ASA JSM Program Book 06.Indd
GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
7:30 a.m.–9:30 a.m. S-Douglas Room WEDNESDAY, AUGUST 9 Wednesday Sequential Analysis Journal Editorial Board’s Breakfast Meeting (closed) Tours Organizer(s): Nitis Mukhopadhyay, University of Connecticut 7:30 a.m.–9:30 a.m. S-Spruce Room 2:00 p.m.–5:00 p.m. CC-Convention Place ASA Engagement with Other Organizations Task TR08 - Seattle City Highlights Tour (fee event) Force (closed) 3:00 p.m.–6:00 p.m. CC-Convention Place Chair(s): Darryl Downing, GlaxoSmithKline TR09 - Lifestyles and Lakes Cruise (fee event) 7:30 a.m.–4:30 p.m. CC-Level 4 South Lobby JSM Main Registration ASA Membership/Special Assistance Desk Committee/Business Meetings & Other Activities 8:00 a.m.–9:00 a.m. CC-302 Noether Award Committee Business Meeting 7:00 a.m.–8:30 a.m. CC-301 (closed) Committee on Career Development Meeting (closed) Chair(s): Regina Liu, Rutgers University Chair(s): Janice Lent, Research and Innovative Technology Administration 8:00 a.m.–2:00 p.m. CC-Exhibit Hall 4A Exhibitor Lounge 7:00 a.m.–8:30 a.m. S-Everett ASA/AMATYC Joint Committee Meeting 8:00 a.m.–6:00 p.m. CC-Exhibit Hall 4B Chair(s): Robert Del Mas, University of Minnesota Career Placement Service
7:00 a.m.–8:30 a.m. S-Aspen Room 8:00 a.m.–6:00 p.m. CC-209 Journal of Computational and Graphical Statistics Amgen Inc. Interview Room (by invitation only) Editorial Board Meeting (closed) Organizer(s): Chander Varma, Amgen Inc. Chair(s): Luke Tierney, University of Iowa 9:00 a.m.–11:00 a.m. CC-301 7:00 a.m.–8:30 a.m. CC-306 Committee on Outreach Education (closed) Friends and Alumni of Brigham Young University Chair(s): Wendy Martinez, Offi ce of Naval Research Open House/Breakfast Organizer(s): Del Scott, Brigham Young University 9:00 a.m.–11:00 a.m. S-Aspen Room Focus Group To Explore the Introductory Statistics 7:00 a.m.–8:30 a.m. H-Chatham Course (by invitation only) Committee of Representatives to AAAS Business Organizer(s): Angela Battle, John Wiley & Sons Meeting Organizer(s): Michael P. Cohen, Bureau of Transportation Statistics 9:00 a.m.–11:00 a.m. S-Juniper Council of Sections Publication and Newsletter 7:00 a.m.–6:00 p.m. CC-507, CC-508 Editors Meeting Speaker Work Rooms Chair(s): E. Jacquelin Dietz, Meredith College
7:00 a.m.–10:00 p.m. CC-Level 4 South Lobby 9:00 a.m.–2:00 p.m. CC-Exhibit Hall 4A Cyber Center EXPO 2006 ASA Communities Booth #101 7:30 a.m.–9:30 a.m. S-Cedar Room Statistics in Biopharmaceutical Research Advisory Committee (closed) Chair(s): Karen Kafadar, University of Colorado
Seattle 177 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
9:00 a.m.–5:00 p.m. CC-Level 4 South Lobby 6:00 p.m.–7:30 p.m. S-Governors Suite ASA Marketplace JSM 2006 Program Committee/ACCE/COM Reception (by invitation only) 9:00 a.m.–5:00 p.m. CC-Level 1 Chair(s): William Smith, American Statistical Association Citywide Concierge Center
11:30 a.m.–2:00 p.m. CC-302 Committee on Meetings (closed) Continuing Education (Fee Events) Chair(s): Xiao-Li Meng, Harvard University CE_31T CC-305 12:00 p.m.–1:30 p.m. S-Cedar Room 8:30 a.m.–10:15 a.m. Noether Award Committee Luncheon (closed) Time Series in SPSS: Automatic Model Selection and Chair(s): Regina Liu, Rutgers University Outlier Detection The ASA 12:00 p.m.–2:00 p.m. S-Aspen Room Instructor(s): Dongping Fang, SPSS Inc. Focus Group to Explore the Introductory Statistics Course (by invitation only) CE_32T CC-304 Organizer(s): Angela Battle, John Wiley & Sons 8:30 a.m.–10:15 a.m. Meta-analysis: Concepts and Applications 12:00 p.m.–2:30 p.m. H-Chatham The ASA ENAR 2006 Spring Meetings Planning Committee Instructor(s): Michael Borenstein, Biostat, Inc.; Hannah R. Rothstein, Meeting (by invitation only) Biostat, Inc. Organizer(s): Kathy Hoskins, ENAR CE_33T CC-303 12:30 p.m.–1:30 p.m. CC-401 8:30 a.m.–10:15 a.m. Making the Most of Your Degree: Opportunities and Power and Sample Size Analysis Using SAS/STAT Obstacles Software Chair(s): Dayanand Naik, Old Dominion University The ASA Instructor(s): John Castelloe, SAS Institute, Inc. 2:00 p.m.–8:00 p.m. CC-Exhibit Hall 4A Exhibitor Move Out CE_34T CC-305 10:30 a.m.–12:15 p.m. 3:00 p.m.–5:00 p.m. S-Aspen Room Introduction to CART: Data Mining with Decision Trees Focus Group To Explore the Engineering Statistics The ASA Course (by invitation only) Instructor(s): Mikhail Golovnya, Salford Systems Organizer(s): Jennifer Welter, John Wiley & Sons CE_35T CC-304 4:00 p.m.–6:00 p.m. CC-302 10:30 a.m.–12:15 p.m. ICES III Program Committee (closed) Power Analysis: a Simple and Effective Approach Chair(s): Eva Elvers, Statistics Sweden The ASA Instructor(s): Michael Borenstein, Biostat, Inc. 5:30 p.m.–7:00 p.m. CC-606 Section on Statistical Education Business Meeting CE_36T CC-303 Chair(s): Christine Franklin, University of Georgia 10:30 a.m.–12:15 p.m. 5:45 p.m.–6:45 p.m. CC-603 Modern Regression Analysis in SAS Software The ASA International Chinese Statistical Association (ICSA) Instructor(s): Robert Cohen, SAS Institute, Inc. Annual Members Meeting Organizer(s): Ivan Chan, Merck & Co., Inc.
178 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
CE_37T CC-305 CE_40T CC-305 Wednesday 2:00 p.m.–3:45 p.m. 4:00 p.m.–5:45 p.m. Advances in Data Mining: Jerome Friedman’s Introduction to MARS: Predictive Modeling with TreeNet/MART and Leo Breiman’s Random Forests Nonlinear Automated Regression Tools The ASA The ASA Instructor(s): Mikhail Golovnya, Salford Systems Instructor(s): Mikhail Golovnya, Salford Systems
CE_38T CC-304 CE_41T CC-303 2:00 p.m.–3:45 p.m. 4:00 p.m.–5:45 p.m. East 4: a Comprehensive Package for Adaptive and From Software to Solutions in Statistics and Risk Group Sequential Design, Interim Monitoring, and Analysis Simulation The ASA The ASA Instructor(s): Shawn Harahush, Palisade Corporation Instructor(s): Cyrus Mehta, Cytel Inc.
CE_39T CC-303 2:00 p.m.–3:45 p.m. Quantile Regression Using the SAS QUANTREG Procedure The ASA Instructor(s): Colin Chen, SAS Institute, Inc.
Seattle 179 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
Roundtables with Coffee 352 CC-4C-1 7:00 a.m.–8:15 a.m. Section on Physical and Engineering Sciences Roundtable with Coffee (fee event) Section on Physical and Engineering Sciences 348 CC-4C-1 Organizer(s): Winson Taam, Th e Boeing Company Section on Bayesian Statistical Science WL06 Catching up on Wavelets: Recent Advances, Future Roundtable with Coffee (fee event) Directions—❖Donald B. Percival, University of Section on Bayesian Statistical Science Washington Organizer(s): Merlise Clyde, Duke University WL01 Model Selection in Hierarchical Models—❖David B. Dunson, National Institute of Environmental Health 353 CC-4C-1 Sciences Statistical Society of Canada Roundtable with Coffee (fee event) SSC, Section on Statistical Consulting 349 CC-4C-1 Organizer(s): X. Joan Hu, Simon Fraser University Section on Statistical Education Roundtable WL07 Tips for Academic Medical Statisticians—❖Karen with Coffee (fee event) Kopciuk, Alberta Cancer Board; Rhonda Rosychuk, Section on Statistical Education University of Alberta Organizer(s): Patti Collings, Brigham Young University WL02 An Open Discussion about Quantitative and Qualititative Research in Statistics Education—❖Jackie Miller, Th e Ohio State University Special Presentation 8:30 a.m.–10:20 a.m.
350 CC-4C-1 354 CC-400 Late-Breaking Session #2: What Is the Role of Section on Statistics and the Environment Statistics in Public Policy Debates about Climate Roundtables with Coffee (fee event) Change?—Other Section on Statistics and the Environment The ASA, ENAR, IMS, SSC, WNAR Organizer(s): Peter Guttorp, University of Washington Organizer(s): Edward Wegman, George Mason University; Richard L. WL03 Keeping Our Jobs: Relevance of Statistical Research in a Smith, Th e University of North Carolina at Chapel Hill ❖ Production Environment— Gretchen Moisen, U.S. Chair(s): Douglas W. Nychka, National Center for Atmospheric Research Forest Service 8:40 a.m. The Kyoto Accord, the 2001 IPCC Third WL04 Current Issues in Space-Time Modeling of Environmental Assessment Report, and the Academic Papers ❖ Data— Montserrat Fuentes, North Carolina State Underpinning Them—❖Edward Wegman, University George Mason University 9:05 a.m. National Research Council Report on the ‘Hockey 351 CC-4C-1 Stick Controversy’—❖J. Michael Wallace, Section on Statistics in Epidemiology University of Washington Roundtable with Coffee (fee event) 9:30 a.m. The CCSP Report on Temperature Trends in the Section on Statistics in Epidemiology, Section on Statistical Consulting Lower Atmosphere—❖Richard L. Smith, Th e Organizer(s): Jennifer Clark Nelson, Group Health Cooperative University of North Carolina at Chapel Hill WL05 Developing and Cultivating Successful Collaborations— 9:55 a.m. Floor Discussion ❖Robert F. Woolson, Medical University of South Carolina
180 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
Structure—❖Marc A. Suchard, University of
355 CC-4C-4 Wednesday Introductory Overview Lectures: Image California, Los Angeles; Vladimir N. Minin, Statistics and Bootstrap—Other University of California, Los Angeles; Karin S. The ASA, ENAR, IMS, SSC, WNAR Dorman, Iowa State University Organizer(s): Jianwen Cai, Th e University of North Carolina at Chapel Hill 8:55 a.m. Computational and Statistical Algorithms for Chair(s): Chris Fraley, Insightful Corporation Parentage Inference with Single Nucleotide ❖ 8:35 a.m. Introduction to Bootstrapping—❖Tim C. Polymorphisms— Eric C. Anderson, Southwest Hesterberg, Insightful Corporation Fisheries Science Center 9:25 a.m. Image Statistics—❖Eugene Demidenko, 9:15 a.m. Detecting Positive Selection in Protein-Coding Dartmouth Medical School DNA Sequences in Absence of Substantial Phylogenetic Information—❖Raquel Prado, 10:15 a.m. Floor Discussion University of California, Santa Cruz; Daniel Merl, University of California, Santa Cruz 9:35 a.m. Inferring Maximum-Likelihood Species Invited Sessions 8:30 a.m.–10:20 a.m. Phylogenies under Coalescence—❖Laura S. Kubatko, University of New Mexico 356 CC-614 9:55 a.m. A Bayesian Approach to Gene Tree Estimation and Inference for Models with Many Concordance—❖Bret Larget, University of Parameters—Invited Wisconsin-Madison Business and Economics Statistics Section 10:15 a.m. Floor Discussion Organizer(s): Robert J. Kohn, University of New South Wales Chair(s): Th omas S. Shively, Th e University of Texas at Austin 358 CC-201 8:35 a.m. Objective Bayesian Analysis for Multivariate ● ❖ Complex Sampling Designs and Related Dynamic Models— Dongchu Sun, Virginia Inference Issues in Epidemiologic Studies— Polytechnic Institute and State University/ University of Missouri-Columbia; Shawn Ni, Invited University of Missouri-Columbia Section on Statistics in Epidemiology Organizer(s): Bhramar Mukherjee, University of Florida 9:00 a.m. Bayesian Inference for Gaussian Copula Chair(s): Malay Ghosh, University of Florida Models—❖Robert J. Kohn, University of New South Wales 8:35 a.m. Complex Case-Control Sampling Methods: Solutions to Some Diverse Problems in 9:25 a.m. Spatial Bayesian Variable Selection with Epidemiological Research—❖Bryan Langholz, Application to Functional Magnetic Resonance Keck School of Medicine of USC Imaging—❖Michael Smith, University of Sydney; Daniel Smith, University of Sydney 9:00 a.m. Confounding of Genetic Association Studies by Population Structure—❖Alice S. Whittemore, 9:50 a.m. Statistical Inference for Highly Parameterized Stanford University Models for Discrete-Valued Data—❖Sylvia Frühwirth-Schnatter, Johannes Kepler University 9:25 a.m. Case-Control Studies of Gene-Environment Interaction: a Bayesian Approach—❖Bhramar 10:15 a.m. Floor Discussion Mukherjee, University of Florida; Li Zhang, University of Florida; Malay Ghosh, University of 357 CC-203 Florida ● ✪ Statistical Models in Computational 9:50 a.m. Disc: Peter Kraft, Harvard University Biology—Invited 10:10 a.m. Floor Discussion WNAR, Biometrics Section, ENAR Organizer(s): Raquel Prado, University of California, Santa Cruz Chair(s): Daniel Merl, University of California, Santa Cruz 8:35 a.m. Spatial Smoothing To Map HIV Recombination Hotspots: Associations with RNA Secondary
Seattle 181 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
