 12:05 p.m. a Monte Carlo Loss: Optimal Prediction under Linex 140 ✺ Section, Biopharmaceutical General Methodology, Statistical Science Section on Bayesian Pharmaceuticals Chair(s): Luen Lee, Novartis 10:35 a.m. for Logistic Models with Locally D-optimal Designs

-Minneapolis Convention Center Center Convention -Minneapolis

Shu-Hui

Alex ✦

MCC Boll Wu, Wu, Boll ✦ ✦ Navdeep Boparai, Navdeep Boparai, ✦ MCC-211 A MCC-102 A MCC-102 Genming Shi, Schering- Genming Shi, Vladimir Ladyzhets, Babson Babson Vladimir Ladyzhets, ✦ Presenter Presenter ✦ ✦ Min Deng, Maryville University, Maryville University, Min Deng, Xiaohui Luo, Merck & Co., Inc.; Inc.; Merck & Co., Xiaohui Luo, ✦ Yongming Qu, Eli Lilly and Company; Lilly and Company; Eli Qu, Yongming ✦ Kimberly Crimin, Pfizer, Inc. Pfizer, Kimberly Crimin, ✦ ✦ Matilde Bini, Università degli Studi di Firenze; Università degli Studi di Firenze; Matilde Bini, ✦ Applied Session Session Applied ✺ Minzhi Liu, Merck & Co., Inc. Merck & Co., Minzhi Liu, Bruno Bertaccini, Università degli Studi di Firenze Bruno Bertaccini, Sanofi-Aventis; Ray Zhu, Sanofi-Aventis Ray Zhu, Sanofi-Aventis; Enterprises Detected Using Robust Classification Yu, National Chi Nan University Yu, Evaluating QT Prolongation— Schering- Gheyas, Ferdous Schering-Plough; Yang, Bo Plough; Schering-Plough Ramachandran Suresh, Plough; Pandurang M. Kulkarni, Eli Lilly and Company Eli Lilly and Kulkarni, M. Pandurang Strounine Methods— among Small Businesses— Insurance Company Claims Distribution— ✦ Subject to Error— St. Louis St. a Practitioner’s Review of Applications— of Review a Practitioner’s Randomized Controlled Clinical Trials— Randomized Controlled Clinical Matilde Sanchez, Merck & Co., Inc. Merck & Co., Matilde Sanchez, Capital Management LLC; Martin Couture, St. Paul Travelers Travelers Paul St. Martin Couture, Capital Management LLC; Schering-Plough; Genming Shi, Schering-Plough; Ferdous Ferdous Schering-Plough; Genming Shi, Schering-Plough; Schering-Plough Gheyas, Case Study for Identifying the Worst Insurance Risks Worst Case Study for Identifying the System for Predicting Corporate Distress— QT Prolongation Potential of Drugs— QT Prolongation Potential of a Clinical Trial?— of a Clinical the Bootstrap— QT and Randomization Issues—Contributed QT and Randomization Themed Session Session Themed 11:35 a.m. Uncorrelated Building Models for Consumer Lending: 11:20 a.m. of Different Groups of Italian Competitiveness 11:05 a.m. Dynamic Hazard Model and Model Change Detection A 10:50 a.m. Insurance: Predictive Modeling in Property and Casualty 10:35 a.m. of Class of Counting Distribution and the Number Business and Economics Statistics Section Business and Economics Statistics Min, IBM Chair(s): Wanli 139 I—Contributed Applications in Business and Economics 12:05 p.m. Assessment of Impact of QT Correction Methods on the 11:55 a.m. Are When Measurements Estimatingthe Response Rate 11:35 a.m. Adjustment— Covariates A Note on Postrandomization 11:20 a.m. in Confounding Factors Treatment Effects from 11:05 a.m. Affect the Balance How Does Stratified Randomization 10:50 a.m. Data Using Dynamic Modeling of Beat-to-beat QT-RR 10:35 a.m. Statistical Mean Change in Properties of Maximal ✺ WNAR Section, Biopharmaceutical Biostatistics Liu, Amgen Global Chair(s): Thomas 138 ✰

GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

11:20 a.m. Shapes of Stationary Autocovariances—✦ Ying Zhao, 11:05 a.m. Fitting Generalized Linear Mixed Effects Models to Very University of Georgia; Robert Lund, Clemson University Large Telecommunications Datasets—✦ Ka Wong, 11:35 a.m. Moment Convergence of Nonlinear Least Squares University of California, Los Angeles; Fei Chen, Fair Isaac Estimates with Applications to Time-series Corporation; Mark H. Hansen, University of California, Los Forecasting—✦ Ching-Kang Ing, Institute of Statistical Angeles Science, Academia Sinica 11:15 a.m. Estimating Correlation Coefﬁcient between Two 11:50 a.m. Observation-driven Models for Time Series Regression Variables with Repeated Observations Using Mixed with Serial Dependence—✦ William Dunsmuir, University Effects Model—✦ Anuradha Roy, The University of Texas at of New South Wales San Antonio 12:05 p.m. Nonlinear Renewal Theory with Stationary and Slowly 11:35 a.m. A Comparison of Computer Software Programs for Changing Perturbations—✦ Dong-Yun Kim, Illinois State Calculating the ICC—✦ Sandra Hall, University of Kansas University Medical Center; Qingjiang Hou, University of Kansas Medical Center; Matthew S. Mayo, University of Kansas Medical Center 142 MCC-103 F 11:50 a.m. Query System with the Integration of Statistics, Design of Experiments II—Contributed Programming, Conﬁdentiality, and Teamwork— Section on Physical and Engineering Sciences, ✦ Rong Huang, University of California, Los Angeles; Hongjian Section on Quality and Productivity Yu, University of California, Los Angeles; Jeff Luck, University Chair(s): Robert Easterling, Itinerant Professor of California, Los Angeles 10:35 a.m. Building Equivalent Estimation Split-plot Designs for 12:05 p.m. Floor Discussion Response Surface Investigations—✦ Peter Parker, NASA; Scott Kowalski, Minitab Inc.; G. Geoffrey Vining, Virginia 144 MCC-102 F Polytechnic Institute and State University Innovative Approaches to Longitudinal and Survival Data 10:50 a.m. Multivariate Analysis of a Computer Experiment for Data Analysis—Contributed Center Thermal Distribution—✦ Yasuo Amemiya, IBM Section on Statistics in Epidemiology, WNAR 11:05 a.m. Statistical Models for Computer Experiment Output Chair(s): Maya Sternberg, U.S. Centers for Disease Control and Prevention Having Qualitative Input Variables—✦ Gang Han, The Ohio State University; Thomas J. Santner, The Ohio State 10:35 a.m. Modeling Correlated Longitudinal Processes in Aging University; William I. Notz, The Ohio State University with Some Processes Partially Observed—✦ Qilu Yu, University of California, Davis; Laurel A. Beckett, University of 11:20 a.m. A New Approach for Predicting the Mean Response in California, Davis; David A. Bennett, Rush Alzheimer’s Disease Computer Experiments with Control and Noise Center; Robert S. Wilson, Rush Alzheimer’s Disease Center Variables—✦ Ofelia Marin, The Ohio State University; William I. Notz, The Ohio State University 10:50 a.m. A Nonparametric Agreement Measure for Discrete Survival Outcomes—✦ Ying Guo, Emory University; Amita 11:35 a.m. Estimation of Transmitted Errors in Computer K. Manatunga, Emory University Experiments—✦ Richard McGrath, Bowling Green State University; Arthur B. Yeh, Bowling Green State University; 11:05 a.m. Use of the Local Knox Statistic for the Prospective Yu Zheng, University of Florida Monitoring of Disease Occurrences in Space and Time—✦ J. Brooke Marshall, Virginia Polytechnic Institute 11:50 a.m. Floor Discussion and State University; Dan Spitzner, Virginia Polytechnic Institute and State University; William H. Woodall, Virginia Polytechnic 143 MCC-210 AB Institute and State University Algorithms and Software—Contributed 11:20 a.m. Case-cohort Designs and Analysis for Clustered Failure Section on Statistical Computing Time Data—✦ Shou-En Lu, University of Medicine and Chair(s): Murali Haran, The Pennsylvania State University Dentistry of New Jersey; Joanna H. Shih, National Cancer 10:35 a.m. An Optimization Approach for the Parameter Estimation Institute ✦ of the Nonlinear Mixed-effects Models— Jing Wang, 11:35 a.m. A Comparison of Maximum Likelihood and GEE Louisiana State University Estimators of Marginal Pairwise Associations in a 10:50 a.m. Multiplicative Interaction Models in R—✦ Heather Turner, Multiple Source Setting—✦ Liam O’Brien, Colby College; The University of Warwick; David Firth, The University of Garrett M. Fitzmaurice, Harvard School of Public Health; Warwick Nicholas J. Horton, Smith College

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SCHEDULE MINNEAPOLIS MCC-205 B MCC-205 Andrea R. Piesse, Westat; Westat; Piesse, Andrea R. ✦ -Hyatt Regency Minneapolis Regency -Hyatt HY Karol Krotki, RTI International; Darryl International; RTI Karol Krotki, ✦ Yulei He, University of Michigan; University of Michigan; He, Yulei ✦ Jan Goebel, DIW Berlin Jan Goebel, Marcus Berzofsky, RTI International; June Cong, June Cong, International; RTI Marcus Berzofsky, ✦ MCC-Level Two Lobby B MCC-Level Two ✦ -Hilton Minneapolis Minneapolis -Hilton H Derek Blankenship, University of Oklahoma Health University Derek Blankenship, ✦ Soma Roy, The Ohio State University; Elizabeth A. Stasny, Stasny, A. Elizabeth The Ohio State University; Soma Roy, GENERAL PROGRAM PROGRAM GENERAL RTI International; Roy Whitmore, RTI International RTI Whitmore, Roy International; RTI David R. Judkins, Westat; Zizhong Fan, Westat Fan, Zizhong Westat; Judkins, David R. Creel, RTI International RTI Creel, Distributions— ✦ The Ohio State University Floor Discussion Measures— Classes— Multiple Imputations for the Missing Fathers— Raghunathan E. Trivellore, University of Michigan Trivellore, Raghunathan E. Patrick Bartshe, Arizona State University Bartshe, Patrick ✦ Their NationalApplication Board Dentistry Information and Scores— Sciences Center Sciences Center; Barbara Neas, University of Oklahoma Health University Barbara Neas, Sciences Center; Contributed Posters 10:30 a.m.–12:20 p.m. a.m.–12:20 10:30 Posters Contributed Item Imputation—Contributed 02 Using Techniques Analysis Demonstration of Multivariate 11:35 a.m. of Multiple Imputation under Multivariate gh Family 11:50 a.m. Study: Well-being and Child Families The Fragile 12:05 p.m. 147 Contributed Poster Session 2—Contributed Section on Statistical General Methodology, Sports, Section on Education, Section on Statistics in on Statistics in the Health Sciences, Section Teaching Survey Research Health Policy Statistics, Section on Social Epidemiology, Methods, Section on Statistics in Statistics Section Columbia University Kuen Cheung, Organizer(s): Ying Columbia University Kuen Cheung, Chair(s): Ying General 01 a General Investigation— Law to Statistics: Applying Pareto’s 146 ✺ Social Statistics Methods, on Survey Research Section Section Iowa State University Chair(s): Liza M. Nirelli, 10:35 a.m. Item Imputation Made Easy— 10:50 a.m. Mass Imputation— 11:05 a.m. Evaluation of Imputation Methods for Complex 11:20 a.m. Evaluation Creation of PCA/CHAID for the of Imputation