359 CC-602 361 CC-607 ● Rare Trait Inference—Invited ● Causal Inference and the Estimation of Section on Survey Research Methods Neighborhood Health Effects—Invited Organizer(s): Myron J. Katzoff , National Center for Health Statistics Section on Health Policy Statistics, Biometrics Section Chair(s): Myron J. Katzoff , National Center for Health Statistics Organizer(s): Bob Gerzoff , Centers for Disease Control and Prevention 8:35 a.m. Network Sampling: a Potential Tool for Survey Chair(s): Bob Gerzoff , Centers for Disease Control and Prevention Estimates about Rare Populations—❖Iris M. 8:35 a.m. The (Mis)estimation of Neighborhood Effects: Shimizu, National Center for Health Statistics; Identifi cation Problems and the Multilevel Monroe G. Sirken, National Center for Health Model—❖J. Michael Oakes, University of Statistics Minnesota 9:00 a.m. Design and Likelihood-Based Inference for 9:00 a.m. Response to ‘The (Mis)estimation of Sample Surveys on Rare Traits—❖Steve Neighborhood Effects’—❖Jay S. Kaufman, Th e Th ompson, Simon Fraser University University of North Carolina at Chapel Hill 9:25 a.m. Testing Logistic Regression Coeffi cients with 9:25 a.m. Forming Better Guesses about Neighborhood Clustered Data and Few Positive Outcomes— Effects on Health—❖Brian Krauth, Simon Fraser ❖Sally Hunsberger, National Cancer Institute; University Barry I. Graubard, National Cancer Institute; 9:50 a.m. Causal Diagrams To Express Identifi cation of Edward Korn, National Cancer Institute Place Effects Using Multilevel Models— 9:50 a.m. Analytic Issues for Rare Events in the NHANES ❖M. Maria Glymour, Harvard School of Public Survey—❖Lester R. Curtin, Centers for Disease Health; S. V. Subramanian, Harvard School of Control and Prevention Public Health 10:15 a.m. Floor Discussion 10:15 a.m. Floor Discussion
360 CC-612 362 CC-401 ● ✪ New Directions in Statistical Machine ✪ Detecting Anomalies in Dynamic Multivariate Learning—Invited Data—Invited Section on Statistical Computing, Section on Statisticians in Defense and Section on Statisticians in Defense and National Security, Section on National Security, Section on Nonparametric Statistics Physical and Engineering Sciences, Section on Statistical Graphics Organizer(s): Yufeng Liu, Th e University of North Carolina at Chapel Organizer(s): Deepak K. Agarwal, AT&T Labs-Research Hill Chair(s): Chuanhai Liu, Purdue University Chair(s): Yufeng Liu, Th e University of North Carolina at Chapel Hill 8:35 a.m. Aggregation Queries at Streaming Speeds— 8:35 a.m. Margin-Based, Semisupervised Learning—Junhui ❖Divesh Srivastava, AT&T Labs-Research ❖ Wang, University of Minnesota; Xiaotong 9:00 a.m. Dynamic Thresholds: Monitoring Streams of Shen, University of Minnesota Counts Online—❖Diane Lambert, Google, Inc.; 9:05 a.m. Classifi cation and Feature Selection for High- Chuanhai Liu, Purdue University Dimensional Data—❖ Hao Zhang, North 9:25 a.m. Monitoring Massive Streams Simultaneously: a Carolina State University Holistic Approach—❖Deepak K. Agarwal, AT&T 9:35 a.m. Bias and Variance of Bagging Based on Labs-Research Subsampling with and without Replacement— 9:50 a.m. Two-Dimensional Variable Window Scan ❖Andreas Buja, University of Pennsylvania Statistics—❖Joseph Glaz, University of 10:05 a.m. Floor Discussion Connecticut 10:15 a.m. Floor Discussion
182 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers Wednesday
Seattle 183 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
363 CC-617 Panelists: ❖Cheryl Eavey, National Science Foundation ● Design and Analysis of Experiments for ❖Dean Evasius, National Science Foundation Complex Computer Simulators —Invited ❖Wen C. Masters, National Science Foundation Section on Physical and Engineering Sciences ❖Ronald S. Fecso, National Science Foundation Organizer(s): Derek Bingham, Simon Fraser University 10:15 a.m. Floor Discussion Chair(s): Derek Bingham, Simon Fraser University 8:35 a.m. Designs for Integrated Computer and Physical Experiments—❖C. Shane Reese, Brigham Topic-Contributed Sessions Young University; Derek Bingham, Simon Fraser University; Wilson Lu, Simon Fraser University 8:30 a.m.–10:20 a.m. 9:05 a.m. Sequential Experiment Design for Contour Estimation from Complex Computer Codes— 366 CC-618 ❖Pritam Ranjan, Simon Fraser University ✪ Sparse Inference and Multiple Comparisons— 9:35 a.m. Uncertainty Quantifi cation for Combining Topic-Contributed Experimental Data and Computer Simulations IMS from Multiple Data Sources—❖Brian J. Organizer(s): Jiashun Jin, Purdue University Williams, Los Alamos National Laboratory; Dave Chair(s): Pei Wang, Fred Hutchinson Cancer Research Center Higdon, Los Alamos National Laboratory; Jim 8:35 a.m. False Discovery Rates for Spatial Signals— Gattiker, Los Alamos National Laboratory ❖Ruth Heller, Tel-Aviv University; Yoav 10:05 a.m. Floor Discussion Benjamini, Tel-Aviv University 8:55 a.m. Large Dimensional Covariance Matrix Estimation Using a Factor Model—❖Jinchi Lv, Princeton Invited Panels 8:30 a.m.–10:20 a.m. University 9:15 a.m. A Bayesian Approach for Incomplete Paired Data—❖Feng Liang, Duke University; Woncheol 364 CC-206 Jang, Duke University; Fei Liu, Duke University ● Status of Disability Information in Surveys— 9:35 a.m. Quantile Coupling for Median and Its Invited Application to Nonparametric Robust Committee on Statistics and Disability Estimation—❖Harrison Zhou, Yale University Organizer(s): Michele Connolly, U.S. Social Security Administration 9:55 a.m. Sparse Principal Component Analysis—❖Hui Chair(s): Michele Connolly, U.S. Social Security Administration Zou, University of Minnesota Panelists: ❖Susan Schechter, Offi ce of Management and Budget 10:15 a.m. Floor Discussion ❖Jennifer Madans, National Center for Health Statistics 367 CC-2B ❖Martin Gould, National Council for Disability Adaptive Dose Response—Topic-Contributed ❖Philip Rones, Bureau of Labor Statistics Biopharmaceutical Section, Biometrics Section, ENAR Organizer(s): Jose Pinheiro, Novartis Pharmaceuticals Corporation ❖Mary Grace Kovar, National Opinion Research Center Chair(s): Jeff rey Maca, Novartis Pharmaceuticals Corporation 10:15 a.m. Floor Discussion 8:35 a.m. Implementing Bayesian Adaptive Dose-Response Finding Studies: a Clinical Perspective— ❖Michael Krams 365 CC-3B 8:55 a.m. Adaptive Dose-Response Phase II Trials for National Science Foundation Invited Session— Clinical Development—❖Qing Liu, Johnson & Invited Johnson National Science Foundation, Section on Statistical Education 9:15 a.m. Evaluating Rolling Dose Designs and Methods— Organizer(s): Grace Yang, National Science Foundation ❖Amit Roy, Bristol-Myers Squibb Company; Chair(s): Grace Yang, National Science Foundation Frank Shen, Bristol-Myers Squibb Company
184 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
9:35 a.m. Disc: Greg Enas, Eli Lilly and Company State University; Douglas Wolfe, Th e Ohio State Wednesday 9:55 a.m. Disc: Jerald Schindler, Cytel Inc. University 10:15 a.m. Floor Discussion 9:15 a.m. Ranked Set Sampling for Ordered Categorical Variables—❖Haiying Chen, Wake Forest University; Elizabeth Stasny, Th e Ohio State 368 CC-2A University; Douglas Wolfe, Th e Ohio State Biomarker—Topic-Contributed University Biopharmaceutical Section, Biometrics Section, ENAR 9:35 a.m. Order-Restricted, Randomized Designs for Linear Organizer(s): Viswanath Devanarayan, Merck Research Laboratories Models Using L1 Norm—❖Shannon Markiewicz, Chair(s): Christopher Tong, Merck Research Laboratories Th e Ohio State University; Omer Ozturk, Th e 8:35 a.m. Biomarker Analysis of Medical Imaging and Ohio State University ❖ Radiotelemetry Signals— Christopher 9:50 a.m. Two-Sample, Ranked-Sum Test for Order- Tong, Merck Research Laboratories; Yevgen Restricted Randomized Designs—❖Yiping Sun, Tymofyeyev, Merck Research Laboratories; Th e Ohio State University; Omer Ozturk, Th e Karim Azer, Merck Research Laboratories; Ohio State University Philip E. Brandish, Merck Research Laboratories; 10:15 a.m. Floor Discussion Hongxing Chen, Merck Research Laboratories; James C. Hershey, Merck Research Laboratories; Matthew Walker, III, Merck Research 370 CC-604 Laboratories; Barry R. Campbell, Merck From Policy to Application: a Health and Research Laboratories; Kaijie Fang, Merck Mortality Case Study—Topic-Contributed Research Laboratories; Donald S. Williams, Section on Government Statistics Merck Research Laboratories; Alexandre Organizer(s): Wendy Alvey, U.S. Census Bureau; Norman Johnson, U.S. Coimbra, Merck Research Laboratories Census Bureau 8:55 a.m. Statistical Considerations for Protein Chair(s): Paul D. Sorlie, National Heart, Lung, and Blood Institute/NIH Biomarker Discovery from Human Plasma and 8:35 a.m. The National Longitudinal Mortality Study— Cerebrospinal Fluid—❖Richard Higgs, Eli Lilly ❖Norman Johnson, U.S. Census Bureau and Company 8:55 a.m. The National Death Index: an Overview—❖Robert 9:15 a.m. Model Selection and Cross-Validation for Bilgrad, National Center for Health Statistics Biomarker Discovery and Validation—❖Annette 9:15 a.m. The NLMS: Data Stewardship Policies at Work— Molinaro, Yale University School of Medicine ❖Wendy Alvey, U.S. Census Bureau 9:35 a.m. Application of RandomForest as a Variable 9:35 a.m. U.S. Census Bureau Administrative Record Data Selection Tool on Biomarker Data—❖Katja Stewardship Policies for Administrative Records Remlinger, GlaxoSmithKline Use—❖Patricia Melvin, U.S. Census Bureau 9:55 a.m. Floor Discussion 9:55 a.m. Disc: Daniel J. Wilson, Federal Reserve Bank of San Francisco 369 CC-615 10:15 a.m. Floor Discussion ● Ranked Set Sampling II—Topic-Contributed Section on Nonparametric Statistics 371 CC-619 Organizer(s): Omer Ozturk, Th e Ohio State University ● Chair(s): Omer Ozturk, Th e Ohio State University Visual Sampling Plan Software for Designing Environmental Sampling Plans for Chem/Bio/Rad 8:35 a.m. Confi dence Intervals for Quantiles Based on Ranked Set Samples—❖Tao Li, St. Francis and Munitions Contamination—Topic-Contributed Xavier University; Narayanaswamy Balakrishnan, Section on Statistics and the Environment McMaster University Organizer(s): Richard Gilbert, Pacifi c Northwest National Laboratory Chair(s): Richard GIlbert, Pacifi c Northwest National Laboratory 8:55 a.m. Missing Data and Consequences in Ranked Set Sampling—❖Jessica Kohlschmidt, Th e Ohio 8:35 a.m. Visual Sample Plan (VSP) Software: What Is It, ❖ State University; Elizabeth Stasny, Th e Ohio and How To Use It?— John Wilson, Pacifi c
Seattle 185 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
Northwest National Laboratory; Lisa Nuff er, 9:55 a.m. Applications of Structural Equation Models: Pacifi c Northwest National Laboratory; Brent A. Case Studies in Biomedical and Aerospace Pulsipher, Battelle-PNNL Engineering Research—❖I-Li Lu, Th e Boeing 8:55 a.m. Sampling Designs for Surfaces within Buildings— Company ❖Brett D. Matzke, Battelle-PNNL; Brent A. 10:15 a.m. Floor Discussion Pulsipher, Battelle-PNNL; John Wilson, Pacifi c Northwest National Laboratory; Richard Gilbert, Pacifi c Northwest National Laboratory; Lisa 373 CC-603 ● ✪ Nuff er, Pacifi c Northwest National Laboratory; Medical Expenditures: Data Collection, Nancy Hassig, Pacifi c Northwest National Estimation, and Evaluations—Topic-Contributed Laboratory; John Hathaway, Battelle-PNNL Section on Survey Research Methods, Section on Health Policy Statistics, Biometrics Section, ENAR 9:15 a.m. Geophysical Survey Designs To Aid the Organizer(s): Trena Ezzati-Rice, Agency for Healthcare Research and Identifi cation and Remediation of Ordnance- Quality Related Contaminants—❖ John Hathaway, Battelle- Chair(s): Steven B. Cohen, Agency for Healthcare Research and Quality PNNL; Brent A. Pulsipher, Battelle-PNNL; John 8:35 a.m. Evaluation of the Completeness of Household Wilson, Pacifi c Northwest National Laboratory; Reports of Medical Expenditures for Visits to Richard Gilbert, Pacifi c Northwest National Physician Offi ces—Steven R. Machlin, Agency Laboratory; Brett D. Matzke, Battelle-PNNL for Healthcare Research and Quality; ❖Diana 9:35 a.m. A Practical Application of VSP to an Wobus, Westat; David Kashihara, Agency for Environmental Question: Abraham’s Creek— Healthcare Research and Quality ❖Kelly Black, Neptune & Company; Michele 8:55 a.m. Evaluation of the Accuracy of Household Wolf, Neptune & Company Reports of Medical Expenditures for Visits to Disc: Nagaraj Neerchal, University of Maryland Physician Offi ces—Steven R. Machlin, Agency Baltimore County for Healthcare Research and Quality; ❖David 9:55 a.m. Floor Discussion Kashihara, Agency for Healthcare Research and Quality; Diana Wobus, Westat 372 CC-310 9:15 a.m. The Impact of Medical Expenditure Predictors in ● ✪ MEPS Nonresponse Adjustments— Statistics in the Aerospace Industry: Human ❖ Factor Studies—Topic-Contributed Lap-Ming Wun, Agency for Healthcare Research and Quality; Trena Ezzati-Rice, Agency Biometrics Section, Section on Statisticians in Defense and National for Healthcare Research and Quality; Steven Security, Section on Physical and Engineering Sciences B. Cohen, Agency for Healthcare Research and Organizer(s): I-Li Lu, Th e Boeing Company Quality; William Yu, Agency for Healthcare Chair(s): Winson Taam, Th e Boeing Company Research and Quality 8:35 a.m. Using Statistical Methods in the Design of the 787 Cabin Environment—❖Martin 9:35 a.m. Evaluation of Expenditure Estimates When Meckesheimer, Th e Boeing Company Including a High-Expenditure Predictor in Nonresponse Adjustments—Lap-Ming Wun, 8:55 a.m. Predicted Arterial Oxygenation at Commercial Agency for Healthcare Research and Quality; ❖ Aircraft Cabin Altitudes— Mike Muhm, Th e Steven B. Cohen, Agency for Healthcare Research Boeing Company and Quality; ❖Trena Ezzati-Rice, Agency for 9:15 a.m. Protocol Development of the Cabin Altitude Healthcare Research and Quality; William Yu, Study—❖Dianne McMullin, Th e Boeing Agency for Healthcare Research and Quality Company; Mike Muhm, Th e Boeing Company; 9:55 a.m. Approximation of Skewed Health Care Stephen P. Jones, Th e Boeing Company; I-Li Lu, Expenditure Distribution Using a Mixture Th e Boeing Company; Paul Rock, Oklahoma Model—❖William Yu, Agency for Healthcare State University Research and Quality 9:35 a.m. Statistical Methods in Cabin Altitude Study— 10:15 a.m. Floor Discussion ❖Stephen P. Jones, Th e Boeing Company