Lester

-Minneapolis Convention Center Center Convention -Minneapolis

✦ MCC Sally W. W. Sally ✦ Natasa Rajicic, Natasa Rajicic, ✦ Raymond Okafor, Raymond Okafor, Leigh Harrod, Oregon Leigh Harrod, ✦ ✦ MCC-202 AB Presenter Presenter ✦ Jun Liu, RTI International; International; RTI Jun Liu, ✦ Michael Mosier, Washburn Washburn Michael Mosier, ✦ Yu Wu, Iowa State University; Wayne Wayne Iowa State University; Wu, Yu ✦ Applied Session Session Applied ✺ Mingue Park, University of Nebraska University Mingue Park, Harvard School of Public Health; Dianne Finkelstein, MGH Dianne Finkelstein, Harvard of Public Health; School MGH Biostatistics David Schoenfeld, Biostatistics; Classiﬁcation Methods— Genearray and Ordinal Event Data—Genearray and Ordinal University ✦ A. Fuller, Iowa State University Fuller, A. Using a New Dose Metric of Smoking— Using a New Health Curtin, U.S. Centers for Disease Control and Prevention; Barry Centers for Disease Control and Prevention; U.S. Curtin, National Cancer Institute Graubard, Shiying Wu, RTI International; Robert Morris, RTI International; International; RTI Robert Morris, International; RTI Wu, Shiying RTI Wang, Jiantong International; RTI Seungho Huh, Thurston, University of Rochester; Geoffrey Liu, Harvard Liu, Geoffrey of Rochester; University Thurston, Harvard School of Miller, David P. Health; School of Public Harvard School of Public Christiani, C. David Public Health; Conﬁdence Intervals— State University; Virginia Lesser, Oregon State University; Annie Oregon State University; Virginia Lesser, State University; Oregon State University Qu, University of Lagos, Nigeria University of Lagos, Quantities and Its Use in Two-phase Sampling— Two-phase Quantities and Its Use in International; James Raymer, RTI International; Ye Hu, RTI RTI Hu, Ye International; RTI Raymer, James International; International RTI Larry Michael, International; Data when the Degrees of Freedom Is Small— Data the Degrees of Freedom when Survey Samples— Functions in Complex Surveys— on Independent Sample Surveys: Design Issues and Design on Independent Sample Surveys: Aggregation of Survey Results— Estimation with Survey Data—Contributed Themed Session Session Themed 12:05 p.m. of Nonrandom Sampling for The Consequences 11:50 a.m. Estimator Regression with Estimated Population 11:35 a.m. Statistics for Complex Survey Test A Comparison of 11:20 a.m. Procedures for Regression with Testing Preliminary 11:05 a.m. Selection and Variable SimulationComparison of 10:50 a.m. Use of Estimating Equations and Quadratic Inference 10:35 a.m. Showcasing Undergraduate Students’ Projects Based Section on Survey Research Methods, Social Statistics Research Section on Survey Section Chair(s): Jong-Min Kim, University of Minnesota 145 ✺ 12:05 p.m. Association between Longitudinal for Test Score 11:50 a.m. Studies Cancer Risk in Case-control Modeling Lung ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

Health Policy, Public Health 14 Transitioning the Equal Employment Opportunity (EEO) File 03 Arkansas Act 1220 Evaluation: Multistage Stratiﬁed Surveys from the Decennial Census to the American Community Survey with PPS Sampling—✦ C. Heath Gauss, University of Arkansas for (ACS)—✦ Katharine Earle, U.S. Census Bureau Medical Sciences; Zoran Bursac, University of Arkansas for Medical 15 A Multivariate Statistical Analysis of Crime Rate in U.S. Sciences; Martha Phillips, University of Arkansas for Medical Sciences; Cities—✦ Ralph Gedeon, University of Florida; Kendall Williams, LeaVonne Pulley, University of Arkansas for Medical Sciences; Delia Howard University West, University of Arkansas for Medical Sciences; James Raczynski, Sports, Art, Entertainment University of Arkansas for Medical Sciences 16 The Effects of Elevation on Slugging Percentage in Major 04 Evaluation of Smoothing Methods for Estimating Mortality League Baseball—✦ Jay Schaffer, University of Northern Colorado; Dynamics over Age and Time with Application to U.S. Erik Heiny, University of Northern Colorado Mortality—✦ Kirill Andreev, Queen’s University Teaching, Training, Consulting 05 Integration of Computed Patient Anatomic and Case Data with 17 Rapid-feedback Quizzing and Methods of Implementation: Clinical Insight: an Ontology for ‘Case Type,’ Combining Computed a Case Study in Classroom Research—✦ Dexter C. Whittinghill, Statistics with Clinician-provided Text, and Diagnoses— Rowan University; John Chen, Rowan University; Jennifer Kadlowec, Christopher Overton, Align Technology; ✦ Michael Zakharevich, Align Rowan University Technology 18 Assessment of Introductory Statistics and Statistics Sampling and Survey Methodology Programs—✦ Julia Norton, California State University, East Bay; 06 The Construction of Conﬁdence Intervals for Extreme Jean C. Ellis, California State University, East Bay; Jaimyoung Kwon, Percentiles—✦ Margaret Carroll, National Center for Health Statistics California State University, East Bay 07 Sampling Excluding Units in Species Diversity Study— 19 Using Standard Statistical Software Packages To Make ✦ Kyoungah See, Miami University; A. John Bailer, Miami University; Statistical Inferences about a Linear Combination of Regression Tom Crist, Miami University Parameters—✦ J. Burdeane Orris, Butler University; Bruce Bowerman, 08 An Empirical Comparison of Multivariate Sample Allocation Miami University of Ohio Methods—Kimberly Henry, U.S. Internal Revenue Service; ✦ Yahia 20 Educating the States: a Multivariate Statistical Analysis of Ahmed, U.S. Internal Revenue Service Education—✦ Sara Blight, University of Arizona; Nick Imholte, Xavier 09 Use of a Web-based Sample Replacement Software Application University for Data Collectors in the Field—✦ Andrey Vinokurov, ORC Macro 21 A Biostatistics Workbook for Medical Students—✦ L. Jane International, Inc.; Daniel Geller, ORC Macro International, Inc.; Pedro J. Goldsmith, University of Louisville, Elizabeth S. Goldsmith Saavedra, ORC Macro International, Inc.; Tamara Martin, U.S. 22 The Statistics Concept Inventory: a Tool for Measuring Learning Department of State in Introductory Statistics—✦ Kirk Allen, University of Oklahoma; 10 Mode Effects in a Safety and Health Survey of Health Care Andrea Stone, University of Oklahoma; Maria Cohenour, University of Workers: Findings from a Pilot Test at a Regional Medical Oklahoma; Teri Reed Rhoads, University of Oklahoma; Teri J. Murphy, Center—✦ Karl Sieber, National Institute of Occupational Safety and University of Oklahoma; Robert Terry, University of Oklahoma Health; James M. Boiano, National Institute of Occupational Safety and Health; Gregory M. Piacitelli, National Institute of Occupational Safety and Health; James D. Catalano, Battelle Centers for Public Health Speaker Luncheon 12:30 p.m.–1:50 p.m. Research and Evaluation; Nicholas J. Heyer, Battelle Centers for Public Health Research and Evaluation; Payn Betsy, Battelle Centers for Public Health Research and Evaluation 148 MCC-206 AB Social and Behavioral Science Statistics in Sports Section Speaker Luncheon (fee 11 Estimating and Testing Parameters in the Presence of event)—Luncheons Measurement Error: a Comparison of Approaches—✦ Todd Section on Statistics in Sports Bodner, Portland State University Organizer(s): James J. Cochran, Louisiana Tech University 12 A Measurement of Missouri School Board Member Training— ML00 Baseball’s Best Batters: a Comparison of Models— ✦ Angela Walmsley, St. Louis University; Carol Lupardus, St. Louis ✦ Michael J. Schell, The University of North Carolina at Chapel Hill Community College 13 Clinical Ethics Consultation—✦ Terry Tomazic, St. Louis University; Emily Anderson, St. Louis University; Valerie Badro, St. Louis University; Barry Katz, St. Louis University

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✦ Shari Kraber, Shari Kraber, Paola Paola ✦ SCHEDULE ✦ MINNEAPOLIS Mark C. Fulcomer, Fulcomer, Mark C. John G. Jiang, Jiang, John G. ✦ ✦ -Hyatt Regency Minneapolis Regency -Hyatt J. C. Lu, Georgia Institute of Lu, C. J. HY ✦ MCC-Ballroom B MCC-Ballroom B MCC-Ballroom B MCC-Ballroom MCC-Ballroom B MCC-Ballroom B MCC-Ballroom James Marron, The The University The James Marron, ✦ James Cubellis, Hoag Memorial Hospital Hoag Memorial Hospital James Cubellis, ✦ -Hilton Minneapolis Minneapolis -Hilton Timothy G. Gregoire, Yale University Yale Gregoire, G. Timothy H ✦

GENERAL PROGRAM PROGRAM GENERAL

SOLD OUT OUT OUT OUT OUT OUT SOLD SOLD SOLD SOLD SOLD SOLD of Statistical Data on Race/Ethnicity— Technology Utah State University Minnotte, Boston University Sebastiani, Stat-Ease, Inc. Stat-Ease, Globe— Presbyterian; Martin Kleinbart, Hoag Memorial Hospital Presbyterian Hoag Memorial Hospital Kleinbart, Martin Presbyterian; Sebastiani, Boston University Boston University Sebastiani, Sebastiani, of North Carolina at Chapel Hill Size Is Small— Cephalon, Inc. Cephalon, Richard Stockton College of New Jersey; S. David Kriska, Restat Restat David Kriska, S. of New Jersey; Richard Stockton College UMDNJ School of Public Health Sass, Marcia M. Inc.; Systems, Data-driven Data-driven Modeling— Modeling— Versus Versus Hypothesis Hypothesis 157 Section on Statistics in Epidemiology Roundtable Luncheon (fee event)—LuncheonsLuncheon (fee event)—LuncheonsLuncheon (fee event)—Luncheons Organizer(s): Lisa Sullivan, Boston UniversityOrganizer(s): Lisa Sullivan, Boston UniversityOrganizer(s): Lisa Sullivan, Boston University ML19 Data-driven Modeling— Versus Hypothesis ML16 Statistics in Nanotechnology— 155 Luncheon Section on Statistical Graphics Roundtable (fee event)—Luncheons University Organizer(s): Juergen Symanzik, Utah State ML17 and Forests— Trees Visualization for Statistical 156 Roundtable Section on Statistics and the Environment Luncheon (fee event)—Luncheons Organizer(s): Estelle Russek-Cohen, U.S. Food and Drug Administration ML18 and Boreal Regions of the Statistics in the Polar for Research 154 Roundtable Section on Quality and Productivity Luncheons (fee event)—Luncheons GE Global Research Organizer(s): Martha Gardner, ML15 Successful Strategies for Screening DOEs— ML11 When Sample Outcomes Adjustment of Patient Risk Clinical ML12 and Implications Analysis, the Collection, on Perspectives ML13 Analysis of Cost Effectiveness Data— 153 and Engineering Sciences Section on Physical (fee event)—Luncheons Roundtable Luncheon Loughin, Kansas State University Organizer(s): Thomas ML14 Statistics in Internetland— -Minneapolis Convention Center Center Convention -Minneapolis John M. John M. MCC ✦ Giovanni Charles Anello, Anello, Charles