186 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers Wednesday
Seattle 187 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
374 CC-205 376 CC-609 ✪ Analyses of Studies Using Biomarkers—Topic- ● Mentoring Statisticians—Topic-Contributed Contributed Section on Statistical Education, Committee on Career Development Section on Statistics in Epidemiology, Biometrics Section, ENAR Organizer(s): Snehalata Huzurbazar, University of Wyoming Organizer(s): Estelle Russek-Cohen, U.S. Food and Drug Chair(s): Snehalata Huzurbazar, University of Wyoming Administration Panelists: ❖Amy Froelich, Iowa State University Chair(s): Alex Bajamonde, Genentech, Inc. ❖Sastry Pantula, North Carolina State University 8:35 a.m. Array Spatial Variability and Normalization ❖Sally C. Morton, RTI International Techniques for Microarray Gene Expression ❖ Signals—❖Samir Lababidi, U.S. Food and Drug Cynthia Clark, U.K. Offi ce for National Statistics Administration; Daya Ranamukhaarachchi, U.S. ❖Ronald Menton, Wyeth Research Food and Drug Administration 10:15 a.m. Floor Discussion 8:55 a.m. Statistical Issues in Incorporating and Testing Biomarkers in Clinical Trials—❖Daniel Sargent, Mayo Clinic College of Medicine; Sumithra Regular Contributed Sessions Mandrekar, Mayo Clinic College of Medicine 8:30 a.m.–10:20 a.m. 9:15 a.m. Statistical Design and Multiple Testing Analysis of Microarray—❖Jane Chang, Bowling Green State University; Jason Hsu, Th e Ohio State 377 CC-309 University ● Capture-Recapture and Other Problems in 9:35 a.m. Prediction Modeling Using Survival Data for Environmental and Ecological Statistics— Gene Expression Prognostic Test for Breast Contributed Cancer—❖Kit Lau, Celera Diagnostics; Alice Biometrics Section, ENAR Wang, Celera Diagnostics; John Sninsky, Celera Chair(s): Linda Young, University of Florida Diagnostics; Trevor Hastie, Stanford University 8:35 a.m. Semiparametric Models for Capture-Recapture 9:55 a.m. Disc: Estelle Russek-Cohen, U.S. Food and Drug Experiments with Behavoral Response— Administration ❖Wen-Han Hwang, Feng Chia University; Richard Huggins, University of Melbourne 10:05 a.m. Floor Discussion 8:50 a.m. Population Estimation for Noninvasive Trapping—❖Emily Murphree, Miami University Topic-Contributed Panels 9:05 a.m. Assessing Similarity of Two Assemblages with Unseen Species in Samples—❖Tsung-Jen 8:30 a.m.–10:20 a.m. Shen, National Chung Hsing University; Anne Chao, National Tsing Hua University; Robin L. 375 CC-606 Chazdon, University of Connecticut; Robert L. ● ✪ What Is Feminist Statistics?—Topic- Colwell, University of Connecticut Contributed 9:20 a.m. Estimating the Species Richness by a Poisson- Social Statistics Section, Caucus for Women in Statistics, Section on Compound Gamma Model—❖Ji-Ping Wang, Government Statistics, Section on Statistical Education Northwestern University Organizer(s): Mary W. Gray, American University 9:35 a.m. Mixtures of Exponential Distributions To Chair(s): Mary W. Gray, American University Describe the Distribution of Poisson Means in Panelists: ❖Martha Aliaga, American Statistical Estimating the Number of Unobserved Classes— Association ❖Kathryn Barger, Cornell University ❖Arlene Ash, Boston University 9:50 a.m. Principle Component Analysis as a Statistical ❖Eduardas Valaitis, American University Tool To Investigate the Role of Specifi c Habitat Variables in Lyme Disease Ecology—❖Haiyan 10:15 a.m. Floor Discussion Chen, Dana-Farber Cancer Institute 10:05 a.m. Floor Discussion
188 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
9:20 a.m. Conditional Estimation for Joint Models for a
378 CC-308 Wednesday ● Models for Multivariate (Longitudinal) Data— Primary Endpoint and Multivariate Longitudinal Contributed Data—❖Erning Li, Texas A&M University; Naisyin Biometrics Section, ENAR Wang, Texas A&M University; Nae-Yuh Wang, Th e Johns Hopkins University School of Medicine Chair(s): Armando Teixeira-Pinto, Harvard School of Public Health 8:35 a.m. Alternative Structural Models for Analyzing 9:35 a.m. A Bayesian Approach to Modeling Associations ❖ Multivariate Longitudinal Data—❖Feng Gao, between Pulsatile Hormones— Nichole Washington University School of Medicine; Carlson, Oregon Health & Science University; Paul Th ompson, Washington University School Timothy D. Johnson, University of Michigan; of Medicine; Chengjie Xiong, Washington Morton B. Brown, University of Michigan University School of Medicine; J. Philip Miller, 9:50 a.m. Floor Discussion Washington University School of Medicine 8:50 a.m. Unconstrained Models for the Covariance Structure 379 CC-608 of Multivariate Longitudinal Data—❖Chulmin ● Robust Solutions—Contributed Kim, University of Minnesota, Morris; Dale Business and Economics Statistics Section Zimmerman, Th e University of Iowa Chair(s): Michael Sverchkov, Bureau of Labor Statistics/BAE Systems IT 9:05 a.m. Multilevel Flexible Models for Mixed 8:35 a.m. On Robust Forecasting in Dynamic Vector Time ❖ Longitudinal Data— Nuoo-Ting Molitor, Series Models—❖Pierre Duchesne, Université de University of Southern California; Kiros Montréal; Christian Gagné, Université de Montréal Berhane, University of Southern California
Seattle 189 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
8:50 a.m. A Test of the Modality of the Variance Function 9:35 a.m. Marginal Regression Modeling under Irregular, in Modulated Autoregressive Models—❖Gabe Biased Sampling—❖Petra Buzkova, Th e Chandler, Connecticut College University of North Carolina at Chapel Hill; 9:05 a.m. Multiple Imputation of Right-Censored Data: an Th omas Lumley, University of Washington Application to Wage Data and Understanding 9:50 a.m. Projected Multivariate Linear Mixed-Effects the Changing Wage Gap by Gender in Models for Clustered Angular Data—❖Daniel Germany—❖Hermann Gartner, Institute for Hall, University of Georgia; Lewis Jordan, Employment Research University of Georgia; Jinae Lee, University of 9:20 a.m. A New Approach to Univariate Unit Root Tests Georgia Robust to Structural Change—❖Seong-Tae Kim, 10:05 a.m. Optimal Estimators from Generalized Estimating North Carolina State University Equations (GEE) for Longitudinal Data—❖Ioana 9:35 a.m. Testing for Threshold Moving Average with Schiopu-Kratina, Statistics Canada; Raluca M. Conditional Heteroscedasticity—❖Guodong Balan, University of Ottawa Li, Th e University of Hong Kong; Wai K. Li, Th e University of Hong Kong 381 CC-3A 9:50 a.m. A New Approach for Calculating Sample Size To ● Survival, Time to Event—Contributed Detect Desired Difference between Treatment Biopharmaceutical Section, Biometrics Section, ENAR ❖ Groups with Intended Power— Seemit Sheth, Chair(s): B. Christine Clark, ICON Clinical Research Capital One Financial Corporation 8:35 a.m. Predicting Time of Completion in Multiphase 10:05 a.m. Competitiveness Analysis of the Italian Firms: Survival Trials—❖Dennis Sweitzer, AstraZeneca Use of Robust Classifi cation Methods— Pharmaceuticals ❖Matilde Bini, University of Florence; Luigi 8:50 a.m. Power Calculation for Log-Rank Test under a Biggeri, Italian National Statistical Institute Nonproportional Hazards Model—❖Daowen Zhang, sanofi -aventis; Hui Quan, sanofi -aventis 380 CC-204 9:05 a.m. Use of Life Tables To Extrapolate Survival from ● Flexible Methods for Longitudinal Data— Clinical Trial Data—❖W. J. Hall, University of Contributed Rochester Medical Center; Hongyue Wang, ENAR, Biometrics Section University of Rochester Medical Center Chair(s): Andres Houseman, Harvard School of Public Health 9:20 a.m. Analyzing Change in Hazard for Time-to-Event 8:35 a.m. Effi cient Estimation in Semiparametric Endpoints in Clinical Trials—❖Rafi a Bhore, U.S. Generalized Linear Model for Longitudinal Food and Drug Administration; Sandra Gardner, Data—❖Lu Wang, Harvard University; Xihong Sunnybrook Health Sciences Centre Lin, Harvard School of Public Health; Andrea 9:35 a.m. Time to Rescue as a Surrogate Endpoint for Rotnitzky, Harvard University Analgesic Effi cacy in Acute Pain Studies—❖Julia 8:50 a.m. Varying-Coeffi cient Model with Unknown within- Wang, Johnson & Johnson Pharmaceutical Subject Covariance for the Analysis of Tumor R&D; Akiko Okamoto, Johnson & Johnson Growth Curves—❖Robert Krafty, University Pharmaceutical R&D; Surya Mohanty, Johnson of Pennsylvania; Wensheng Guo, University & Johnson Pharmaceutical R&D of Pennsylvania; Phyllis Gimotty, University of 9:50 a.m. On Analysis of Time to Progression—❖Zhiping Pennsylvania; George Coukos, University of Sun, Merck & Co., Inc.; Cong Chen, Merck & Pennsylvania Co., Inc. 9:05 a.m. Modeling Plasma HIV Viral Load by a Piecewise 10:05 a.m. Testing for Change-Points in Waiting Time Polynomial Linear Mixed Model—❖Hsiao-Chuan Distributions—❖Th omas Hammerstrom, U.S. Tien, Th e University of North Carolina at Chapel Food and Drug Administration; Rafi a Bhore, U.S. Hill; Pai-Lien Chen, Family Health International Food and Drug Administration 9:20 a.m. Nonparametric Inference in the Heteroscedastic Two-Way Random Effects Model Based on Ranks—❖Zhe Shang, Wyeth Research
190 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
9:20 a.m. Estimating the Number of Data Clusters via
382 CC-307 Wednesday ● Clustering and Classifi cation—Contributed Agreement Measure–Based Statistics—❖Heng Biometrics Section, ENAR Liu, University of Illinois at Urbana-Champaign; Chair(s): David B. Hitchcock, University of South Carolina Michelle Wang, University of Illinois at Urbana- Champaign; Douglas Simpson, University of 8:35 a.m. Classifi cation by Ensembles from Random Illinois at Urbana-Champaign Partitions of High-Dimensional Genomic Data—❖Hojin Moon, U.S. Food and Drug 9:35 a.m. Clustering of Longitudinal Data: a Functional ❖ Administration; Hongshik Ahn, Stony Brook Data Approach— Jeng-Min Chiou, Academia University; James J. Chen, U.S. Food and Drug Sinica; Pai-Ling Li, National Tsing Hua Administration; Ralph L. Kodell, U.S. Food and University Drug Administration 9:50 a.m. Initializing Optimization Partition Algorithms— ❖ 8:50 a.m. Ensemble Methods for Classifying an Ordinal Ranjan Maitra, Iowa State University Response—❖Kellie J. Archer, Virginia 10:05 a.m. A Scale-Independent Clustering Method with Commonwealth University Automatic Variable Selection Based on Trees— ❖ 9:05 a.m. Tree-Based Integration of One-versus-Some Samuel Buttrey, Naval Postgraduate School Classifi ers for Multiclass Classifi cation— ❖Yuejing Ding, Columbia University; Tian 384 CC-610 Zheng, Columbia University ● Examples for the Statistics Classroom— 9:20 a.m. Clustering Genes in Genetical Genomics Contributed ❖ Experiments— Joshua Sampson, University Section on Statistical Education of Washington; Steve Self, University of Chair(s): Tena Katsaounis, Th e Ohio State University Washington 8:35 a.m. Making Babies by the Flip of a Coin?— 9:35 a.m. A Divisive Method via Multivariate Hypothesis ❖Matthew Carlton, California Polytechnic State Testing for Clustering Gene Expression University, San Luis Obispo Patterns—❖Haiyan Wang, Kansas State 8:50 a.m. Illuminating the Confi dence Interval Concept University Activity—❖Alicia Graziosi, Temple University; 9:50 a.m. On Comparing the Clustering of Regression Jeff rey Lidicker, Temple University Models Method with K-Means Clustering—❖Li- 9:05 a.m. Learning Activities for Large Classes—❖Patti Xuan Qin, Memorial Sloan-Kettering Cancer Collings, Brigham Young University Center; Steve Self, University of Washington 9:20 a.m. How Low Can You Go?—❖Paul Stephenson, 10:05 a.m. Floor Discussion Grand Valley State University; Mary Richardson, Grand Valley State University; John Gabrosek, 383 CC-616 Grand Valley State University Clustering—Contributed 9:35 a.m. Conditional Probability and ‘Who Wants To Be Section on Statistical Computing, Section on Nonparametric Statistics a Millionaire?’—❖Diane Evans, Rose-Hulman Chair(s): Guei-Feng Tsai, Northwestern University Institute of Technology 8:35 a.m. Clustering by Intersection-Merging—❖Qunhua 9:50 a.m. Post-Hoc Analysis for a Class of Chi-Square Li, University of Washington; Marina Meila, Tests—❖Edward Markowski, Old Dominion University of Washington University; Carol A. Markowski, Old Dominion 8:50 a.m. Strategies for Scaling and Weighting Variables University in Cluster Analysis—❖Srinivas Maloor, Rutgers 10:05 a.m. Keeping an Introductory Statistics Course University; Ramanathan Gnanadesikan, Rutgers Interesting: Use of Demonstrations, Examples, University; Jon Kettenring, Drew University Rewards, and a Little Humor—❖Harry Norton, 9:05 a.m. Model-Based Projection Pursuit Clustering— Carolinas Medical Center ❖Jie Ding, GlaxoSmithKline
Seattle 191 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
385 CC-611 9:05 a.m. Bayesian Discovery of Regulatory Motifs Using Bayesian Design and High-Dimensional Reversible Jump Markov Chain Monte Carlo— Inference—Contributed ❖Min Li, University of Washington Section on Bayesian Statistical Science 9:20 a.m. Detection of Quantitative Trait Loci on Multiple Chair(s): Ming Yuan, Georgia Institute of Technology Linkage Groups—❖Patrick Gaff ney, ImClone 8:35 a.m. Automatic Estimation of Multivariate Spectra Systems via Smoothing Splines—❖Ori Rosen, Th e 9:35 a.m. Bayesian Clustering of SNP Genotypes— University of Texas at El Paso; David Stoff er, ❖Guohua Yan, Th e University of British University of Pittsburgh Columbia; William J. Welch, Th e University 8:50 a.m. Bayesian Curve Estimation with Overcomplete of British Columbia; Ruben H. Zamar, Th e Wavelet Dictionary—❖Jen-hwa Chu, Duke University of British Columbia University; Merlise Clyde, Duke University; Feng 9:50 a.m. Bayesian Clustering of Short Temporal Gene Liang, Duke University Expression Dynamics—❖Ling Wang, Boston 9:05 a.m. Bayesian LAGO for Statistical Detection University; Paola Sebastiani, Boston University; Problems—❖Wanhua Su, University of Marco Ramoni, Harvard Medical School Waterloo; Mu Zhu, University of Waterloo; Hugh 10:05 a.m. A Bayesian Retrospective Classifi cation Model— A. Chipman, Acadia University ❖Jingqin Luo, Duke University 9:20 a.m. Avoiding Bias from Feature Selection in Classifi cation and Regression Models— 387 CC-601 ❖Longhai Li, University of Toronto; Jianguo ● Sample Survey Quality IV—Contributed Zhang, University of Toronto; Radford Neal, Section on Survey Research Methods University of Toronto Chair(s): Rita Petroni, U.S. Census Bureau 9:35 a.m. Dose-Schedule Finding in Phase I/II Clinical 8:35 a.m. Changing to Register-Based Statistics—❖Anders Trials Using Bayesian Isotonic Transformation— Wallgren, Statistics Sweden; Britt Wallgren, ❖ Yisheng Li, M. D. Anderson Cancer Center; Statistics Sweden Nebiyou B. Bekele, M. D. Anderson Cancer 8:50 a.m. Longitudinal Evaluation of Point and Variance Center; Yuan Ji, M. D. Anderson Cancer Center; Estimates in an Establishment Survey after Ratio John Cook, M. D. Anderson Cancer Center Imputation—❖Adriana Perez, Th e University of 9:50 a.m. Bayesian Two-Stage Optimal Design for Texas Health Science Center at Houston Generalized Linear Models—❖Ying Zhang, 9:05 a.m. Experimental Design for the 2006 American Virginia Polytechnic Institute and State Community Survey Content Test—❖ University Mark Asiala, U.S. Census Bureau; Alfredo Navarro, U.S. 10:05 a.m. Floor Discussion Census Bureau 9:20 a.m. A Comparison of Two Ratio Edit Methods for 386 CC-613 the Annual Survey of Government Finances— ● ✪ Bayesian Applications to Genetics— ❖Elizabeth Cornett, U.S. Census Bureau; Joanna Contributed F. McLaughlin, U.S. Census Bureau; Carma R. Section on Bayesian Statistical Science, Biometrics Section, ENAR Hogue, U.S. Census Bureau; Stephen D. Owens, Chair(s): Leanna House, Duke University U.S. Census Bureau 8:35 a.m. The Evolutionary Forest Algorithm—❖Scotland 9:35 a.m. Evaluation of the Detectability and Inferential Leman, Duke University Impact of Nonresponse Bias in Establishment Surveys—❖ 8:50 a.m. Bayesian Inference for Estimating Migration Randall Powers, Bureau of Labor Rate, Mutation Rate, and Population Size Statistics; John L. Eltinge, Bureau of Labor Statistics in Microsatellite Loci—❖Seongho Song, 9:50 a.m. A Coverage Profi le of Area Frame Blocks on the University of Cincinnati; Dipak Dey, University United States Census Bureau’s Master Address of Connecticut; Kent E. Holsinger, University of File—❖Timothy Kennel, U.S. Census Bureau Connecticut 10:05 a.m. Floor Discussion
192 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers Wednesday
Seattle 193 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
388 CC-211 9:05 a.m. Spatial Models, Spatial Integrals, and Green’s ● ✪ Cluster Modeling and Cluster Detection— Theorem—❖Gary Simon, New York University Contributed 9:20 a.m. A Variation on Spike-Time Distance Prototypes— Section on Statistics in Epidemiology ❖Katherine Tranbarger, Amherst College Chair(s): Margaret Nemeth, Monsanto Regulatory Sciences 9:35 a.m. A Method for Multiscale Spatio-Temporal 8:35 a.m. P-Values for the Besag-Newell Cluster Detection Analysis—❖Mary Louie, National Center for Test—❖Ronald Gangnon, University of Health Statistics Wisconsin-Madison 9:50 a.m. A Weighting Class Adjustment Estimator in a 8:50 a.m. On Detecting a Rate Increase Using a Bernoulli- Continuous Domain—❖Breda Munoz, RTI Based Scan Statistic—❖Michael Joner, Virginia International; Virginia M. Lesser, Oregon State Polytechnic Institute and State University; William University; Leigh Harrod, Oregon State University H. Woodall, Virginia Polytechnic Institute and 10:05 a.m. Floor Discussion State University; Marion Reynolds, Virginia Polytechnic Institute and State University 390 CC-605 9:05 a.m. Spatial Survival Clusters of Patients Diagnosed ● with Lung Cancer and Late-Stage Colorectal Survey-Based Estimation IV—Contributed Cancer in California—❖Lan Huang, National Section on Survey Research Methods Cancer Institute Chair(s): Mansour Fahimi, RTI International 9:20 a.m. A Latent Model for Highly Skewed and Grouped 8:35 a.m. Effects of Uncontrolled Factors at the Collection ❖ Stage on the Canadian Nutrition Survey— Data— Huichao Chen, Emory University; ❖ Amita K. Manatunga, Emory University; Robert François Verret, Statistics Canada; Steven Lyles, Emory University; Michele Marcus, Emory Th omas, Statistics Canada University 8:50 a.m. Regression Diagnostics for Survey Data— ❖ 9:35 a.m. Local Likelihood Models for Disease Cluster Jianzhu Li, University of Maryland; Richard Modeling: a Space-Time Extension—❖Monir Valliant, University of Michigan Hossain, University of South Carolina; Andrew 9:05 a.m. Design Effects in Randomized Experiments B. Lawson, University of South Carolina Based on Sample Surveys—❖K. P. Srinath, Abt 9:50 a.m. Approximating the Multiple-Width-Window Scan Associates Inc. Statistic for Nonuniform Background—❖Joseph 9:20 a.m. Using Census Data to Defi ne Estimation Areas Naus, Rutgers University for the American Community Survey: a Case ❖ 10:05 a.m. Cluster Analysis Using Methods of Pairwise Study— Joseph Powers, U.S. Census Bureau; Weight on Mixed Type Attributes—❖William Alfredo Navarro, U.S. Census Bureau Warde, Oklahoma State University 9:35 a.m. Estimating Birth Counts for Small Geographical Domains Used for Control Totals in Raking Adjustment—❖Amang Sukasih, Mathematica 389 CC-620 Policy Research, Inc.; Donsig Jang, Mathematica Methodology for Spatial Data—Contributed Policy Research, Inc.; Mary Edith Bozylinsky, Section on Statistics and the Environment, WNAR Mathematica Policy Research, Inc.; Barbara L. Chair(s): Eric Slud, U.S. Census Bureau Carlson, Mathematica Policy Research, Inc. 8:35 a.m. Spatial Multivariate EOFs: Discrete to 9:50 a.m. Iteration of Second-Stage and Composite Continuous Approximations—❖Yonggang Yao, Procedures in the Current Population Survey— Th e Ohio State University; Noel Cressie, Th e ❖Samantha Cruz, Bureau of Labor Statistics; Ohio State University Edwin L. Robison, Bureau of Labor Statistics; 8:50 a.m. Spatial Designs and Strength of Spatial Signal: Tamara S. Zimmerman, Bureau of Labor Effects on Covariance Estimation—❖Kathryn Statistics Irvine, Oregon State University; Alix Gitelman, 10:05 a.m. Estimation and Reliability Issues of Health Oregon State University; Jennifer A. Hoeting, Estimates from the Behavioral Risk Factor Colorado State University Surveillance System for U.S. Counties Contiguous
194 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
to the United States-Mexico Border—❖Joe
393 CC-601 Wednesday Fred Gonzalez, Jr., National Center for Health ● ✪ Bayesian Methods in Cancer Genomics— Statistics; Machell Town, National Center Invited for Chronic Disease Prevention and Health WNAR, Biometrics Section, Section on Bayesian Statistical Science, ENAR Promotion; Jay J. Kim, National Center for Organizer(s): Sonia Jain, University of California, San Diego Health Statistics; Sam Notzon, National Center Chair(s): Sonia Jain, University of California, San Diego for Health Statistics; Juan R. Albertorio, National Center for Health Statistics 10:35 a.m. Variable Selection in Regression Mixture Modeling for the Discovery of Gene Regulatory Networks—❖Joseph G. Ibrahim, Th e University of North Carolina at Chapel Hill; Mayetri Gupta, Invited Sessions 10:30 a.m.–12:20 p.m. Th e University of North Carolina at Chapel Hill 11:00 a.m. Variable Selection in Clustering via Dirichlet 391 CC-4C-4 Process Mixture Models—❖Marina Vannucci, ● ✪ Noether Award Invited Session—Invited Texas A&M University Noether Award Committee, Section on Nonparametric Statistics 11:25 a.m. Nonparametric Models for Proteomic Organizer(s): Regina Liu, Rutgers University Peak Identifi cation, Quantifi cation, and Chair(s): Regina Liu, Rutgers University Classifi cation—❖Merlise Clyde, Duke 10:35 a.m. Doing Thousands of Hypothesis Tests at University; Leanna House, Duke University; the Same Time—❖Bradley Efron, Stanford Robert Wolpert, Duke University University 11:50 a.m. Disc: Steven N. MacEachern, Th e Ohio State 11:25 a.m. Bayesian Mixed Models for Functional Data— University ❖Jeff rey S. Morris, M. D. Anderson Cancer 12:10 p.m. Floor Discussion Center 12:15 p.m. Floor Discussion 394 CC-307 ✪ Building Statistical Capacity in Developing 392 CC-607 Countries—Invited ● ✪ Government Statistical Agencies Are Committee on International Relations in Statistics, Section on Statistical Now Offering Electronic Reporting to Their Education Respondents, but Is It Worth the Effort?— Organizer(s): Louise Ryan, Harvard School of Public Health Chair(s): Martha Aliaga, American Statistical Association Invited 10:50 a.m. Statistics in Argentina—❖Diana Kelmansky, Section on Government Statistics University of Buenos Aires Organizer(s): Robert Lussier, Statistics Canada Chair(s): Robert Lussier, Statistics Canada 12:15 p.m. Floor Discussion 10:35 a.m. Qui Bono: Who Benefi ts from Web Data Collection?—❖Michael D. Levi, Bureau of Labor 395 CC-611 Statistics ● Latent Class Models for Disease 10:55 a.m. The Development of Electronic Data Collection Classifi cation—Invited Techniques—❖Rami Peltola, Statistics Finland ENAR, Biometrics Section, WNAR 11:15 a.m. Statistics Canada’s Electronic Data Reporting Organizer(s): Rebecca Betensky, Harvard School of Public Health Experience—❖Jocelyn Burgess, Statistics Canada Chair(s): Rebecca Betensky, Harvard School of Public Health 11:35 a.m. Improving the Provider Experience: the Vision 10:35 a.m. Diagnosing Sepsis in Patients with SIRS— ❖ for Multi-Modal Data Collection in Australia— Klaus Larsen, University of Copenhagen ❖Sean Th ompson, Australian Bureau of 11:05 a.m. Penalized Latent Class Methods for Disease Statistics Classifi cation—❖Andres Houseman, Harvard 11:55 a.m. Disc: Th omas L. Mesenbourg, U.S. Census Bureau School of Public Health; Brent A. Coull, Harvard School of Public Health; Rebecca Betensky, 12:15 p.m. Floor Discussion Harvard School of Public Health
Seattle 195 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