✦ ✦ Presenter Presenter ✦ MCC-Ballroom B MCC-Ballroom B MCC-Ballroom MCC-Ballroom B MCC-Ballroom MCC-Ballroom B MCC-Ballroom Jeff Maca, Novartis Jeff Maca, Bruce Binkowitz, Merck Research Merck Research Bruce Binkowitz, Bruce Binkowitz, Bruce Binkowitz, Merck Research Bruce Binkowitz, ✦ ✦✦✦ Cristiana Gassmann-Mayer, Johnson & Johnson & Cristiana Gassmann-Mayer, Cristiana Gassmann-Mayer, Keith Soper, Merck & Co., Inc. Merck & Co., Keith Soper, Cristiana Gassmann-Mayer, Johnson & Cristiana Gassmann-Mayer, ✦ ✦✦✦ Mani Lakshminarayanan, Pﬁ zer, Inc.; Jose Alvir, Alvir, Jose Inc.; zer, Pﬁ Mani Lakshminarayanan, Harvey A. Schwartz, Agency for Healthcare Schwartz, A. Harvey ✦ ✦ Applied Session Session Applied ✺ James T. Symanowski, Eli Lilly and Company Symanowski, T. James

✦

SOLD OUT OUT OUT OUT SOLD SOLD SOLD SOLD SOLD OUT OUT OUT OUT OUT OUT OUT SOLD SOLD SOLD SOLD SOLD SOLD SOLD SOLD OUT OUT OUT OUT OUT OUT SOLD SOLD SOLD SOLD SOLD SOLD Interest in Statistical Talks and Articles?— and Talks Interest in Statistical Unnecessary Analysis?— Unnecessary Exploration?— Trials— Designs in Clinical for Statisticians— in Clinical Trials— in Clinical Pharmaceuticals Pfi zer, Inc. zer, Pfi Bushery, U.S. Census Bureau U.S. Bushery, Background— Research and Quality Bushery, U.S. Census Bureau Census Bureau U.S. U.S. Bushery, Bushery, Parmigiani, Johns Hopkins University Parmigiani, Drugs— Analysis?—Analysis?— UnnecessaryUnnecessary LaboratoriesLaboratoriesLaboratories in Clinical Trials— Trials— in Clinical in Clinical JohnsonJohnsonJohnson U.S. Food and Drug Administration and Drug Food U.S. Agencies—Agencies— Measuring Processes in Statistical Measuring Processes in Statistical or or Secondary, Secondary, Primary, Primary, Last-observation-carried-forward: Last-observation-carried-forward: Analyses Analyses Issues in the Use and Interpretation Issues in the Use and Interpretation of Subgroup of Subgroup Roundtable Luncheons 12:30 p.m.–1:50 p.m. p.m.–1:50 12:30 Luncheons Roundtable Themed Session Session Themed Luncheons (fee event)—Luncheons Medical Center New England Organizer(s): Chris Schmid, Tufts ML10 and Men of Diverse Women Centeredness and Patient 152 Section on Health Policy Statistics Roundtable Organizer(s): Michael P. Cohen, Bureau of Transportation Statistics Statistics Statistics Cohen, Bureau of Transportation Cohen, Bureau of Transportation Cohen, Bureau of Transportation Organizer(s): Michael P. Organizer(s): Michael P. Organizer(s): Michael P. ML09 Agencies— Measuring Processes in Statistical 151 Section on Government Statistics Roundtable Luncheon (fee event)—Luncheons Luncheon (fee event)—Luncheons Ohio State University Organizer(s): Steven N. MacEachern, The ML08 ict of of Confl for Disclosure ASA Need Standards Does the 150 Roundtable Section on Bayesian Statistical Science ML07 and Future— Present, Past, Metaanalyses: ML06 or Secondary, Primary, Last-observation-carried-forward: ML04 Data-intensive Opportunities Strategies Discovery: in Drug ML05 Statistical Issues Related of Prevention to Development ML03 Adaptive Sample Size Reestimation and Other Innovative ML02 or Innovative Dredging Data: Trial Data Mining Clinical ML01 Analyses Issues in the Use and Interpretation of Subgroup Biopharmaceutical Section Roundtable Luncheons Roundtable Luncheons Section Biopharmaceutical (fee event)—Luncheons Clark, ICON Clinical Research Clark, ICON Clinical Research Clark, ICON Clinical Research Organizer(s): B. ChristineOrganizer(s): B. ChristineOrganizer(s): B. Christine 149 ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

158 MCC-Ballroom B Special Presentation 2:00 p.m.–3:50 p.m. Section on Survey Research Methods Roundtable Luncheons (fee event)—Luncheons Organizer(s): David R. Judkins, Westat 164 MCC-200 ABC Late Breaking Session 1: Bias in Exit Polls ML20 The American Community Survey (ACS) Challenges for The ASA, ENAR, IMS, SSC, WNAR Replacing the Census Long Form—✦ Rajenda P. Singh, U.S. Census Bureau Organizer(s): Clyde Tucker, Bureau of Labor Statistics ML21 Sample Design Challenges in International Surveys— Chair(s): Clyde Tucker, Bureau of Labor Statistics ✦ Sheila A. Krawchuk, Westat 2:05 p.m. Exit Poll Bias in the 2004 U.S. General Election— ✦ Warren Mitofsky, Mitofsky International 159 MCC-Ballroom B 2:25 p.m. Ohio Election Analysis—✦ Mary Batcher, Ernst & Social Statistics Section Roundtable Luncheon (fee Young LLP event)—Luncheons 2:45 p.m. Exit Polls in the Ukraine—✦ Anna Andreenkova, Organizer(s): Juanita Tamayo Lott, U.S. Census Bureau CESSI, Ltd. ML22 Frontline View of Data Collection Operations—✦ Kathleen 3:05 p.m. Investigating Causes of within-Precinct Error in Exit Ludgate, U.S. Census Bureau Polls: Confounds and Controversies—Elizabeth Liddle, University Nottingham; ✦ Mark Lindeman, Bard College 160 MCC-Ballroom B 3:25 p.m. Searching for Errors in Exit Polls: Interviewer- Section on Teaching of Statistics in the Health Sciences respondent Interactions—✦ Kathleen Frankovic, Roundtable Luncheon (fee event)—Luncheons CBS News Organizer(s): Janet Tooze, Wake Forest University School of Medicine 3:45 p.m. Floor Discussion ML23 Assessment of Medical Students and Postgraduate Physicians in Biostatistics Courses—✦ Reena Deutsch, University of California, San Diego Invited Sessions 2:00 p.m.–3:50 p.m. 161 MCC-Ballroom B Section on Statistical Education Roundtable Luncheons 165 MCC-200 F (fee event)—Luncheons Medallion Lecture 3—Invited ML24 The Statistical Preparation of Preservice Teachers— IMS ✦ John Gabrosek, Grand Valley State University Organizer(s): David Madigan, Rutgers, The State University of ML25 Inquiry-based Learning in the Introductory Statistics New Jersey Classroom—✦ Deborah Rumsey, The Ohio State University Chair(s): Jonathan Taylor, Stanford University ML26 ‘How-squared’ to Implement Writing Assignments in a 2:05 p.m. A Quasi-Monte Carlo Metropolis Algorithm—✦ Art B. StatisticsSOLD Classroom—✦ Amy Phelps,OUT Duquesne University Owen, Stanford University 3:35 p.m. Floor Discussion 162 MCC-Ballroom B Section on Risk Analysis Roundtable Luncheon (fee 166 MCC-200 DE event)—Luncheons ✺ Inference and Prediction under Kullback-Leibler Organizer(s): Ingo Ruczinski, Johns Hopkins University Loss—Invited ML27 Genetic Epidemiology and Disease Risk—✦ M. Daniele Fallin, IMS, Section on Bayesian Statistical Science Johns Hopkins University Organizer(s): Edward I. George, University of Pennsylvania 163 MCC-Ballroom B Chair(s): Xinyi Xu, University of Pennsylvania Section on Statistical Consulting Roundtable Luncheon 2:05 p.m. Bayesian Prediction under Relative Entropy Regret— (fee event)—Luncheons ✦ Trevor J. Sweeting, University College London Organizer(s): Todd G. Nick, Cincinnati Children’s Hospital Medical 2:35 p.m. Asymptotic Admissibility of Parametric Density Center Estimators—✦ John A. Hartigan, Yale University; Mihaela ML28 WorkingSOLD with Clients and Researchers: OUT Communication Is the Aslan, Yale University Key—✦ Thomas Loughin, Kansas State University

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SCHEDULE MINNEAPOLIS William Kaiser, William Kaiser, Xin Gao, York York Xin Gao, MCC-200 G MCC-200 ✦ ✦ Judith Donath, Judith Donath, MCC-212 AB ✦ -Hyatt Regency Minneapolis Regency -Hyatt Ji-Hyung Shin, Simon Fraser Simon Fraser Ji-Hyung Shin, Shelley B. Bull, University of Bull, Shelley B. HY ✦ ✦ Janet Abrams, University of Abrams, Janet ✦ Radu Craiu, University of Toronto; Lei Sun, Lei Sun, Toronto; University of Radu Craiu, ✦ -Hilton Minneapolis Minneapolis -Hilton H The New York Times York The New Matthew Ericson, GENERAL PROGRAM PROGRAM GENERAL University of California, Los Angeles Los University of California, University Studies by Resampling— Lunenfeld Research Institute Minnesota Sensing— Embedded Networked ✦ Massachusetts Institute of Technology of Massachusetts Institute University; Jinko Graham, Simon Fraser University; Brad University; Simon Fraser Jinko Graham, University; University Simon Fraser McNeney, Samuel Wu, Longyang Toronto; University of Lei Sun, Toronto; University of Toronto University of Genetic Factor and Independent Continuous Attribute Continuous and Independent Genetic Factor from Case-control Data— Rate— Microarray Data— Temporal and Statistical Analysis and Modeling of Complex and Modeling of Complex Analysis Statistical ✰