11:35 a.m. Latent Class Measurement of Frailty and 398 CC-608 Dysregulation in Older Adults—❖Karen Statistical Challenges in Analyzing Highly Bandeen-Roche, Th e Johns Hopkins Bloomberg Stratifi ed Data—Invited School of Public Health Biometrics Section, WNAR 12:05 p.m. Floor Discussion Organizer(s): Bhramar Mukherjee, University of Florida Chair(s): Bhramar Mukherjee, University of Florida 396 CC-2A 10:35 a.m. Semiparametric Transformation Models with Semiparametric Inference in Practice—Invited Random Effects for Highly Stratifi ed Survival ❖ IMS, Section on Nonparametric Statistics Data— Danyu Lin, Th e University of North Organizer(s): Florentina Bunea, Florida State University Carolina at Chapel Hill Chair(s): Florentina Bunea, Florida State University 11:00 a.m. Connections between Bayesian and Conditional ❖ 10:35 a.m. Semiparametric Approaches To Model Inference in Matched Studies— Kenneth Rice, the Survival and Longitudinal Data University of Washington Simultaneously—❖Jane-Ling Wang, University 11:25 a.m. Model-Based Profi le Confi dence Intervals for of California, Davis; Jimin Ding, University of Stratifi ed Contingency Tables—❖Joseph B. Lang, California, Davis; Fushing Hsieh, University of Th e University of Iowa California, Davis 11:50 a.m. Fixed-Effects Models for Longitudinal Binary 11:05 a.m. Semiparametric Models with Data Missing Data with Drop-Outs Missing at Random— by Design and Inverse Probability Weighted ❖Paul Rathouz, Th e University of Chicago Empirical Processes: Partial Results and Open 12:15 p.m. Floor Discussion Problems—❖Jon A. Wellner, University of Washington 399 CC-401 11:35 a.m. Statistical Inference for Variable Importance— ● ❖Mark van der Laan, University of California, Human Perception and Statistical Graphics— Berkeley Invited Section on Statistical Graphics, Section on Statisticians in Defense and 12:05 p.m. Floor Discussion National Security Organizer(s): Naomi B. Robbins, NBR 397 CC-308 Chair(s): Naomi B. Robbins, NBR ● Balanced Sampling—Invited 10:35 a.m. Attention, Consciousness, and Data Display— SSC ❖Ronald A. Rensink, Th e University of British Organizer(s): Pierre Lavallée, Statistics Canada Columbia Chair(s): Pierre Lavallée, Statistics Canada 11:05 a.m. Perception of Scene Spatial Layout and Complex 10:35 a.m. Balanced Sampling by Means of the Cube Visual Displays—❖Aude Oliva, Massachusetts Method—❖Yves Tillé, Université of Neuchâtel Institute of Technology 11:00 a.m. Stochastic Imputation Using Balanced 11:35 a.m. Toward Integrating Perception, Cognition, and Sampling—❖Jean-Claude Deville, CREST/ Visual Statistical Analytics in Quantitative ENSAI Visualization—❖Daniel B. Carr, George Mason 11:25 a.m. Use of Balanced Sampling in the Framework University of the Master Sample for French Household 12:05 p.m. Floor Discussion Surveys—❖Marc Christine, Institut National de la Statistique et des Études Économiques 11:50 a.m. Sampling and Estimation Strategies for the Canadian Unincorporated Business Population— ❖Wisner Jocelyn, Statistics Canada 12:15 p.m. Floor Discussion
196 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
400 CC-400 Invited Panels 10:30 a.m.–12:20 p.m. Wednesday ● ✪ Haplotype Analysis—Invited Section on Risk Analysis, ENAR 402 CC-609 Organizer(s): Ingo Ruczinski, Th e Johns Hopkins University ● Statistical Consulting for Clinical Research— Chair(s): Hua Tang, Fred Hutchinson Cancer Research Center Invited 10:35 a.m. Haplotype Analysis in Related Individuals— Section on Statistical Consulting, Section on Statistical Education ❖Hongyu Zhao, Yale University; Ning Sun, Yale Organizer(s): Jeff Sloan, Mayo Clinic College of Medicine University Chair(s): Joseph Cappelleri, Pfi zer Inc. 11:00 a.m. A Comparison of Haplotype-Based and Tree- Panelists: ❖Jeff Sloan, Mayo Clinic College of Medicine Based SNPs Imputation in Association Studies— ❖ ❖James Y. Dai, University of Washington; Todd Nick, Cincinnati Children’s Hospital Ingo Ruczinski, Th e Johns Hopkins University; Medical Center Michael LeBlanc, Fred Hutchinson Cancer ❖Felicity B. Enders, Mayo Clinic College of Research Center; Charles Kooperberg, Fred Medicine Hutchinson Cancer Research Center ❖Michael Griswold, Th e Johns Hopkins 11:25 a.m. Haplotype and SNP Analyses in Genetic Bloomberg School of Public Health Epidemiology with Application to Longitudinal 12:15 p.m. Floor Discussion Data—❖M. Daniele Fallin, Th e Johns Hopkins Bloomberg School of Public Health; Kelly S. Benke, Th e Johns Hopkins Bloomberg School of Public Health Topic-Contributed Sessions 11:50 a.m. Disc: Nilanjan Chatterjee, National Cancer 10:30 a.m.–12:20 p.m. Institute 12:10 p.m. Floor Discussion 403 CC-612 ● ✪ Statistics for Weather Forecasting I: 401 CC-201 Challenges and Opportunities—Topic- Contributed ● Bayesian Hierarchical Modeling of Exposure Section on Statisticians in Defense and National Security, Section Pathways—Invited on Physical and Engineering Sciences, Section on Statistics and the Section on Statistics and the Environment, Section on Bayesian Statistical Environment Science Organizer(s): Tilmann Gneiting, University of Washington Organizer(s): Noel Cressie, Th e Ohio State University Chair(s): Tilmann Gneiting, University of Washington Chair(s): Noel Cressie, Th e Ohio State University 10:35 a.m. General Introduction to Weather Prediction— 10:35 a.m. Regional Spatial Modeling of Toxic Metals in ❖Cliff ord Mass, University of Washington Various Environmental Media—❖Catherine A. 10:55 a.m. Local Bayesian Model Averaging for Calibrated Calder, Th e Ohio State University Weather Forecast Probabilities—❖Eric Grimit, 11:00 a.m. Characterizing Human Exposure to Toxic Metals University of Washington Using a Bayesian Pathways Model—❖Nancy J. 11:15 a.m. Combining Spatial Statistical and Ensemble McMillan, Battelle Information in Probabilistic Weather Forecasts— 11:25 a.m. Computational Strategies for Fitting and ❖Veronica Berrocal, University of Washington Learning from Complex Bayesian Hierarchical 11:35 a.m. Use of Uncertainty Information in Deterministic Models—❖Peter F. Craigmile, Th e Ohio State Weather Forecasting Decisions—❖Susan Joslyn, University University of Washington 11:50 a.m. Disc: Louise Ryan, Harvard School of Public 11:55 a.m. Disc: Brad Colman, National Oceanic & Health Atmospheric Administration 12:10 p.m. Floor Discussion 12:15 p.m. Floor Discussion
Seattle 197 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
404 CC-2B Australian Bureau of Statistics; Anna Poskitt, Dose-Finding—Topic-Contributed Australian Bureau of Statistics Biopharmaceutical Section, Biometrics Section, ENAR 11:55 a.m. Modeling CPS Labor Force Time Series in Organizer(s): Naitee Ting, Pfi zer Inc. Selected Metropolitan Areas—❖Jennifer Oh, Chair(s): Greg C. G. Wei, Pfi zer Inc. Bureau of Labor Statistics; Richard Tiller, Bureau 10:35 a.m. Hypothesis Testing and Bayesian Estimation of Labor Statistics Applied to Sparse Dose Response Designs— 12:15 p.m. Floor Discussion ❖Neal Th omas 10:55 a.m. Phase I Studies of Chemotherapeutic Agents 406 CC-606 in Cancer Patients: a Review of the Designs— ● ✪ ❖ When Disaster Strikes: Responses from the Douglas Potter, University of Pittsburgh Survey Community—Topic-Contributed 11:15 a.m. Design and Analysis of Dose-Finding Studies Section on Survey Research Methods, Section on Statisticians in Defense Combining Multiple Comparisons and Modeling and National Security ❖ Procedures— Frank Bretz, Novartis Pharma Organizer(s): Rachel Harter, National Opinion Research Center AG; Jose Pinheiro, Novartis Pharmaceuticals Chair(s): David Banks, Duke University Corporation; Bjoern Bornkamp, University of 10:35 a.m. Conducting Surveys When Disasters Strike— Dortmund ❖Rachel Harter, National Opinion Research Center; 11:35 a.m. Optimal Dose Response Studies with Potentially Judith Petty, National Opinion Research Center; ❖ Missing Observations— Weng Kee Wong, Jenny Kelly, National Opinion Research Center University of California, Los Angeles; InYoung 10:55 a.m. On the Use of Survey Methods in Assessing Baek, Stony Brook University; Wei Zhu, Stony Large-Scale Human Rights Violations in Confl ict Brook University Zones: Lessons-Learned from Timor-Leste and 11:55 a.m. Experimental Design for Experiments with Toxicity Sierra Leone—❖Romesh Silva, Human Rights ❖ and Effi cacy Response Functions— Nancy Data Analysis Group; Patrick Ball, Human Rights Flournoy, University of Missouri-Columbia Data Analysis Group 12:15 p.m. Floor Discussion 11:15 a.m. Impact of Gulf Hurricanes on the National Immunization Survey—❖Kirk Wolter, National 405 CC-204 Opinion Research Center; James Singleton, ● Modeling and Adjustment of Economic Time Centers for Disease Control and Prevention Series—Topic-Contributed 11:35 a.m. Local Data Coordination and Dissemination in ❖ Business and Economics Statistics Section Post-Katrina New Orleans— Allison Plyer, Greater Organizer(s): Th omas D. Evans, Bureau of Labor Statistics New Orleans Nonprofi t Knowledge Works Chair(s): Th omas D. Evans, Bureau of Labor Statistics 11:55 a.m. Disc: Alan R. Tupek, U.S. Census Bureau 10:35 a.m. Reference Week Adjustment of Labor Force 12:15 p.m. Floor Discussion Series with X-12-ARIMA—❖Zhao-Guo Chen, Statistics Canada; Th ierno A. Balde, Statistics 407 CC-614 Canada; Benoit Quenneville, Statistics Canada; ● Helen Fung, Statistics Canada Statistical Issues in Diagnostic Devices Including ROC Methods—Topic-Contributed 10:55 a.m. Issues in Identifying Easter Effects in Economic Section on Statistics in Epidemiology, Biometrics Section, ENAR Time Series—❖Kellie Wills, U.S. Census Bureau Organizer(s): R. Lakshmi Vishnuvajjala, U.S. Food and Drug 11:15 a.m. A New Time Series Model for Seasonally Administration Adjusting Economic Data with Trend-Cycle Chair(s): Kyunghee Song, U.S. Food and Drug Administration Movement and Irregular, Sharply Pronounced 10:35 a.m. ROC Graphs for Assessing the Ability of a ❖ Seasonal Fluctuations— Stephanus Arz, Diagnostic Marker To Detect Three Disease Deutsche Bundesbank Classes with an Umbrella Ordering—❖Todd 11:35 a.m. An ARIMA Model–Based Approach To Estimate Alonzo, University of Southern California; Evolving Trading Day Effect—❖Xichuan Zhang, Christos Nakas, University of the Aegean
198 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
10:55 a.m. Random Effects Modeling Approaches for
409 CC-211 Wednesday Estimating ROC Curves from Repeated Ordinal ● ✪ Statistical Phylogenetics—Topic-Contributed ❖ Tests without a Gold Standard— Paul S. Albert, IMS, Biometrics Section, ENAR National Cancer Institute Organizer(s): Bret Larget, University of Wisconsin-Madison 11:15 a.m. Diagnostic Imaging Procedures: Defi ning and Chair(s): Laura S. Kubatko, University of New Mexico Analyzing Test Results To Account for Unknown 10:35 a.m. A Model of AFLP Evolution and Its Use in ❖ Disease Loci— Gene Pennello, U.S. Food and Bayesian Estimation of Phylogenies—❖Ruiyan Drug Administration; Brandon D. Gallas, U.S. Luo, University of Wisconsin-Madison; Bret Food and Drug Administration Larget, University of Wisconsin-Madison 11:35 a.m. A Model-Free Approach to Combining 10:55 a.m. A Random Duplication/Deletion Model in ❖ Diagnostic Markers— Ruth Pfeiff er, National Genome Rearrangement—❖Soowan Sohn, Cancer Institute; Efstathia Bura, Th e George University of Wisconsin-Madison; Bret Larget, Washington University University of Wisconsin-Madison 11:55 a.m. Statistical Issues in Diagnostic Devices Including 11:15 a.m. Spatially Smoothed Change-Point Processes ❖ ROC Methods— R. Lakshmi Vishnuvajjala, U.S. for Phylogenetic Mapping of Recombination Food and Drug Administration Hot Spots—❖Vladimir N. Minin, University 12:15 p.m. Floor Discussion of California, Los Angeles; Marc A. Suchard, University of California, Los Angeles; Karin S. Dorman, Iowa State University; Fang Fang, Iowa 408 CC-605 State University ● Innovative Uses of Longitudinal Panels, Information Documents, and Time-Series 11:35 a.m. Reconstructing Posterior Distributions of a Species Phylogeny Using Estimated Gene Tree Analysis to Study the Impact of the U.S. Tax Distributions—❖Liang Liu, Th e Ohio State System—Topic-Contributed University; Dennis K. Pearl, Th e Ohio State Section on Government Statistics University Organizer(s): Barry Johnson, Internal Revenue Service 11:55 a.m. Reconstructing Evolutionary Trees Using Amino Chair(s): Arthur Kennickell, Federal Reserve Board Acid Substitution Models That Allow Rate 10:35 a.m. Analysis of the Distributions of Income, Taxes, Variation To Depend on Spatial Location— and Payroll Taxes via Cross-Section and Panel ❖Xueliang Pan, Th e Ohio State University; ❖ Data— Th omas Petska, Internal Revenue Dennis K. Pearl, Th e Ohio State University; Service; Michael Strudler, Internal Revenue Liang Liu, Th e Ohio State University; Dennis J. Service; Ryan Petska, Ernst & Young LLP Pollack, Th e Ohio State University 10:55 a.m. Social Security Taxes, Social Security Benefi ts, 12:15 p.m. Floor Discussion and Social Security Benefi ts Taxation: 2002— ❖Peter J. Sailer, Internal Revenue Service; Evgenia Lomize, Internal Revenue Service 410 CC-3B ● ✪ 11:15 a.m. Longitudinal Analysis of the Earned Income Bayesian Spatial Models—Topic-Contributed Tax Credit—❖Karen Masken, Internal Revenue Section on Bayesian Statistical Science Service Organizer(s): Paul Speckman, University of Missouri-Columbia Chair(s): Galin Jones, University of Minnesota 11:35 a.m. The 1999–2003 Individual Income Tax Return Panel: a First Look at the Data—❖Michael 10:35 a.m. Hierarchical Bayes Estimation of Response Rates ❖ Weber, Internal Revenue Service with Spatial Correlations— Xiaoming Gao, Missouri Department of Conservation; Chong 11:55 a.m. Constructing a Panel of Income and Estate He, University of Missouri-Columbia; Dongchu Tax Data for Wealthy Individuals: Creativity Sun, Virginia Polytechnic Institute and State and Compromise—❖Barry Johnson, Internal University/University of Missouri-Columbia Revenue Service; Lisa Schreiber, Internal Revenue Service 12:15 p.m. Floor Discussion
Seattle 199 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
10:55 a.m. Reference Priors for Gaussian Processes with 412 CC-205 Spatial Correlation Structure—❖Mi Hyun Lee, ● Multivariate Control Charts and Other Virginia Polytechnic Institute and State University; Related Topics—Topic-Contributed Dongchu Sun, Virginia Polytechnic Institute and Section on Quality and Productivity, Section on Physical and Engineering State University/University of Missouri-Columbia Sciences 11:15 a.m. Bayesian Spatial-Temporal Smoothing of Cancer Organizer(s): Arthur Yeh, Bowling Green State University Mortality Rates—❖Gentry White, University Chair(s): Jane Chang, Bowling Green State University of Missouri-Columbia; Dongchu Sun, Virginia 10:35 a.m. Single Variables Control Chart: an Overview— Polytechnic Institute and State University/ ❖Smiley Cheng, University of Manitoba; University of Missouri-Columbia; Paul Keoagile Th aga, University of Botswana Speckman, University of Missouri-Columbia 10:55 a.m. Multivariate Process Control for Improving 11:35 a.m. Spatially Adaptive Bayesian Thin-Plate Splines— Detection of Out-of-Control Conditions—❖Amit ❖ Yu Yue, University of Missouri-Columbia Mitra, Auburn University 11:55 a.m. Bayesian Smoothing of Density Estimation 11:15 a.m. The Multivariate Exponentially Weighted ❖ via Hazard Rates— Luyan Dai, University of Moving Average—❖Steve Rigdon, Southern Missouri-Columbia Illinois University; Nicole Munden, University of 12:15 p.m. Floor Discussion Missouri 11:35 a.m. Monitoring Multivariate Process Variability for 411 CC-610 Individual Observations—❖Baiyau Yeh, Bowling Multidimensional Scaling and Manifold Green State University Learning—Topic-Contributed 11:55 a.m. Disc: Herb McGrath, Bowling Green State Section on Statistical Computing, IMS, Section on Statisticians in Defense University and National Security 12:15 p.m. Floor Discussion Organizer(s): Michael W. Trosset, Th e College of William & Mary Chair(s): David W. Scott, Rice University 10:35 a.m. Parametric Mapping (PARAMAP): an Approach to Topic-Contributed Panels ❖ Nonlinear Mapping— Ulas Akkucuk, Bogazici 10:30 a.m.–12:20 p.m. University 10:55 a.m. Metric MDS to Surfaces—❖David Johannsen, Naval Surface Warfare Center; Jeff rey L. Solka, 413 CC-206 Naval Surface Warfare Center ● Assessing Student Retention of Essential 11:15 a.m. Local Multidimensional Scaling: a Nonlinear Statistical Concepts, Issues, and Topics—Topic- Dimension Reduction Method for Data Contributed Visualization—❖Lisha Chen, University of Section on Statistical Education Pennsylvania; Andreas Buja, University of Organizer(s): Mark L. Berenson, Montclair State University Pennsylvania Chair(s): Mark L. Berenson, Montclair State University 11:35 a.m. Classical Multidimensional Scaling and Laplacian Panelists: ❖Leonard Gaines, Empire State Development Eigenmaps—❖Michael W. Trosset, Th e College ❖Albyn Jones, Reed College of William & Mary ❖Deborah Rumsey, Th e Ohio State University 11:55 a.m. Manifold Learning and Dimensionality Reduction ❖Jessica Utts, University of California, Davis for Classifi cation—❖Alfred Hero, University of ❖Karen Kinard, Tallahassee Community College Michigan; Raviv Raich, University of Michigan; Jose Costa, California Institute of Technology 12:15 p.m. Floor Discussion 12:15 p.m. Floor Discussion
200 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
10:50 a.m. Precision of Compositional Data in a Stratifi ed Regular Contributed Sessions Wednesday Two-Stage Cluster Sample: Comparison of the 10:30 a.m.–12:20 p.m. Swiss Earnings Structure Survey 2002 and 2004— ❖Monique Graf, Swiss Federal Statistical Offi ce 414 CC-602 11:05 a.m. Independent School Survey Coverage Study— ● Unit Nonresponse in Surveys III—Contributed ❖Dedrick Owens, U.S. Census Bureau Section on Survey Research Methods 11:20 a.m. Cluster Analysis for Outlier Detection and Its Chair(s): Barbara L. Carlson, Mathematica Policy Research, Inc. Application in a Large-Scale Survey—❖Jianqiang 10:35 a.m. A Comparison of a Model-Assisted Estimator Wang, Iowa State University; Jean D. Opsomer, and a Model-Based Estimator under Ignorable Iowa State University ❖ and Nonignorable Nonresponse— Jill A. 11:35 a.m. Using Evaluations To Plan and Integrate Dever, University of Maryland; Richard Valliant, Survey Programs—❖Shawna Waugh, Energy University of Michigan Information Administration 10:50 a.m. Modeling Nonresponse Adjustment Factors— 11:50 a.m. Modeling Nonsampling Errors in Agricultural ❖ Hee-Choon Shin, National Opinion Research Surveys—❖James Gentle, George Mason Center University; Charles R. Perry, National 11:05 a.m. Use of Propensity Scores To Estimate and Adjust Agricultural Statistics Service; William Wigton, Nonresponse Bias in Complex Surveys—❖Leigh National Agricultural Statistics Service Harrod, Oregon State University; Virginia M. 12:05 p.m. Interviewer Burden and Its Effects on Data Lesser, Oregon State University Quality in the Swedish Part of the European 11:20 a.m. Are Refusal Conversions Different from Willing Social Survey (ESS)—❖Lilli Japec, Statistics Respondents on Demographic, Cardiovascular, Sweden and Sensitive Items? National Health and Nutrition Examination Survey, 1999–2002— ❖Margaret Carroll, National Center for Health 416 CC-3A Statistics; Yinong Chong, National Center for Nonparametric Bayesian Methods—Contributed Health Statistics Section on Bayesian Statistical Science, Section on Nonparametric Statistics 11:35 a.m. Response Process Models for Unit Nonresponse Chair(s): Fabrizio Ruggeri, CNR-IMATI Adjustment—❖Courtney Kies-Bokenkroger, 10:35 a.m. Bayesian Analysis for Quantile Regression of Iowa State University; Sarah M. Nusser, Iowa Correlated Data—❖Chin-Hua Wang, Family State University Health International; Pai-Lien Chen, Family 11:50 a.m. A Nonresponse Bias Analysis To Inform the Use Health International of Incentives in Multistage Telephone Surveys— 10:50 a.m. Sequentially Allocated Merge-Split Sampler for ❖Benjamin Skalland, National Opinion Research Conjugate and Nonconjugate Dirichlet Process Center; Kirk Wolter, National Opinion Research Mixture Models—❖David Dahl, Texas A&M Center; Hee-Choon Shin, National Opinion University Research Center; Stephen Blumberg, National 11:05 a.m. Fast Nonparametric Bayes Testing of Distribution Center for Health Statistics Changes in Large Datasets—❖Michael Pennell, 12:05 p.m. Floor Discussion National Institute of Environmental Health Sciences; David B. Dunson, National Institute of Environmental Health Sciences 415 CC-603 11:20 a.m. On the Random Functional of the Ferguson- ● Sample Survey Quality V—Contributed Dirichlet Process—❖Th omas J. M. Jiang, Section on Survey Research Methods National Chengchi University; Kun-Lin Kuo, Chair(s): Mary March, Statistics Canada National Chengchi University 10:35 a.m. Effi ciently Limiting Census Errors When Quality 11:35 a.m. Bayesian Circular Regression—❖Barbara Jane ❖ Control Parameters Range Freely— Glenn George, U.S. Environmental Protection Agency; Wolfgang, U.S. Census Bureau Kaushik Ghosh, New Jersey Institute of Technology
Seattle 201 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
11:50 a.m. Nonparametric Bayesian Bootstrap in ROC Curve 418 CC-613 Study—❖Jiezhun Gu, North Carolina State ● ✪ Bioinformatics—Contributed University; Subhashis Ghosal, North Carolina Section on Statistical Computing, Biometrics Section, ENAR State University Chair(s): Jie Ding, GlaxoSmithKline 12:05 p.m. Floor Discussion 10:35 a.m. Linker DNA Length Preference in Human Chromatin Revealed by a Two-State Duration 417 CC-604 Hidden Markov Model—❖Guei-Feng Tsai, ● Combining Information, Missing Data, and Northwestern University; Ji-Ping Wang, Hierarchical Bayesian Methods for Health Northwestern University; Jonathan Widom, Northwestern University Outcomes Data—Contributed 10:50 a.m. A Systematic Benchmark of Dimension Section on Health Policy Statistics, Biometrics Section, Section on Bayesian Statistical Science, ENAR Reduction in Remote Homology Detection with ❖ Chair(s): Christopher Schmid, Tufts-New England Medical Center Support Vector Machines— Melissa M. Matzke, Pacifi c Northwest National Laboratory; Bobbie- 10:35 a.m. Imputation and Forecasting for State Jo Webb-Robertson, Pacifi c Northwest National Mortality—❖Guanhua Lu, University of Laboratory; Christopher S. Oehmen, Pacifi c Maryland/National Center for Health Statistics; Northwest National Laboratory; Jorge F. Reyes Benjamin Kedem, University of Maryland; Rong Spindola, Pacifi c Northwest National Laboratory Wei, National Center for Health Statistics 11:05 a.m. Using Microarray Gene-Coexpression Networks 10:50 a.m. The Impact of Using Different Imputation To Increase Gene Screening Validation Success Methods for Missing Quality-of-Life Scores and To Build Accurate Classifi ers—❖Wei Zhao, on the Estimation of the Cost-Effectiveness University of California, Los Angeles; Steve of Lung Volume Reduction Surgery—❖David Horvath, University of California, Los Angeles; Blough, University of Washington; Sean Sullivan, Paul Mischel, University of California, Los University of Washington; Scott Ramsey, Fred Angeles; Aldons J. Lusis, University of California, Hutchinson Cancer Research Center; Roger Los Angeles; Stanley Nelson, University of Yusen, Washington University School of California, Los Angeles Medicine 11:20 a.m. ANOVA Model-Based Pattern Recognition 11:05 a.m. Combining Information from Various Data Technique—❖Yushu Liu, University of Sources To Improve Analyses of Adjuvant Cancer Kentucky; R. Lakshman Chelvarajan, University Therapies—❖Yulei He, Harvard Medical School; of Kentucky; Th omas Getchell, University of Alan M. Zaslavsky, Harvard Medical School Kentucky; Subbarao Bondada, University of 11:20 a.m. Do Teenagers Always Tell the Truth? Bayesian Kentucky; Arnold J. Stromberg, University of Methods To Estimate the Prevalence of Kentucky Adolescent Risk Behaviors from Self-Report— 11:35 a.m. Canonical Parallel View and Adjustment for the ❖Janet Rosenbaum, Harvard University Difference between Paired High-Dimensional 11:35 a.m. Bayesian Simultaneous Intervals for Small Areas: Datasets—❖Xuxin Liu, Th e University of North ❖ an Application to Variation in Maps— Erik B. Carolina at Chapel Hill Erhardt, University of New Mexico; Balgobin 11:50 a.m. ProMAT: Protein Microarray Analysis Tool— Nandram, Worcester Polytechnic Institute; Jai ❖Amanda M. White, Pacifi c Northwest National Choi, National Center for Health Statistics Laboratory; Don S. Daly, Pacifi c Northwest 11:50 a.m. Spatial Statistical Methods for Small-Area National Laboratory; Susan S. Varnum, Health Data with Application to the Association Pacifi c Northwest National Laboratory; Kevin of Breast Cancer Incidence and Local Power K. Anderson, Pacifi c Northwest National ❖ Plant Emissions— Heather Watson, New Laboratory; Nikki Bollinger, Pacifi c Northwest York University; Judith D. Goldberg, New York National Laboratory; Rachel M. Gonzalez, University School of Medicine; Mengling Liu, Pacifi c Northwest National Laboratory; New York University School of Medicine Richard C. Zangar, Pacifi c Northwest National 12:05 p.m. Floor Discussion Laboratory
202 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