3:45 p.m. Floor Discussion 170 ✺ Methods SSC, Section on Survey Research Organizer(s): Lei Sun, University of Toronto Chair(s): Lei Sun, University of Toronto 2:05 p.m. Associations with a Likelihood Inference of Disease 2:30 p.m. Nondiscovery and Rate Discovery False of Analysis Joint 2:55 p.m. Inference for Spatial Nonparametric Order-restricted 3:20 p.m. Reduction of Effect Estimate Bias in Genomewide 3:45 p.m. Floor Discussion 169 Data—Invited Mapping Graphics Section on Statistical IMS, WNAR, Los Angeles University of California, Mark H. Hansen, Organizer(s): University of California, Los Angeles Chair(s): Mark H. Hansen, 2:05 p.m. Elsewhere Mapping— 2:30 p.m. for Techniques and Tools Enabling Statistics 2:55 p.m. Mapping Social Landscapes— 3:20 p.m. Data Maps in the Media— Blue State: Red State, Traits—Invited

-Minneapolis Convention Center Center Convention -Minneapolis Edward I. Edward I. MCC ✦ MCC-102 A MCC-102 B Ke Zhang, North Ke Zhang, ✦ Philip K. Hopke, Clarkson Hopke, Philip K. Presenter Presenter ✦ ✦ William F. Christensen, Brigham Christensen, William F. ✦ Eun Sug Park, Texas Transportation Transportation Texas Eun Sug Park, ✦ Applied Session Session Applied ✺ S. Stanley Young, National Institute of Statistical Sciences; National Institute of Statistical Sciences; Young, Stanley S. Yvonne Martin, Abbott Laboratories Yvonne Martin, Disc: Douglas M. Hawkins, University of Minnesota Hawkins, Douglas M. Disc: Disc: Clifford Spiegelman, Texas A&M University/Texas University/Texas A&M Texas Clifford Spiegelman, Disc: University of Pennsylvania; Feng Liang, Duke University; Duke University; Liang, Feng Pennsylvania; University of George, University of Pennsylvania; Lawrence Brown, Lawrence Brown, of Pennsylvania; University George, Young University Young Statistical Science ✦ North Hughes-Oliver, Jacqueline M. Carolina State University; National Institute of Young, Stanley S. Carolina State University; ✦ Institute Receptor Modeling— University; Emma P. Treplet, University of Barcelona Treplet, Emma P. University; Xinyi Xu, University of Pennsylvania University Xinyi Xu, Kejun Liu, GlaxoSmithKline; Salvadore Profeta, Jr., University University Jr., Salvadore Profeta, GlaxoSmithKline; Kejun Liu, Sanoﬁ-Aventis Sean Ge, of South Carolina; Transportation Institute Transportation Using Optimal Bit String Trees— Using Optimal Bit String Source Apportionment— Source Composition Data— Particle

The Pollution Blame Game: Quantifying the Impact and Quantifying the The Pollution Blame Game: Statistical Issues in High-throughput Chemistry— Statistical Issues in High-throughput Themed Session Session Themed 3:20 p.m. 3:40 p.m. Floor Discussion 2:55 p.m. Identifying Quantitative Structure-activity Relationships 2:30 p.m. Analysis of Chemical Reaction Data— Three-block A 2:05 p.m. How Describe a Molecule to a Computer?— Does One Section on Physical and Engineering Sciences Section on Physical and Engineering State Carolina North Hughes-Oliver, M. Jacqueline Organizer(s): University University State Carolina North Hughes-Oliver, M. Jacqueline Chair(s): 168 ✺ Invited 3:40 p.m. Floor Discussion 3:20 p.m. 2:55 p.m. Airborne Analysis to Application of Multiway Factor 2:30 p.m. Assessment of Model Uncertainty in Multivariate Organizer(s): William F. Christensen, Brigham Young University Christensen, Brigham Young Organizer(s): William F. The University of Iowa Chair(s): Dale Zimmerman, 2:05 p.m. Analysis for Pollution Iterated Conﬁrmatory Factor ✰ Sources—Invited Composition of Pollution WNAR and the Environment, Section on Statistics 3:35 p.m. Floor Discussion 167 3:05 p.m. Predictive Estimation— High-dimensional ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

171 MCC-211 D 2:35 p.m. Privacy-preserving Statistical Analyses of Distributed ✺ Streaming Graphics—Invited Data Using Data Perturbations—✦ Ashish P. Sanil, Section on Statistical Graphics National Institute of Statistical Sciences Organizer(s): Lee Wilkinson, Northwestern University 3:05 p.m. Statistical Analysis in the Presence of Matching Chair(s): Lee Wilkinson, Northwestern University Uncertainty—✦ Max-Louis Buot, Carnegie Mellon University 2:05 p.m. Streaming Graphics for Real-time Network Monitoring— 3:35 p.m. Floor Discussion Lorraine Denby, Avaya Labs Research; ✦ James Landwehr, Avaya Labs Research; Akshay Adhikari, Avaya Labs Research; 174 MCC-103 C Jean Meloche, Avaya Labs Research ✺ ✰ Sample Surveys in Unsettled Situations—Invited 2:35 p.m. Change Detection and Visualization in Datastreams— Section on Survey Research Methods, Social Statistics ✦ Stephen G. Eick, University of Illinois, Chicago; Robert Section Grossman, University of Illinois, Chicago Organizer(s): David Banks, Duke University 3:05 p.m. Interactive Visualization of Streaming Data—✦ Andrew Chair(s): Demissie Alemayehu, Pﬁzer, Inc. A. Norton, SPSS Inc 2:05 p.m. Designing Questionnaires for Human Rights Violations 3:35 p.m. Floor Discussion Measurement—✦ Daniel Manrique, Pontiﬁcia Universidad Católica del Perú; Jana Asher, Carnegie Mellon University 172 MCC-205 C 2:30 p.m. Interview Format and Sampling Strategies in Human ✺ Recent Advances in Nonparametric and Rights Data Collection: Experiences and Results from Semiparametric Estimation—Invited East Timor and Sierra Leone—Patrick Ball, The Benetech Biometrics Section, Section on Nonparametric Initiative; ✦ Romesh Silva, The Benetech Initiative Statistics, ENAR 2:55 p.m. Health and Human Rights in Developing Countries: What Organizer(s): David Ruppert, Cornell University Surveys Do—and Don’t!—✦ Lara Wolfson, World Health Chair(s): Douglas Nychka, National Center for Atmospheric Organization Research 3:40 p.m. Floor Discussion 2:05 p.m. Hierarchical Functional Data: Semiparametric and Nonparametric Methods for Modeling Functional 175 MCC-102 E Dependence with Application to Colonic Crypt ✺ ✰ Statistical Methods for Customer Base Analysis— Signaling—✦ Raymond J. Carroll, Texas A&M University Invited 2:30 p.m. Statistical Models for Complex Datasets—✦ Grace Section on Statistics and Marketing, Section on Wahba, University of Wisconsin, Madison Physical and Engineering Sciences, Section on Quality and Productivity 2:55 p.m. Extensions of Penalized Spline Regression for Natural Organizer(s): Wendy Moe, University of Maryland Resource Monitoring Applications—✦ Jay Breidt, Colorado State University Chair(s): Tom Shively, The University of Texas at Austin 3:20 p.m. Disc: Jean D. Opsomer, Iowa State University 2:05 p.m. Simple Models for Customer-base Analysis— ✦ Bruce Hardie, London Business School; Peter Fader, 3:40 p.m. Floor Discussion University of Pennsylvania 173 MCC-102 D 2:25 p.m. RFM and CLV: Using Iso-value Curves for Customer- base Analysis—✦ Peter Fader, University of Pennsylvania; ✺ Secure Statistical Analysis of Distributed Databases— Bruce Hardie, London Business School; Ka Lok Lee, Catalina Invited Marketing National Institute of Statistical Sciences, Section on Statisticians in Defense and National Security, Section 2:45 p.m. A Hidden Markov Model of Customer Relationship on Government Statistics Dynamics—✦ Oded Netzer, Columbia University; James Organizer(s): Alan F. Karr, National Institute of Statistical Sciences Lattin, Stanford University; V. Srinivasan, Stanford University Chair(s): Alan F. Karr, National Institute of Statistical Sciences 3:05 p.m. A Multicategory View of Customer Relationships— 2:05 p.m. Privacy Preserving Statistical Analysis for Horizontally Pradeep Chintagunta, The University of Chicago; Xiaojing ✦ Partitioned Datasets—✦ Xiaodong Lin, University of Dong, Northwestern University; Puneet Manchanda, The Cincinnati/NISS University of Chicago

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SCHEDULE (Retired) MCC-205 A MINNEAPOLIS MCC-202 AB -Hyatt Regency Minneapolis Regency -Hyatt Ping Zhang, Avaya Labs Labs Avaya Ping Zhang, HY Chris Olsen, Cedar Rapids Chris Olsen, ✦ Ta-Hsin Li, IBM Li, Ta-Hsin ✦ ✦ Shane Jensen, University of Pennsylvania Shane Jensen, Trottini Mario, University of Alicante University of Mario, Trottini ✦ ✦ -Hilton Minneapolis Minneapolis -Hilton H Marc Isaacson, Augsburg College Marc Isaacson, Milo Schield, Cognitive Consulting; Burnham, Tom Samiran Sinha, Texas A&M University A&M Texas Samiran Sinha, SAMSI/Duke University Jesus Palomo, IIMAS-UNAM Mena, Ramsés H. Tribune Minneapolis Star & Lewis Cope, The State University of New Jersey Rutgers, Jane Miller, GENERAL PROGRAM PROGRAM GENERAL Research; Patrick H. Tendick, Avaya Labs Research Avaya Tendick, H. Patrick Research; ✦ ✦ Augsburg College ✦ ✦ Problems— ✦ Community Schools ✦ ✦ Clustering— Computer Workload— Computer Comparisons of Percentages and Rates—Comparisons of Percentages of Enterprise Workﬂow— of Enterprise Elementary Statistics— Savage Award 2004 Winners—Topic Contributed Winners—Topic 2004 Award Savage ✰

3:05 p.m. Online at Statistical Capella Literacy University— 3:25 p.m. Program for Descriptions and A Grammar-parsing 3:45 p.m. Floor Discussion 2:25 p.m. Studies— Case-control Matched for Inference Bayesian 2:45 p.m. Bayesian Methods in Bidding Processes— 3:05 p.m. Limitation Decision Models for Data Disclosure 3:25 p.m. Approach— Stationary Models via a Bayesian 3:45 p.m. Floor Discussion 179 Contributed Statistical Literacy 2005—Topic Social Statistics Section on Statistical Education, Section Organizer(s): Milo Schield, Augsburg College Chair(s): Milo Schield, Augsburg College 2:05 p.m. Confounding in Teaching Epidemiologyas a Context for 2:25 p.m. View of Statistics— and a Journalist’s Tales, Toys, 2:45 p.m. Us about Statistical Literacy?— Teach ‘CSI’ What Can 3:05 p.m. Approach to Optimal Consolidation of A Statistical 3:25 p.m. Analysis Performance and Visualization, Discovery, 3:45 p.m. Floor Discussion 178 ✺ Statistical Science Section on Bayesian Clyde, Duke University Organizer(s): Merlise Duke University Chair(s): Merlise Clyde, 2:05 p.m. Bayesian Models for Regulatory Motif Discovery and

-Minneapolis Convention Center Center Convention -Minneapolis

MCC MCC-211 B Yoichi Ii, Pﬁzer Ii, Yoichi ✦ MCC-201 AB Presenter Presenter ✦ Wendy Moe, University of Maryland; of Maryland; University Moe, Wendy ✦ Bonnie Ray, IBM Bonnie Ray, Yuki Ando, Pharmaceuticals and Medical Ando, Yuki ✦ ✦ Steven Watts, Eli Lilly and Company Watts, Steven Hajime Uno, Harvard School of Public Health; Harvard School of Public Health; Hajime Uno, Scott Vander Wiel, Bell Labs, Lucent Bell Labs, Wiel, Vander Scott ✦ ✦ ✦ Applied Session Session Applied ✺ Zhiguang Qian, Georgia Institute of Technology Georgia Institute of Zhiguang Qian, Disc: Charles Anello, U.S. Food and Drug Administration and Drug Food U.S. Anello, Charles Disc: Sha Yang, New York University; Tom Shively, The University of Shively, Tom University; York New Yang, Sha Austin at Texas Incumbent’s Customer Base: Structural Changes versus Changes versus Structural Customer Base: Incumbent’s Technologies; Diane Lambert, Bell Labs, Lucent Technologies; Technologies; Lucent Bell Labs, Diane Lambert, Technologies; A. David Technologies; Lucent Bell Labs, Chambers, John M. Technologies Lucent Bell Labs, James, Japan, Inc. Japan, Bridging to Multinational Trials— Bridging to Multinational Devices Agency Devices Masahiro Takeuchi, Kitasato University Graduate School Kitasato Takeuchi, Masahiro ✦ Development— Problems— Dynamic Effects— Services— Modeling and Optimization in Business Consulting— Engagements— Population—

Topic Contributed Sessions 2:00 p.m.–3:50 p.m. p.m.–3:50 2:00 Sessions Contributed Topic ICH-E5 Application: to Date and the Future—Topic to Date and the Future—Topic Application: ICH-E5 Themed Session Session Themed 2:45 p.m. A Response Surface Method for Simulation-based 2:25 p.m. Incremental Quantiles for Monitoring Business 2:05 p.m. Marketing of Services Targeted Statistical Models for Business and Economics Statistics Section, Section Business and Economics Statistics on Statistical Graphics Amemiya, IBM Organizer(s): Yasuo Amemiya, IBM Chair(s): Yasuo 177 Business Consulting and Services Modeling—Topic Contributed 3:25 p.m. 3:45 p.m. Floor Discussion 3:05 p.m. Statistical and Related Issues Discussion of Global Drug 2:45 p.m. Estimation Analysis for Multiple Parameter An 2:25 p.m. from Some Issues in Global Drug Development: 2:05 p.m. a Case Study with Raloxifene in a Japanese Bridging: Biopharmaceutical Section, WNAR Biopharmaceutical Eli Lilly and Company Tanaka, Organizer(s): Yoko Eli Lilly and Company Tanaka, Chair(s): Yoko 176 ✺ Contributed 3:45 p.m. Floor Discussion 3:25 p.m. a New Competitive Entry The Impact of on an ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

180 MCC-102 C 182 MCC-103 E ✺ Quality Management in Statistical Organizations I— Monitoring Data Quality in a Federal Statistical Agency: Topic Contributed NCES—Topic Contributed Section on Quality and Productivity, Section on Survey Section on Government Statistics, Social Statistics Research Methods, Social Statistics Section Section Organizer(s): John M. Bushery, U.S. Census Bureau Organizer(s): Marilyn Seastrom, National Center for Education Chair(s): John M. Bushery, U.S. Census Bureau Statistics 2:05 p.m. Quality Procedures in Statistical Sampling—✦ Wendy Chair(s): Brian A. Harris-Kojetin, Office of Management and Budget Rotz, Ernst & Young LLP; Mary Batcher, Ernst & Young LLP 2:05 p.m. Monitoring Data Quality in a Federal Statistical Agency: 2:25 p.m. Quality and the Product Development Cycle—✦ Eugene NCES—✦ Marilyn Seastrom, National Center for Education Burns, Bureau of Transportation Statistics Statistics 2:45 p.m. Quality Audits at Statistics Sweden—✦ GunLög 2:25 p.m. Monitoring Data Quality at a Federal Agency—✦ Susan Eiderbrant-Nilsson, Statistics Sweden Lapham, Education Statistics Services Institute 3:05 p.m. Disc: Nancy Kirkendall, Energy Information Administration 2:45 p.m. Reports from NCES on the Use of Incentives in Data Collection and the Timeliness of Data Collection and Disc: Cynthia Z. F. Clark, Office for National Statistics 3:25 p.m. Reporting—✦ Pia Peltola, Education Statistics Services 3:45 p.m. Floor Discussion Institute 3:05 p.m. Monitoring Data Quality at a Federal Agency— 181 MCC-205 B ✦ Deven Carlson, American Institutes for Research ✺ ✰ Time Series: a Bayesian Gaze at the Past, Present, 3:25 p.m. Quality Profiles: a Tool To Monitor the Quality of Survey and Future—Topic Contributed Programs—✦ Sameena M. Salvucci, Mathematica Policy Section on Bayesian Statistical Science Research, Inc.; Nancy Clusen, Mathematica Policy Research, Organizer(s): Nalini Ravishanker, University of Connecticut Inc.; Tiffany Waits, Mathematica Policy Research, Inc.; Marilyn Chair(s): Nalini Ravishanker, University of Connecticut Seastrom, National Center for Education Statistics 2:05 p.m. Adaptive Simulation Methods for Time-series 3:45 p.m. Floor Discussion Models—✦ Robert Kohn, University of New South Wales; Paolo Giordani, University of New South Wales 183 MCC-205 D 2:25 p.m. Time-varying Covariances: a Cholesky Decomposition ✺ ✰ Statistical Advances in Human Brain Mapping— Approach—✦ Hedibert F. Lopes, The University of Chicago; Topic Contributed Robert McCulloch, The University of Chicago; Ruey Tsay, The Biometrics Section, WNAR University of Chicago Organizer(s): Martina Pavlicova, Columbia University 2:45 p.m. Bayesian Time Series Analyses of International Chair(s): Martina Pavlicova, Columbia University Conflicts—✦ John Freeman, University of Minnesota 2:05 p.m. Mining Huge-p, Small-n Data and New Image 3:05 p.m. Sequential Parameter Estimation in Stochastic Registration Procedures—✦ Xiaofeng Wang, Case Volatility Models with Jumps—✦ Jonathan Stroud, Western Reserve University; Jiayang Sun, Case Western University of Pennsylvania; Michael Johannes, Columbia Reserve University; Kath Bogie, The Cleveland FES Center University; Nicholas Polson, The University of Chicago 2:25 p.m. Magnitude and Phase Modeling for fMRI Brain 3:25 p.m. KFC: a Kalman Filtering Approach To Monitor Activation—✦ Daniel B. Rowe, Medical College of Wisconsin Massive Contingency Tables—✦ Deepak Agarwal, AT&T 2:45 p.m. Block Kriging in SPECT/PET Brain Images: Defining Labs-Research; Colin Goodall, AT&T Labs-Research; William Blocks—✦ Jeffrey Spence, The University of Texas DuMouchel, Lincoln Technologies Southwestern Medical Center at Dallas; Patrick Carmack, The 3:45 p.m. Floor Discussion University of Texas Southwestern Medical Center at Dallas; Richard Gunst, Southern Methodist University; William R. Schucany, Southern Methodist University; Qihua Lin, Southern Methodist University 3:05 p.m. Making Group Inferences with Functional Magnetic Resonance Imaging Data Using Spatiotemporal Models—✦ Qihua Lin, Southern Methodist University;

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Fan Lu, Lu, Fan ✦ SCHEDULE George C. Tseng, Tseng, George C. ✦ MCC-208 B MCC-103 D MINNEAPOLIS -Hyatt Regency Minneapolis Regency -Hyatt Leann Karl, U.S. Census U.S. Leann Karl, HY ✦ Robin Pennington, U.S. Census Bureau Census U.S. Robin Pennington, ✦ Elizabeth Krejsa, U.S. Census Bureau; Dave Dave Census Bureau; U.S. Elizabeth Krejsa, ✦ -Hilton Minneapolis Minneapolis -Hilton H Lung-An Li, Institute of Statistical Science, Academia Sinica; Sinica; Academia Science, Statistical of Institute Li, Lung-An

Preston J. Waite, U.S. Census Bureau U.S. Waite, Preston J. Associates/SEMCC APB Becker, Patricia Claritas Ken Hodges, Empire State Development Leonard Gaines, University of Michigan Lisa Neidert, GENERAL PROGRAM PROGRAM GENERAL Followup Questionnaire— Followup University of Wisconsin, Madison; Grace Wahba, University of Wahba, Grace Madison; Wisconsin, University of Wisconsin, University of Wright, Stephen Madison; Wisconsin, Madison Wisconsin, of University Sunduz Keles, Madison; University of Pittsburgh ✦ ✦ ✦ ✦ ✦ ✦ Bureau; Ashley Landreth, U.S. Census Bureau Census U.S. Ashley Landreth, Bureau; Sheppard, U.S. Census Bureau U.S. Sheppard, Feng-Chang Lin, University of Wisconsin, Madison; George C. George C. Madison; Wisconsin, of University Lin, Feng-Chang University of Pittsburgh Tseng, Test— Test— Census Reduction Using Kernel Regularization— Topic Contributed Panels 2:00 p.m.–3:50 p.m. p.m.–3:50 2:00 Panels Contributed Topic Regular Contributed Sessions 2:00 p.m.–3:50 p.m. p.m.–3:50 2:00 Sessions Contributed Regular 2:20 p.m. K-means— Weighted and Penalized 2:35 p.m. Clustering— Tight in Size Optimal the Find To Criterion A Designing Products for the American Community Designing Products for the Section on Government Social Statistics Statistics, Methods Section, Section on Survey Research APB Associates/SEMCC Organizer(s): Patricia Becker, COPAFS Chair(s): Edward Spar, Panelists: 3:45 p.m. Floor Discussion 187 in Clustering and Heterogeneity—Contributed Topics Biometrics Section, WNAR Chair(s): Ronald Gangnon, University of Wisconsin, Madison 2:05 p.m. Analysis and Dimension Kernel Principal Component 2:45 p.m. Census in the 2004 Results of Coverage Followup 3:05 p.m. Census 2004 Coverage Design of the Research 3:25 p.m. in the 2004 and Housing Units Unduplication of Persons 3:45 p.m. Floor Discussion 186 Survey—Topic Contributed Survey—Topic