12:05 p.m. Uncertainty in Clustering Posterior Distributions of Southern Methodist University; Henry L. Gray, Gene Expression Levels Using MCMC Samples— Southern Methodist University Wednesday ❖Tanzy Love, Carnegie Mellon University 10:50 a.m. Nonparametric Kernel Estimates of Autocorrelation Structure from Single-Molecule 419 CC-309 Experimental Data—❖Tingting Zhang, Harvard ● Nonparametric Statistics with Censored University; Samuel Kou, Harvard University Data—Contributed 11:05 a.m. Exploring Statistical Correlations among Section on Nonparametric Statistics, ENAR Nonlinear Time Series/Signals—❖Carolyn Chair(s): Sarah Baraniuk, Th e University of Texas School of Public Health Morgan, Hampton University; Morris H. 10:35 a.m. Nonparametric Signifi cance Tests for Sums Morgan, Hampton University of Censored Random Variables—❖Golde 11:20 a.m. Wavelet Variance Analysis for Random Fields— Holtzman, Virginia Polytechnic Institute ❖Debashis Mondal, University of Washington; and State University; Carl E. Zipper, Virginia Donald B. Percival, University of Washington Polytechnic Institute and State University 11:35 a.m. Wavelet-Based Estimation of Linear Regression 10:50 a.m. Nonparametric Tests for Covariate Effects Models with Two Errors: a Long Memory and with Multistate Survival Data—❖Limin Peng, a White Noise—❖Kyungduk Ko, Boise State Emory University; Jason P. Fine, University of University Wisconsin-Madison 11:50 a.m. Calibrating OLS Estimators in Linear Regression 11:05 a.m. Estimation for Two-Sample, Location-Scale with Long Memory Error—❖Jaechoul Lee, Boise Models under Type I Censorship—❖Xuewen Lu, State University; Kyungduk Ko, Boise State University of Calgary University 11:20 a.m. Nonparametric Maximum Likelihood Estimation 12:05 p.m. On Improved Estimation in Linear Regression of Hazard Function under Shape Restrictions— with Long Memory Errors—❖Mohamedou Ould ❖Desale Habtzghi, University of Georgia; Mary Haye, Carleton University; A. K. Saleh, Carleton Meyer, University of Georgia; Somnath Datta, University University of Louisville 11:35 a.m. Inference on the Quantile Function under ❖ 421 CC-615 Left Truncation and Right Censoring— Sana ● QTL Analysis and Mapping—Contributed Buhamra, Kuwait University; Noriah Al-Kandari, Biometrics Section Kuwait University Chair(s): Haiyan Wang, Kansas State University 11:50 a.m. Empirical Likelihood Method for Heteroscedastic 10:35 a.m. Strategies for Fine Mapping of QTL in Complex Linear Model—❖Hua Zhu, University of Pedigrees Using Combined Linkage and Kentucky; Mi-Ok Kim, University of Kentucky; Linkage Disequilibrium Method—❖Natascha Mai Zhou, University of Kentucky Vukasinovic, Monsanto Company; Fengxing Du, 12:05 p.m. Empirical Likelihood and Marginal Confi dence Monsanto Company Interval—❖Mi-Ok Kim, University of Kentucky 10:50 a.m. A New Statistical Model for Dissecting the Genetic Basis of Heterosis through Multiple Interval 420 CC-310 Mapping (MIM) in Design III Populations— Time Series and Temporal Correlation with ❖Antonio A. F. Garcia, Escola Superior de Regression Applications—Contributed Agricultura “Luis de Queiroz”; Zhao-Bang Zeng, Section on Physical and Engineering Sciences, Section on Statistics and the Bioinformatics Research Center Environment 11:05 a.m. A Semiparametric Approach for Functional Genetic Chair(s): Stephan Sain, University of Colorado at Denver and Health Mapping of Long-Term HIV Dynamics—❖Song Sciences Center Wu, University of Florida; Jie Yang, University of 10:35 a.m. Spectral Analysis of Nonstationary Time Series Florida; Rongling Wu, University of Florida with Piece-Wise Monotonic Time-Varying 11:20 a.m. A Semiparametric Approach to K Mixtures ❖ Frequencies— Md. Jobayer Hossain, Southern of Two Components with Application to the Methodist University; Wayne A. Woodward,
Seattle 203 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
Mapping of Quantitative Trait Loci—❖Shiju 423 CC-619 Zhang, Th e University of Toledo; Biao Zhang, ● Binary Data—Contributed Th e University of Toledo; Grier P. Page, Th e Biopharmaceutical Section, Biometrics Section, ENAR University of Alabama at Birmingham Chair(s): Keith Soper, Merck & Co., Inc. 11:35 a.m. Functional Mapping of Time-Warped 10:35 a.m. A Multiplicative Heteroscedasticity Model Developmental Trajectories Based on B- for Clustered Binary Data—❖Mitchell Rosen, ❖ Splines— Xueli Liu, University of Florida; Omnicare Clinical Research Rongling Wu, University of Florida 10:50 a.m. Design and Analysis of Active Control 11:50 a.m. Combining QTL Analysis and Bayesian Network Noninferiority Trials with Binary Data— Discovery Methods To Determine Genetic ❖Yu-Yun Ho, Johnson & Johnson Relationships in a Micorarray/Marker Dataset— Pharmaceutical R&D; Sudhakar Rao, Johnson ❖ Christine W. Duarte, North Carolina State & Johnson Pharmaceutical R&D; George Chi, University; Zhao-Bang Zeng, Bioinformatics Johnson & Johnson Pharmaceutical R&D Research Center 11:05 a.m. A Note on Sample Size Re-estimation with 12:05 p.m. A Statistical Approach for Genome-Wide Scan Interim Binary Data for Double-Blind Clinical and Testing Imprinted Quantitative Trait Loci— Trials—❖Xiaohui Luo, Merck & Co., Inc.; ❖ Yuehua Cui, Michigan State University Peng-Liang Zhao, Kyowa Pharmaceutical, Inc. 11:20 a.m. More Powerful Analyses of Stratifi ed 422 CC-617 NonInferiority Trials with Binary Endpoints— ● The Cox Model and Methods for Recurrent ❖Devan V. Mehrotra, Merck Research Events—Contributed Laboratories; William W. B. Wang, Merck Biometrics Section, ENAR Research Laboratories Chair(s): Huichao Chen, Emory University 11:35 a.m. Estimation of Multiple Response Rates in Clinical ❖ 10:35 a.m. Methods To Distinguish between the Cox and Trials with Missing Observations— Myron Aalen’s Model for Right-Censored Data— Chang, University of Florida ❖Yinghua Zhang, Medical College of Wisconsin; 11:50 a.m. Choice of Working Correlation Structure for a John Klein, Medical College of Wisconsin GEE-Based Analysis of Incomplete Longitudinal ❖ 10:50 a.m. Asymptotic Theory for the Proportional Hazards Binary Data— Priya Kulkarni, Merck Research Model with Random Effects—Anthony C. Gamst, Laboratories; Devan V. Mehrotra, Merck University of California, San Diego; ❖Michael Research Laboratories; Xiaoming Li, Novartis Donohue, University of California, San Diego; Pharmaceuticals Corporation Ronghui Xu, University of California, San Diego 12:05 p.m. Constructing Better Binomial Confi dence 11:05 a.m. Comparing Two Crossing Hazard Rates by Cox Intervals by Remembering Three Lessons from ❖ Proportional Hazards Modeling—❖Kejian Normal Data— Craig Borkowf, Centers for Liu, Novartis Pharmaceuticals Corporation; Disease Control and Prevention Peihua Qiu, University of Minnesota; Jun Sheng, University of Minnesota 424 CC-620 11:20 a.m. Robust Method for Analyzing Recurrent Events ● Missing Data—Contributed Data in the Presence of Terminal Events— Biopharmaceutical Section, Biometrics Section ❖ Rajeshwari Sundaram, Th e University of North Chair(s): Soomin Park, Eli Lilly and Company Carolina at Charlotte 10:35 a.m. Statistical Methods To Analyze Incomplete 11:35 a.m. Estimation of Gap-Time Distribution with Clinical Trial Data—❖Ohidul Siddiqui, U.S. Food Recurrent Event Data under an Informative and Drug Administration Monitoring Period—❖ Akim Adekpedjou, 10:50 a.m. Mixed Model: an Alternative to LOCF as Primary University of South Carolina; Edsel A. Peña, Analysis—❖Cunshan Wang, Pfi zer Inc.; Naitee University of South Carolina Ting, Pfi zer Inc.; Greg C. G. Wei, Pfi zer Inc. 11:50 a.m. Floor Discussion
204 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
11:05 a.m. Estimating Treatment Effect in Clinical Trials with Santiago de Compostela ; ❖Daniel Peña, Wednesday Disease-Dependant Noncompliance—❖Kuenhi Universidad Carlos III de Madrid; Ruey S. Tsay, Tsai, Vertex Pharmaceuticals Incorporated; Th e University of Chicago Peter Westfall, Texas Tech University; Stephan 12:05 p.m. Longitudinal Microdata Outlier Detection Ogenstad, Vertex Pharmaceuticals Incorporated; Techniques—❖Eric Simants, Bureau of Labor Miles Dunn, Vertex Pharmaceuticals Statistics Incorporated 11:20 a.m. Variability in Visit Times in Clinical Trials and the Implications for a Common Mixed Model 426 CC-616 ● for Repeated Measures—❖Tristan Massie, U.S. Modeling of Genetic Data—Contributed Food and Drug Administration Biometrics Section, ENAR 11:35 a.m. Using Stochastic Differential Equations for Chair(s): Yi He, University of Minnesota Imputation of Missing Values in Longitudinal 10:35 a.m. Likelihood of a Particular Order of Genetic Clinical Data—❖Naum Khutoryansky, Novo Markers and the Construction of Genetic ❖ Nordisk Maps— Susanta Tewari, University of Georgia ❖ 11:50 a.m. What Is a Suitable Defi nition of Study 10:50 a.m. Estimating Population Structure— Suvajit Information in Longitudinal Clinical Trials?— Samanta, North Carolina State University; Bruce ❖Guoguang Ma, Merck & Co., Inc.; Michael S. Weir, University of Washington Nessly, Merck Research Laboratories 11:05 a.m. Inference of Dynamic Activity of Transcriptional ❖ 12:05 p.m. A Local Infl uence Sensitivity Analysis for Modules— Ron Yu, University of California, Incomplete Longitudinal Depression Data— San Diego; Jie Liu, University of California, San ❖Shuyi Shen, Eli Lilly and Company; Caroline Diego; Wei Wang, University of California, San Beucnkens, Limburgs Universitair Centrum; Diego Craig Mallinckrodt, Eli Lilly and Company; 11:20 a.m. Performance of Phylo-HMM for Evolutionary Geert Molenberghs, Limburgs Universitair Conserved Element Detection in Promoter Centrum Region—❖Xiaodan Fan, Harvard University; Jun Liu, Harvard University 11:35 a.m. A Mixture Model Approach in Analyzing 425 CC-203 ❖ ● Time Series Outliers and Filters—Contributed Genotype-Phenotype Association— Jason Robarge, Indiana University School of Medicine; Business and Economics Statistics Section Lang Li, Indiana University; David Flockhart, Chair(s): Moon Jung Cho, Bureau of Labor Statistics Indiana University School of Medicine 10:35 a.m. Forecasting and Dynamic Updating of Time 11:50 a.m. On the Detection of DNA Copy Number Series of Curves—❖Haipeng Shen, Th e Changes—❖Jie Chen, University of Missouri- University of North Carolina at Chapel Hill; Kansas City; Yu-Ping Wang, University of Jianhua Z. Huang, Texas A&M University Missouri-Kansas City 10:50 a.m. Tests for Changing Mean with Monotonic 12:05 p.m. Including Current Ages in Aggregation and Power—❖Ted Juhl, Th e University of Kansas Linkage Analysis of Longevity—❖Jeanine 11:05 a.m. Some Ruin Problems with the Mixture Houwing-Duistermaat, Leiden University ❖ Distribution— Min Deng, Maryville University Medical Center; Andrea Callegaro, Leiden 11:20 a.m. An Asymmetric Information Modeling University Medical Center; Marian Beekman, Framework for Ultra-High-Frequency Transaction Leiden University Medical Center; Rudi Data: a Nonlinear Filtering Approach— Westendorp, Leiden University Medical ❖Yoonjung Lee, Harvard University Center; Eline Slagboom, Leiden University 11:35 a.m. Variance Change in Time Series ARIMA Models— Medical Center; Hans van Houwelingen, Leiden ❖Dongping Fang, SPSS Inc. University Medical Center 11:50 a.m. Outlier Detection in Multiple Time Series by Projection Pursuit—Galeano Pedro, Universidad
Seattle 205 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
427 CC-618 11:35 a.m. Measuring Deviations from Hardy Weinberg ● Statistical Methods in Genetics—Contributed Equilibrium in SNP Data—❖Vernon S. Pankratz, Biometrics Section, ENAR Mayo Clinic College of Medicine; Robert Chair(s): Tracy Bergemann, University of Minnesota Vierkant, Mayo Clinic College of Medicine 10:35 a.m. Regional Admixture Mapping and Structured 11:50 a.m. An Algorithm for Finite Markov Chain Imbedding ❖ Association Testing: Conceptual Unifi cation Approach— Lung-An Li, Academia Sinica Using a General Linear Model—❖David Redden, 12:15 p.m. Floor Discussion Th e University of Alabama at Birmingham; Jasmin Divers, Th e University of Alabama at Birmingham; Kelly Vaughan, Th e University Regular Contributed Posters of Alabama at Birmingham; Hemant Tiwari, Th e University of Alabama at Birmingham; 10:30 a.m.–12:20 p.m. Mark Beasley, Th e University of Alabama at Birmingham; Jose R. Fernandez, Th e University 428 CC-Level 6 East Lobby of Alabama at Birmingham; Robert Kimberly, Contributed Posters—Contributed Th e University of Alabama at Birmingham; Rui General Methodology, Section on Bayesian Statistical Science, Section Feng, Th e University of Alabama at Birmingham; on Statistics in Epidemiology, Biometrics Section, Section on Statistical Miguel Padilla, Th e University of Alabama Computing, Section on Health Policy Statistics, Section on Physical and at Birmingham; Nianjun Liu, Th e University Engineering Sciences, IMS, Section on Quality and Productivity of Alabama at Birmingham; Michael Miller, Organizer(s): Maura E. Stokes, SAS Institute, Inc. University of Minnesota; David B. Allison, Th e Chair(s): Maura E. Stokes, SAS Institute, Inc. University of Alabama at Birmingham Bayesian statistics, hierarchical models 10:50 a.m. Data Normalization of Stable-Isotope Labeled 01 The Relative Contribution Measures in Multilevel ❖ Peptides in Mass Spectrometry— Douglas Modeling—❖Liyi Cen, University of Pennsylvania; Mahoney, Mayo Clinic College of Medicine; Zhen Chen, University of Pennsylvania; Daniel E. Ann L. Oberg, Mayo Clinic College of Medicine; Polsky, University of Pennsylvania; Kevin G. Volpp, Jeanette E. Eckel-Passow, Mayo Clinic College University of Pennsylvania of Medicine; Terry M. Th erneau, Mayo Clinic 02 Uncertainty Computation for the Virtual Cement College of Medicine; Suresh T. Chari, Mayo and Concrete Testing Laboratory Measurements— Clinic College of Medicine; Unnikrishnan ❖Blaza Toman, National Institute of Standards and Gopinathan, Mayo Clinic College of Medicine; Technology; Charles Hagwood, National Institute Lawrence E. Ward, Mayo Clinic College of of Standards and Technology; Adriana Hornikova, Medicine; Xuan-Mai T. Persson, Mayo Clinic National Institute of Standards and Technology; College of Medicine; Sreekumar Raghavakaimal, Hung-kung Liu, National Institute of Standards and Mayo Clinic College of Medicine Technology; Nien Fan Zhang, National Institute of 11:05 a.m. A Genome-Wide Study on Transcriptional Standards and Technology Regulation of Protein Complex in Saccharomyces 03 Alternative Methods for Variable Selection in Cerevisiae—❖Ching-Ti Liu, University of Generalized Linear Models with Binary Outcomes for California, Los Angeles; Shinsheng Yuan, Incomplete Data—❖Gang Liu, University of California, University of California, Los Angeles; Ker-Chau Los Angeles Li, University of California, Los Angeles 04 Analysis in Opinions about the Death Penalty in U.S. 11:20 a.m. Comparative Validity and Power of Methods for States—❖Shouhao Zhou, Columbia University; Association-Testing with Related Individuals— Andrew Gelman, Columbia University ❖Hemant Tiwari, Th e University of Alabama ❖ at Birmingham; Amit Patki, Th e University 05 Join-Point Analysis of Survival Data— Sandra of Alabama at Birmingham; Mark Beasley, Hurtado Rua, Northern Illinois University; Sanjib Basu, Th e University of Alabama at Birmingham; Northern Illinois University David B. Allison, Th e University of Alabama at Biometrics, biostatistics, epidemiology Birmingham 06 Design-Based Calibration Estimators for Measurement