-Minneapolis Convention Center Center Convention -Minneapolis

Li Qin, Li Qin,

✦ MCC Abha Sharma, Abha Sharma, ✦ MCC-103 B

MCC-209 AB Frank Vitrano, U.S. Census U.S. Vitrano, Frank ✦ Samir Lababidi, U.S. Food Food U.S. Samir Lababidi, Presenter Presenter ✦ ✦ Kyra Linse, U.S. Census Bureau; Census Bureau; U.S. Kyra Linse, ✦ Patrick Meyers, Abbott Laboratories; Suha Sari, Suha Sari, Abbott Laboratories; Meyers, Patrick ✦ Applied Session Session Applied ✺ Shiaohong Ran, Abbott Laboratories Shiaohong Ran, Disc: Arthur Devault, Roche Molecular Systems Arthur Devault, Disc: Dave Sheppard, U.S. Census Bureau U.S. Dave Sheppard, and Drug Administration; Daya G. Ranamukhaarachchi, U.S. U.S. Ranamukhaarachchi, Daya G. Administration; and Drug Administration and Drug Food Lisa Knight, U.S. Census Bureau; Census Bureau; U.S. Lisa Knight, Research Followup— Bureau ✦ Method— Abbott Laboratories Roche Patrick Carmack, The University of Texas Southwestern Medical Medical Southwestern Texas of University The Carmack, Patrick University; Methodist Southern Gunst, Richard Dallas; at Center Jeffrey University; Methodist Southern Schucany, R. William Center Medical Southwestern Texas of University The Spence, Dallas at Guo, Wensheng Cancer Research Center; Hutchinson Fred Pennsylvania University of Brian Litt, University of Pennsylvania; Venous Thrombosis by a 25 Plex PCR Assay— Thrombosis by a 25 Plex PCR Venous Jeff Behler, U.S. Census Bureau; Census Bureau; U.S. Jeff Behler, National Census Test— National Census Scattering Nanoparticles—

Coverage Improvement Research for the Decennial Themed Session Session Themed Census—Topic Contributed Census—Topic 2:25 p.m. Assessment of the 2004 Coverage Operational 2:05 p.m. Within Household Coverage Improvement in the 2004 Section Organizer(s): Danny R. Childers, U.S. Census Bureau Chair(s): Dave Sheppard, U.S. Census Bureau ✺ Methods, Social Statistics Section on Survey Research 3:45 p.m. Floor Discussion 185 3:25 p.m. 3:05 p.m. Light Microarray Gene Expression Using Resonance 2:45 p.m. Assessment for Statistical in Genetic Risk Methods 2:25 p.m. Assay Methods Comparison— Multiple Cohen, U.S. Food and Drug Administration and Drug Administration Chair(s): Estelle Russek-Cohen, U.S. Food 2:05 p.m. and Evaluation Theory, Deﬁnition, Functional Sensitivity: Section on Statistics in Epidemiology, in Epidemiology, Section on Statistics Section, WNAR Biopharmaceutical Estelle Russek- Organizer(s): Michael Lu, Edwards Lifesciences; 184 Assays in Diagnostic Analyses and Multiple Multiple Contributed Medicine—Topic 3:45 a.m. Floor Discussion 3:25 p.m. Linear Models— Functional Time-frequency ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

2:50 p.m. Variance Estimation for GEE Estimator—✦ Shenghai 2:20 p.m. Using Weighted Permutation Scores To Detect Zhang, Centre for Infectious Disease Prevention and Control Differential Gene Expression with Microarray Data— 3:05 p.m. Stratification on Baseline Measure: the Variance ✦ Xu Guo, Affymetrix, Inc.; Wei Pan, University of Minnesota Effect—✦ Misook Park, Virginia Commonwealth University; 2:35 p.m. A New Efficient Statistical Method for Detecting Robert E. Johnson, Virginia Commonwealth University Differentially Expressed Genes—✦ Sunil Mathur, The 3:20 p.m. A Cost-effective Design for Longitudinal or Cluster University of Mississippi Studies—✦ Yajun Mei, Fred Hutchinson Cancer Research 2:50 p.m. Power and Type I Error in a Global Test of Differential Center; Sarah Holte, Fred Hutchinson Cancer Research Genetic Expression—✦ Gary Gadbury, University of Center Missouri, Rolla; Wanrong Yin, University of Missouri, Rolla; 3:35 p.m. Comparing Confidence Interval Methods Based on the V. A. Samaranayake, University of Missouri, Rolla Horvitz-Thompson Estimator under Adaptive Cluster 3:05 p.m. Use of Hadamard Matrices in Identifying Differentially Sampling—✦ Timothy Perez, Monsanto; Jeffrey S. Pontius, Expressed Genes—✦ Yu Ding, Temple University; Kansas State University Damaraju Raghavarao, Temple University 3:20 p.m. Sample Size Calculation for Multiple Testing in 188 MCC-208 A Microarray Data Analysis—✦ Heejung Bang, Cornell Detecting Differential Gene Expression—Contributed University; Sin-Ho Jung, Duke University; S. Stanley Young, Biometrics Section, WNAR National Institute of Statistical Sciences Chair(s): Charalampos Papachristou, The Ohio State University 3:35 p.m. Probabilities of Spurious Connections in Gene Networks: 2:05 p.m. Statistically Designing Microarray Experiments and Application to Expression Time Series—✦ David Bickel, Analyzing Gene Expression Data—✦ Jane Chang, Pioneer Hi-Bred International Bowling Green State University; Jason Hsu, The Ohio State University; Tao Wang, The Ohio State University

by invitation only Monday, August 8, 6:30 p.m. to 7:30 p.m.

If you joined the ASA 35 or more years ago, the American Statistical Association would like to thank you for your longtime support. Please join us for a reception in your honor. Sponsored by the ASA Membership Committee.

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Brisa

✦ Ben B. Ben B. ✦ SCHEDULE MCC-200 J MINNEAPOLIS Martha Lee, Martha Lee, ✦ -Hyatt Regency Minneapolis Regency -Hyatt Lian Liu, Texas A&M Texas Lian Liu, ✦ HY Stephen S. Lee, University of Lee, Stephen S. ✦ Hyonggin An, The University of Iowa; The University of Iowa; An, Hyonggin ✦ Rahul Parsa, Drake University; Alain Desgagne, Alain Desgagne, Drake University; Rahul Parsa, Sibabrata Banerjee, New Jersey Institute of Sibabrata Banerjee, ✦ ✦ -Hilton Minneapolis Minneapolis -Hilton H Ye Zhong, University of Pennsylvania; Michael R. El Michael R. University of Pennsylvania; Zhong, Ye Jay Mandrekar, Mayo Clinic; Thomas J. Beckman, Mayo Beckman, Thomas J. Mayo Clinic; Jay Mandrekar, William R. University of Pittsburgh; Wallstrom, Garrick L. GENERAL PROGRAM PROGRAM GENERAL N. Sanchez, Harvard School of Public Health; Louise Ryan, Ryan, Louise Harvard School of Public Health; Sanchez, N. Harvard University Hansen, University of Michigan Hansen, Ratio— Georgetown University; Juwon Song, The University of Texas Texas The University of Juwon Song, Georgetown University; liott, University of Pennsylvania; John Kolassa, Rutgers, The Rutgers, John Kolassa, University of Pennsylvania; liott, University of Daniel Heitjan, State University of New Jersey; Pennsylvania Idaho; Zhaofei Fan, University of Missouri, Columbia; Stephen Columbia; University of Missouri, Zhaofei Fan, Idaho; Service USDA Forest Shifley, effectiveness Analysis of ART— Analysis of effectiveness ✦ ✦ Clinic Health Science Center at Houston ✦ of Pittsburgh Copula— Drake University University Hogan, University of Pittsburgh; Michael M. Wagner, University Wagner, Michael M. University of Pittsburgh; Hogan, Application of Generalized Additive Models— Application of Generalized Roderick J. Little, University of Michigan Little, Roderick J. Technology; Wonsuk Yoo, New Jersey Institute of Technology New Jersey Institute of Yoo, Wonsuk Technology; Missing Data— Using Sufficiency Scores— Using Sufficiency and Structural Equations Models— Variable Density— Tree Cavity Statistical Applications—Contributed Statistical 3:20 p.m. Attendance at the 2005 JSM— Predicting Session 3:35 p.m. Floor Discussion 191 ✺ General Methodology of New Jersey Chair(s): Minge Xie, Rutgers, The State University 2:05 p.m. Effect of Spatial Scale on Modeling and Predicting Mean 2:20 p.m. Teaching— Statistical for Evaluating Methods Clinical 2:35 p.m. Viral Load Measures in the Cost- The Role of 2:50 p.m. A Comparison Study of Models for the Human Sex 3:05 p.m. an Estimating the Effect of a Disease Outbreak: 2:35 p.m. of General Pattern Analysis Robust Model-based 2:50 p.m. Using MultivariateNormal Values Estimation of Missing 3:05 p.m. Error Linear Logistic Model with Measurement Partial 3:20 p.m. Model Misspecification in Latent and Goodness-of-fit 3:35 p.m. Full Matching with Propensity Scores—

-Minneapolis Convention Center Center Convention -Minneapolis

MCC Shibao Feng, Shibao Feng, MCC-200 I ✦ MCC-208 D MCC-208 Xiuyu Cong, Rice Xiuyu Cong, Presenter Presenter ✦ ✦ Dipankar Bandyopadhyay, University of Dipankar Bandyopadhyay, Guangyu Zhang, University of Michigan; University of Michigan; Guangyu Zhang, ✦ ✦ Sergey S. Tarima, University of Kentucky; Richard University of Kentucky; Tarima, Sergey S. Michele L. Shaffer, Pennsylvania State College of Pennsylvania Shaffer, Michele L. Applied Session Session Applied ✦ ✦ ✺ Daniela Nitcheva, South Carolina Cancer Center; Walter Walter South Carolina Cancer Center; Daniela Nitcheva, Xiaodong Luo, Columbia University; Wei-Yann Tsai, Tsai, Wei-Yann Columbia University; Xiaodong Luo, Douglas E. Schaubel, University of Michigan Schaubel, Douglas E. Medicine; Kristi L. Watterberg, The University of New Mexico Watterberg, Kristi L. Medicine; Georgetown University Medical Center; Robert A. Wolfe, Wolfe, A. Robert Center; Georgetown University Medical Kryscio, University of Kentucky; Yuriy Dmitriev, Tomsk State Tomsk Dmitriev, Yuriy University of Kentucky; Kryscio, Proportional Hazard Frailty Model— Proportional Hazard Frailty D. M. Texas The University of Yin, Guosheng University; Roderick J. Little, University of Michigan Little, Roderick J. Georgia; Somnath Datta, University of Georgia Somnath Datta, Georgia; University Method— Risk— Columbia University; Louise Kuhn, Columbia University Louise Kuhn, Columbia University; ✦ ✦ Censored— ✦ University of Michigan Anderson Cancer Center; Yu Shen, The University of Texas Texas The University of Shen, Yu Anderson Cancer Center; W. Piegorsch, University of South Carolina; Webster West, West, Webster University of South Carolina; Piegorsch, W. National Center for Ralph Kodell, University of South Carolina; Research Toxicological Distributions When the Group Memberships Are When the Group Memberships Distributions M. D. Anderson Cancer Center Anderson D. M. Cluster Size Is Informative— Data— Benchmark Analysis with Quantal Response Data— Benchmark Model with One Arm Subject to Interval Censoring— Model with One Survival Analysis and Risk Assessment—Contributed Risk and Analysis Survival ✰ Coarsened, Mismeasured, or Missing Data—Contributed Missing or Mismeasured, Coarsened,

Themed Session Session Themed Section on Survey Research Methods, ENAR, Section Section on Survey Research Section on Statistical on Statistics in Epidemiology, 2:20 p.m. Spline Propensity Prediction Extension of Penalized 2:05 p.m. Estimation in the Presence of Coarsened Parameter Education, Biometrics Section Chair(s): Dawei Xie, University of Pennsylvania ✺ Social Statistics Section, General Methodology, 190 3:35 p.m. and Confidence Regions for Jointly Measuring Benefit 3:20 p.m. Assessment: Multiplicity-adjusted Inferences in Risk 3:05 p.m. Survival Equality of Testing Approach to A Novel 2:35 p.m. Analysis— Estimation Effects in Survival of Center 2:50 p.m. A Self-consistent Estimator in the Competing Risk 2:20 p.m. When Analysis of Clustered Survival Data Marginal 2:05 p.m. Random Coefficients in a Testing Estimating and ✺ WNAR Section, Biopharmaceutical Section, Biometrics Davis University of California, Tsodikov, Chair(s): Alex 189 ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

192 MCC-211 A 3:20 p.m. Discrimination and Clustering Based on Nonparametric ✺ Issues in Clinical Trials—Contributed Hypothesis Testing—✦ George von Borries, Kansas State WNAR, Biopharmaceutical Section University; Haiyan Wang, Kansas State University Chair(s): Jing Zhao, Merck & Co., Inc. 3:35 p.m. Floor Discussion 2:05 p.m. The Construction of Composite Scores in Analgesia Studies—✦ David Bristol, Purdue Pharma LP; Genming Shi, 194 MCC-102 F Schering-Plough ✺ Multilevel Modeling—Contributed 2:20 p.m. Analysis of Repeated Measures Analgesic Studies— Section on Health Policy Statistics, Section on Bayesian Statistical Science, Social Statistics Section, ✦ Guoyong Jiang, Cephalon, Inc.; Lilliam Kingsbury, WNAR Cephalon, Inc. Chair(s): James O’Malley, Harvard Medical School 2:35 p.m. Propensity Score Comparison of Antibiotic Therapy from Inpatient Data—✦ Michael A. O’Connell, Waratah Corp. 2:05 p.m. A Hierarchical Model for Multiple Binary Process Measures—✦ Robert B. Gerzoff, U.S. Centers for Disease 2:50 p.m. Simulation Comparison of SAS Proc Multitest Control and Prevention; Theodore J. Thompson, U.S. Centers Permutation Adjustment Option for the Analysis of for Disease Control and Prevention Multiple Measurements in the Two-period Crossover Design—✦ Mark Burgert, GlaxoSmithKline 2:20 p.m. A Bayesian Logistic-mixture of Normal Distributions Hierarchical Model for Hospital Mortality—✦ Peter 3:05 p.m. Robust Estimate of Confidence Interval of Treatment Austin, Institute for Clinical Evaluative Sciences Effect—✦ Kao-Tai Tsai, Aventis Pharmaceuticals 2:35 p.m. GEE Diagnostics for Marginal Association Models— 3:20 p.m. Bootstrap Confidence Intervals for Probability of Better ✦ John S. Preisser, The University of North Carolina at Outcome—✦ Haitao Gao, Eli Lilly and Company Chapel Hill 3:35 p.m. Issues in Mega Clinical Trials—✦ Lu Cui, Aventis 2:50 p.m. Repeated Events Survival Models: the Conditional Frailty Pharmaceuticals Model—✦ Janet Box-Steffensmeier, The Ohio State University; Suzanna DeBoef, The Pennsylvania State University 193 MCC-208 C 3:05 p.m. Modeling Onset and Recovery of Posttraumatic Stress Classification and Genomics—Contributed Disorder for Longitudinal Data with Dropouts— Section on Nonparametric Statistics, ENAR, WNAR, ✦ Haekyung Jeon-Slaughter, University of Oklahoma Health Biometrics Section Sciences Center; Carol S. North, Washington University School Chair(s): Hui Xie, Boston University of Medicine; Betty Pfefferbaum, University of Oklahoma Health 2:05 p.m. Adaptive Control and Significance Threshold: Extension Sciences Center of False Discovery Rate Control—✦ Cheng Cheng, St. 3:20 p.m. Different from the Start: Profiling Minnesota Jude Children’s Research Hospital; Stanley Pounds, St. Jude Kindergarten Students in Six Kindergarten Program Children’s Research Hospital Types—✦ Theresa J. Gromala, University of Minnesota 2:20 p.m. Choice of Neighbor Order in Nearest-neighbor 3:35 p.m. Floor Discussion Classification and a Comparison with Bagged Nearest- neighbor Methods—✦ Richard Samworth, Centre for Mathematical Sciences 195 MCC-200 H Inference, Applied Probability, and Stochastic Models— 2:35 p.m. Multicategory Psi-learning—✦ Yufeng Liu, The University Contributed of North Carolina at Chapel Hill IMS, Section on Statistical Education 2:50 p.m. Determining the Copy Number States from Array CGH Chair(s): Michael Fugate, Los Alamos National Laboratory Data—✦ E. Venkatraman, Memorial Sloan-Kettering Cancer 2:05 p.m. A Comparison of Automated Investment Strategies— Center; Adam Olshen, Memorial Sloan-Kettering Cancer Center ✦ Alexander White, American University; Fotios Kokkotos, 3:05 p.m. Stochastic Linear Hypotheses for Nonparametric American University Inference of High-dimensional Data—✦ Jeanne Kowalski, 2:20 p.m. The Lifetime of a Random Set—✦ Peter Kiessler, Clemson Johns Hopkins University University 2:35 p.m. Method of Gambling Teams and Waiting Times for Patterns—✦ Vladimir Pozdnyakov, University of Connecticut; Joseph Glaz, University of Connecticut; Martin Kulldorff,

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SCHEDULE Mulugeta MCC-103 A MCC-103

MINNEAPOLIS ✦ MCC-210 AB Judith Tanur, SUNY, Stony SUNY, Tanur, Judith ✦ -Hyatt Regency Minneapolis Regency -Hyatt Kevin Wang, RTI International; International; RTI Wang, Kevin ✦ HY Hoang T. Nguyen, The University Nguyen, T. Hoang Kathleen Ott, National Agricultural National Kathleen Ott, ✦ ✦ Robert Colosi, U.S. Census Bureau U.S. Robert Colosi, ✦ -Hilton Minneapolis Minneapolis -Hilton H Mirta Galesic, Joint Program in Survey Methodology; Joint Program in Survey Methodology; Mirta Galesic, A. Richard Washington; University of Robyn McClelland, GENERAL PROGRAM PROGRAM GENERAL Langholz, University of Southern California Langholz, Rodney Baxter, RTI International; Dicy Painter, Substance Abuse Abuse Substance Painter, Dicy International; RTI Baxter, Rodney Administration Services Health Mental and Gebregziabher, University of Southern California; Bryan University of Southern California; Gebregziabher, ✦ Social Research Confusion— Floor Discussion ✦ Use and Health (NSDUH)— Brook Roger Tourangeau, Joint Program in Survey Methodology; Program in Survey Joint Methodology; Tourangeau, Roger Institute for Conrad, Fred University of Michigan; Mick Couper, Washington University of Kronmal, of Texas Medical Branch Texas of Statistics Service; Chadd Crouse, National Agricultural Statistics National Chadd Crouse, Statistics Service; Service Yan, University of Maryland University of Yan, matched Case-control Studies— Epidemiologic Survey— S. James Press, James Press, Approach to Sample Surveys—S. (RGI) Riverside; University of California, on Data Quality— Terms Deﬁnitions to Everyday Collect Better Data?— Approach— an Imputation Lipid-lowering Medications: Questionnaires and Cognitive Issues I—Contributed and Cognitive Questionnaires 2:20 p.m. Analysis of Missing Covariate Data in Individually- 2:35 p.m. Handling Missing Data in Complex Weight: Impute or To 2:50 p.m. Cause Respondent Questions Worded Negatively 3:05 p.m. a Study on the Effects of Providing When More Is Less: 3:20 p.m. They Do Using Professionally Designed Questionnaires: 3:35 p.m. 198 and Measurement Error Imputation, Missing Data, Adjustment—Contributed ENAR, WNAR, Section on Statistics in Epidemiology, Biometrics Section Emory University Chair(s): Robert Lyles, 2:05 p.m. Associations of LDL Cholesterol in the Presence of 197 ✺ Social Statistics Methods, on Survey Research Section Section Energy Information Administration Chair(s): Kara Norman, 2:05 p.m. the National Modeling Context Effects in Survey on Drug 2:20 p.m. An Overview Respondent-generated of the Intervals 2:35 p.m. Scales— Visual Midpoints of Response Conceptual vs.

-Minneapolis Convention Center Center Convention -Minneapolis

Jan Hannig, Hannig, Jan

✦ MCC Jesse Frey, The Jesse Frey, Katherine Walker, Walker, Katherine ✦ ✦ MCC-103 F Lori Thombs, University of Thombs, Lori Presenter Presenter ✦ ✦ Zachariah Dietz, Tulane University; University; Tulane Zachariah Dietz, ✦ James J. Cochran, Louisiana Tech University; University; Tech Louisiana Cochran, James J. Arka Ghosh, The The University of North Carolina The University of North Carolina The Arka Ghosh, ✦ ✦ Applied Session Session Applied ✺ Li Zhu, Texas A&M University; Dennis Gorman, Texas A&M Texas Dennis Gorman, A&M University; Texas Li Zhu, Consortium on Chicago School Stephen Ponisciak, Dmitri Kuznetsov, Media Planning Group; Igor Mandel, Igor Mandel, Media Planning Group; Dmitri Kuznetsov, Colorado State University State Colorado Jeffrey D. Camm, Dartmouth University; David J. Curry, Curry, David J. Dartmouth University; Camm, Jeffrey D. U.S. Census Bureau U.S. University of Cincinnati; Jon Pinnell, MarketVision Research; MarketVision Research; Jon Pinnell, University of Cincinnati; LLC Transfreight Rajesh Radhakrishnan, ✦ ✦ Columbia ✦ Media Planning Group Problem— at Chapel Hill Ohio State University Harvard Medical School/Harvard Pilgrim Hospital; Michael Harvard Medical School/Harvard Hospital; Pilgrim of Pennsylvania University Steele, Markov Chains— University; Scott Horel, Texas A&M University Texas Scott Horel, University; Stephen University; Stanford Bryk, Anthony S. Research; University of Michigan Raudenbush, Sunder Sethuraman, Iowa State University Iowa State Sunder Sethuraman, Trafﬁc— Missouri, Columbia; Charles Sampson, University of Missouri, University of Missouri, Charles Sampson, Columbia; Missouri, Abuse among Hospital Emergency Room Admissions— Room Abuse among Hospital Emergency Mother’s Use of Income Packaging: Paid Work, Program Work, Paid Use of Income Packaging: Mother’s and Network Support— Participation, Mayoral Expenditure Data— Design: a Special Case of the Share-of-choices Design: Order Statistics and Nonparametrics— Statistics in the Public Arena: Politics, the Media, and the Media, Politics, Arena: Statistics in the Public Themed Session Session Themed 3:35 p.m. Discussion Floor 3:20 p.m. Models— Linear Hierarchical via Accountability School 3:05 p.m. Series on Marijuana Time Hierarchical Models for a 2:50 p.m. Reform on Low-income Single Welfare The Effect of 2:35 p.m. Using Policy Modeling Change in Municipal Fiscal 2:20 p.m. Processes— Media of Physics Statistical Mediaphysics: 2:05 p.m. Platform Optimal Political Won? Could Kerry Have Public Policy—Contributed Social Statistics Section of Energy Chair(s): Robert H. Rutchik, U.S. Department 196 ✺ 3:35 p.m. Networks in Heavy Optimal Controls for Stochastic 3:20 p.m. Intervals— Conﬁdence Generalized Fiducial 3:05 p.m. Applications in Algorithms with Computational Two 2:50 p.m. a Class of Nonstationary for Times Occupation ✰ GENERAL PROGRAM SCHEDULE ✰ Themed Session ✺ Applied Session ✦ Presenter MCC-Minneapolis Convention Center H-Hilton Minneapolis HY-Hyatt Regency Minneapolis

2:50 p.m. Utilizing Race Data in an Active Public Health Contributed Posters 2:00 p.m.–3:50 p.m. Surveillance System—✦ Elizabeth Zell, U.S. Centers for Disease Control and Prevention 3:05 p.m. Regression with Error in Both Variables: Adjustment via 200 MCC-Level Two Lobby B Nonlinear Transformation of Replicates—✦ Peter Holck, Contributed Poster Session 3—Contributed University of Hawaii; John Grove, University of Hawaii, Manoa Business and Economics Statistics Section, Biometrics Section, Biopharmaceutical Section, 3:20 p.m. Modeling Association between Menstrual Length ENAR, Section on Statistics in Epidemiology, Section Characteristics and Reproductive Outcomes— on Statistics and the Environment, General ✦ Amita K. Manatunga, Emory University; Robert Lyles, Emory Methodology University; Ying Guo, Emory University; Chanley Small, Emory Organizer(s): Ying Kuen Cheung, Columbia University University; Michele Marcus, Emory University Chair(s): Ying Kuen Cheung, Columbia University 3:35 p.m. Measurement Error Correction for Nutritional Exposures Biometrics, Biostatistics, Epidemiology with Correlated Measurement Error: Use of the Method 01 Group Testing Model Estimation and Inference— of Triads in a Longitudinal Setting—✦ Bernard Rosner, ✦ Christopher R. Bilder, University of Nebraska Harvard Medical School 02 Latent Class Models for Medical Studies with Replicate 199 MCC-211 C Observations: Alternative Latent Structures for Observer Agreement and Diagnostic Accuracy—✦ Andrew Baughman, Multivariate Methods—Contributed U.S. Centers for Disease Control and Prevention; Michael Haber, Emory Section on Statistical Computing University; Huiman X. Barnhart, Duke University Chair(s): Jing Wang, Louisiana State University 03 Modeling Reporting Delays and Corrections in Cancer Registry 2:05 p.m. Finding Effective Points by Basis Representation Data—✦ Limin Clegg, National Cancer Institute; Eric Feuer, National Methodology—✦ Ray-Bing Chen, National University of Cancer Institute; Douglas Midthune, National Cancer Institute; Michael Kaohsiung; Weichung Wang, National University of Kaohsiung; Fay, National Institutes of Health; Benjamin Hankey, National Cancer Fuhung Tsai, National University of Kaohsiung Institute; Brenda Edwards, National Cancer Institute 2:20 p.m. A Fast Kernel Density Estimation Algorithm for 04 Does It Fit? Comparing Different Measures of Model Adequacy Independent Component Analysis—✦ Aiyou Chen, in Logistic Regression—✦ Leann Myers, Tulane University; Hui-yi Bell Labs, Lucent Technologies; Peter J. Bickel, University of Lin, Louisiana State University California, Berkeley 05 Two-part Models for Longitudinal Data: Comparing GEE and 2:35 p.m. Extreme Multidimensional Scaling—✦ Michael W. Random-effects Approaches—Leann Myers, Tulane University; Trosset, College of William & Mary; Patrick J. F. Groenen, ✦ Yeonjoo Yi, Tulane University Erasmus University Rotterdam 06 Nonparametric Tests for a Common Risk Factor—✦ Fanesca 2:50 p.m. Image Reconstruction: an Information-theoretic Young, Columbia University Approach—✦ Amos Golan, American University; The Summary Density: a Graphical Tool for Metaanalytic Avinash Bhati, The Urban Institute; Bahattin Buyuksahin, 07 Diagnostics—✦ David Svendsgaard, National Center & Caucus on World Bank Black Aged, Inc. 3:05 p.m. Componentwise Iterative Optimization for Large 08 The Distribution of the Product of Correlated P-values and Data—✦ Yachen Lin, Certegy Its Application to Sequence Homology Searches—✦ Yan Xie, 3:20 p.m. New Approaches for Finding the Minimum Volume University of Kentucky; Richard Kryscio, University of Kentucky Ellipsoid—✦ J. Brian Gray, The University of Alabama; Eric B. Business, Financial, and Marketing Statistics Howington, Coastal Carolina University 09 Outliers and Time Series Data Mining—Lon-Mu Liu, University of 3:35 p.m. Enhanced Probability Plots for Testing for Multivariate Illinois, Chicago; ✦ William J. Lattyak, Scientiﬁc Computing Associates Normality—✦ Jeff Szychowski, The University of Alabama; Corp.; John L. Harris, Progress Energy, Inc. Michael Conerly, The University of Alabama; Bruce Barrett, Clinical Trials, Drug Discovery The University of Alabama 10 A Randomization Design Software for Clinical Trial— ✦ Chunshen Pan, Biovail Contract Research; Juan He, Biovail Contract Research; Corinne Campanella, Biovail Contract Research; Tat Chan, Biovail Corporation

108 ★ JSM 2005 Monday 109

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SCHEDULE MINNEAPOLIS MCC-200 ABC MCC-200 -Hyatt Regency Minneapolis Regency -Hyatt Louis H. Y. Chen, National National Chen, Y. Louis H. HY ✦ MIXER Hilton-Conrad A Room 6:00 p.m.–7:00 p.m. -Hilton Minneapolis Minneapolis -Hilton tis Pharmaceuticals, IBM T. J. Watson J. Watson Novartis Pharmaceuticals, IBM T. H

GENERAL PROGRAM PROGRAM GENERAL University of Singapore Monday, August 8 Monday, Invited Sessions 8:00 p.m.–9:15 p.m. p.m.–9:15 8:00 Sessions Invited nsored by: American Statistical Association's American Statistical Spo Committee STUDENT Research Center, and The ASA Membership and Recruitment Research Center, 202 Awards—Invited and Address IMS Presidential IMS of California, Berkeley Speed, University P. Organizer(s): Terence Berkeley Speed, University of California, P. Chair(s): Terence 8:05 p.m. Paradigm— The Poisson 9:00 p.m. Floor Discussion -Minneapolis Convention Center Center Convention -Minneapolis Tie-Hua Tie-Hua Kobi

✦ MCC ✦

Roderick J. Little, Little, Roderick J.

WN WN WN WN Mark Payton, Oklahoma Oklahoma Payton, Mark WN

✦ Dar Shong Hwang, Dar Shong Hwang, ✦ ✦ Presenter Presenter ✦ MCC-Ballroom A MCC-Ballroom Mikyoung Jun, The University of The University of Mikyoung Jun, Mikyoung Jun, Mikyoung Jun, The University of Mikyoung Jun, ✦✦✦ Keith Williams, University of Arkansas for University of Williams, Keith ✦ Thomas Evans, Bureau of Labor Statistics Thomas Evans, Applied Session Session Applied ✦ ✺ Farid Kianifard, Novartis Pharmaceuticals; Michael Chen, Chen, Michael Novartis Pharmaceuticals; Kianifard, Farid

✦

University of Michigan

WITHDRAWN WITHDRA WITHDRA WITHDRA WITHDRAWN WITHDRA WITHDRA Invited Sessions 4:00 p.m.–5:50 p.m. p.m.–5:50 4:00 Sessions Invited Zhengrong Li, Virginia Polytechnic Institute and State University; University; Institute and State Virginia Polytechnic Zhengrong Li, A&M Texas Kiffe, Thomas R. A&M University; Texas James Matis, State University; Scott J. Richter, University of North Carolina, Greensboro Carolina, North of University Richter, J. Scott University; State Novartis Pharmaceuticals; Sunil K. Dhar, New Jersey Institute of New Dhar, K. Sunil Novartis Pharmaceuticals; Technology Chicago; Michael Stein, The University of Chicago Michael Stein, Chicago; B.R.S.I.; James S. Lee, Sankyo Pharma Development Lee, S. James B.R.S.I.; Administration and Drug Food U.S. Ng, Abayomi, Columbia University Abayomi, Column Ozone Levels—Column Ozone Levels—Column Ozone Levels— The University of ChicagoThe University of Chicago Michael Stein, Michael Stein, Chicago; Chicago; Diagnostics— Factorial and Split-plot Experiments— Factorial birth weight Infants— Medical Sciences; C. Heath Gauss, University of Arkansas for Medical University of Heath Gauss, C. Medical Sciences; Arkansas for Medical Sciences University of Jeff Kaiser, Sciences; ✦ ✦ Inference for Parallel Group Design— Inference for Parallel Trials— Eric P. Smith, Virginia Polytechnic Institute and State University Institute and Virginia Polytechnic Smith, Eric P. New Mexico State University Matis, I. Tim University; Total Total ApplicationApplication to to Their Their on Spheres and on Spheres and Space-time Models Space-time Models Themed Session Session Themed Neuroscience, Brain Imaging Neuroscience, Environmetrics, Ecology, Agriculture, Wildlife Wildlife Agriculture, Ecology, Environmetrics, 5:40 p.m. Floor Discussion 4:05 p.m. Roadmap— A Bayes/Frequentist The ASA, ENAR, IMS, SSC, WNAR, Biometrics Section Organizer(s): Fritz J. Scheuren, The University of Chicago Chair(s): Fritz J. Scheuren, The University of Chicago 201 Address—Invited Invited President’s 20 Total Application to Their on Spheres and Space-time Models Modeling 19 Adjustment Analyzing Seasonal for Quickly Compact Output Spatial Statistics, Time Series, Spatio-temporal Spatial Statistics, Time Series, Spatio-temporal 18 Very-low- Autoregulation in Analysis of Cerebral Bedside 17 of Interaction in Tests of Count Data for Transformations On 16 in Environmental Indexing— Expedient Methods 15 AphidGrowth— Population Modeling of Nonlinear Stochastic Management 14 Quality— Water for Evaluation of Tests Model-based 13 Noninferiority Hypothesis with Binary Endpoints— 12 for Repeated Exact Measurements of Binary Data: BANOVA 11 in Clinical Noninferiority Methods for Establishing Improved ✰