206 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
Error in the Cox Model—❖Th omas Lumley, University Health Sciences Center; David M. Th ompson, Th e Wednesday of Washington; Pam Shaw, University of Washington University of Oklahoma 07 ROC Curve Analysis in Osteoporosis Screening— 16 Repeated Measurement of Gastric Myoelectric ❖James Powers, Th e University of North Carolina at Activity in Obese Participants—❖Jiangyue Wang, Th e Chapel Hill; Margaret Gourlay, Th e University of North Pennsylvania State University Carolina at Chapel Hill; Kristine Ensrud, VA Medical 17 Salamander Cannibalism—❖Jean Ellis, California Center State University, East Bay; Erica Wildy, California State 08 A Soft Endpoint for HIV-1Ba-l Growth in Cervical, University, East Bay Rectal, and Tonsular in vitro Assays—❖Sandra 18 Determining an Optimal Exposure Metric from a Senneke, BioStat Solutions Inc.; Nicola Richardson- Bivariate Distribution of Asbestos Exposures (Length, Harman, BioStat Solutions Inc.; James Cummins, Diameter) in a Cohort of South Carolina Textile Southern Research Institute; Carol Lackman-Smith, Workers—❖Stephen Gilbert, National Institute for Southern Research Institute; Christina Bromley, Occupational Safety and Health; Leslie T. Stayner, BioStat Solutions Inc.; Patricia Reichelderfer, National University of Illinois at Chicago; Eileen D. Kuempel, Institute of Child Health & Human Development National Institute for Occupational Safety and Health; 09 Feasibility of Genome-Wide Haplotype Association John D. Dement, Duke University Medical Center Studies with Small Sample Size and Sparsely Spaced 19 Analysis of Respiratory Viral Exposure and Timing SNPs—❖Shaokun Chuai, University of Pennsylvania; of Exposure During Infancy with Development of Nandita Mitra, University of Pennsylvania; Nathan Childhood Asthma—❖Pingsheng Wu, Vanderbilt Ellis, Th e University of Chicago University School of Medicine; Tebeb Gebretsadik, 10 Bayesian State-Space Models for Predicting Temporal Vanderbilt University School of Medicine; William Gene Expression Profi les—❖Yulan Liang, University at Dupont, Vanderbilt University School of Medicine; Buff alo; Arpad Kelemen, Niagara University Marie Griffi n, Vanderbilt University School of 11 Handling Missing Data for Smoking Cessation with Medicine; Rachel Enriquez, Vanderbilt University Bootstrap, Trees, and Multiple Imputation—❖Jeff School of Medicine; Kecia Carroll, Vanderbilt Th ostenson, University of Arkansas for Medical University School of Medicine; Tina Hartert, Vanderbilt Sciences; Lowell C. Dale, Mayo Clinic College of University School of Medicine Medicine; Darrell Schroeder, Mayo Clinic College of 20 Evaluating the Predictiveness of a Continuous Marker Medicine; Heike Hofmann, Iowa State University in Case-Control Design—❖Ying Huang, University 12 Analysis of Longitudinal Case-Control Zero-Heavy of Washington; Margaret S. Pepe, Fred Hutchinson Data: Vaginal Shedding of HIV—❖Leann Myers, Cancer Research Center/University of Washington Tulane University; Hao He, Tulane University; Patricia 21 Variable Selection in the Multivariate Adaptive Kissinger, Tulane University Regression Splines (MARS)-Logit Models To Detect ❖ 13 SAS Estimation of Standard Errors for Partial Least Gene-Gene Interactions— Huiyi Lin, Louisiana State Squares Regression—❖April Grant, University of University Health Sciences Center; Cruz Velasco, Arkansas for Medical Sciences; David K. Williams, Louisiana State University Health Sciences Center; University of Arkansas for Medical Sciences; Zoran Jennifer J. Hu, Louisiana State University Health Bursac, University of Arkansas for Medical Sciences; Sciences Center Geoff rey M. Curran, University of Arkansas for 22 A Comparison of Three Categorical Data Analysis Medical Sciences Methods Applied to Survey Data—❖Barbara Neas, 14 Assessment of Capture-Recapture Methods in Th e University of Oklahoma Health Sciences Center; Estimating Populations of Oklahomans with Birth Hani Dimassi, Th e University of Oklahoma Health Defects—❖Robert C. Wild, Th e University of Sciences Center; David M. Th ompson, Th e University Oklahoma Health Sciences Center; Barbara Neas, Th e of Oklahoma; Betty J. Pfeff erbaum, Th e University of University of Oklahoma Health Sciences Center Oklahoma Health Sciences Center 15 Comparing Methods of Examining Trend Data for a 23 Discrete Time Analysis of Mortality among Persons ❖ Large Population—❖Kristen Eberly, Th e University of with Diabetes Using the Logit Model— Edward Oklahoma; Barbara Neas, Th e University of Oklahoma Tierney, Centers for Disease Control and Prevention
Seattle 207 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
Bootstrap, resampling methods in the Multiple Comparison Problems Involving 24 Permutation Test and Its Application to the Youth Multiple Endpoint Tests in Clinical Trials—❖Arunava Partners in Care (YPIC) Study—❖Lingqi Tang, Chakravartty, University of California, Riverside University of California, Los Angeles; Naihua Duan, WL10 Bayesian Approaches to Clinical Trials—❖Dinesh Kumar, University of California, Los Angeles; Joan Asarnow, Eisai Medical Research University of California, Los Angeles WL11 How Can Statisticians Better Contribute to Clinical Trials 25 Comparison of Resampling Methods to Least and Intervention Studies in Developing Countries?— Squares and Maximum Likelihood Methods for ❖Craig Borkowf, Centers for Disease Control and Estimating Fracture Strength Parameters of Glass Prevention ❖ Test Specimens— Gerald Shaughnessy, University of WL12 Use of Propensity Scoring in Clinical Trials—❖Daniel P. Dayton; Peter Hovey, University of Dayton Reyner, Zimmer, Inc. ❖ 26 Stepwise Permutation Tests Using Medians— Scott WL13 Increasing the Usage of Data from Cross-Over Studies— Richter, Th e University of North Carolina at Greensboro; ❖Yonghua Wang, Bristol-Myers Squibb Company Melinda McCann, Oklahoma State University WL14 Statistical Methods for Optimization of Development 27 Resampling Methods in Asymptotic Statistical of Combination Products—❖Timothy Montague, ❖ Inferences— Fassil Nebebe, Concordia University; GlaxoSmithKline Tak K. Mak, Concordia University WL15 How To Explain Complex Statistical Methods to Life Neuroscience, brain imaging Scientists—❖Vadim Kutsyy, Cytokinetics, Inc. 28 Surface Shape Analysis with an Application to WL16 R-Based Data Analysis and Graphics Applications for Brain Cortical Surface Analysis in Schizophrenia— Scientists: Moving beyond Excel—❖Bert Gunter, ❖ Christopher Brignell, University of Nottingham; Ian Genentech, Inc. Dryden, University of Nottingham; William Browne, WL17 Translational Medicine: from R to D and from D to R— University of Nottingham ❖Chi-Hse Teng, Pfi zer Inc.; Patricia English, Pfi zer Inc. WL18 Proof-of-Concept Studies—❖Robert Smith, Bristol- Speaker Luncheon 12:30 p.m.–1:50 p.m. Myers Squibb Company WL19 Sensitivity Analysis for Missing Data in Clinical Trials— 429 CC-4C-1 ❖Jie Zhang, Novartis Pharmaceuticals Corporation Health Policy Statistics Speaker with Lunch (fee WL20 Analysis of Cell-Based, High-Content Imaging Data— event)—Speaker with Lunch ❖Shuguang Huang, Eli Lilly and Company Section on Health Policy Statistics WL21 Interval Censored Time-to-Event Data: Examples, Analyses, Organizer(s): Bonnie Ghosh-Dastidar, RAND Corporation and Assumptions—❖Daohai Yu, Duke University WL08 Mapping and Applications in Spatio-Temporal Public Health Data—❖Bradley P. Carlin, University of Minnesota 431 CC-4C-2 Business and Economics Statistics Section Roundtable with Lunch (fee event) Roundtables with Lunch Business and Economics Statistics Section 12:30 p.m.–1:50 p.m. Organizer(s): David Dickey, North Carolina State University WL22 Economic Aspects of Alternative Energy—❖Margaret F. 430 CC-4C-2 Land, TeXas Environmental Studies and Analysis, LLC Biopharmaceutical Section Roundtables with Lunch (fee event) Biopharmaceutical Section, Section on Statistical Consulting, Section on Statistical Graphics Organizer(s): Amit Bhattacharyya, GlaxoSmithKIine WL09 Procedures for Controlling the False Discovery Rate
208 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
432 CC-4C-2 437 CC-4C-3 Wednesday Section on Statistical Computing Roundtables Section on Government Statistics Roundtable with Lunch (fee event) with Lunch (fee event) Section on Statistical Computing Section on Government Statistics Organizer(s): Edward Wegman, George Mason University Organizer(s): Roberta Sangster, Bureau of Labor Statistics WL23 S-PLUS and R: Working Together?—❖Tim C. WL29 Journal of Empirical Research on Human Research Hesterberg, Insightful Corporation Ethics—❖Joan E. Sieber, California State University, East Bay 433 CC-4C-3 Section on Statistical Consulting Roundtable 438 CC-4C-3 with Lunch (fee event) Section on Statistical Graphics Roundtable with Section on Statistical Consulting Lunch (fee event) Organizer(s): Phillip Chapman, Colorado State University Section on Statistical Graphics WL24 Statistical Consulting in (and around) the Bayesian Organizer(s): Simon Urbanek, AT&T Labs-Research Paradigm—❖Alix Gitelman, Oregon State University WL30 Biostatistical Graphics: Large, Weak Datasets—❖Th omas Lumley, University of Washington 434 CC-4C-3 Section on Statisticians in Defense and National 439 CC-4C-3 Security Roundtable with Lunch (fee event) Section on Quality and Productivity Roundtable Section on Statisticians in Defense and National Security, Section on with Lunch (fee event) Statistical Consulting Section on Quality and Productivity Organizer(s): Lara S. Schmidt, RAND Corporation Organizer(s): William R. Myers, Procter & Gamble WL25 Defense-Related Consulting Projects—❖John Crown, WL31 Communicating Statistics to Nonstatisticians in Industry— RAND Corporation ❖Philip Scinto, Th e Lubrizol Corporation
435 CC-4C-3 440 CC-4C-3 Section on Statistical Education Roundtables Section on Risk Analysis Roundtable with Lunch with Lunch (fee event) (fee event) Section on Statistical Education Section on Risk Analysis Organizer(s): Patti Collings, Brigham Young University Organizer(s): Duane Steff ey, Exponent, Inc. WL26 Analogies and Other Strategies To Help Students Use WL32 Results of a Post-Katrina Survey of New Orleans Intuition To Understand Concepts—❖Lawrence M. Residents—❖David Banks, Duke University Lesser, Th e University of Texas at El Paso ❖ WL27 How I Use the ARTIST Web Site in My Teaching— John 441 CC-4C-3 Holcomb, Jr., Cleveland State University Section on Survey Research Methods Roundtables with Lunch (fee event) 436 CC-4C-3 Section on Survey Research Methods Section on Statistics in Epidemiology Organizer(s): Steven G. Heeringa, University of Michigan Roundtable with Lunch (fee event) WL33 Survey Research and Its Role in Improving the Health and Section on Statistics in Epidemiology Lives of the World’s Poor—❖David J. Fitch, Universidad Organizer(s): Jennifer Clark Nelson, Group Health Cooperative del Valle de Guatemala WL28 Relative Risk Regression as an Alternative to Logistic WL34 Cross-Cultural Issues in Survey Research—❖Peter P. Regression in Cross-Sectional and Longitudinal Studies— Mohler, ZUMA ❖Richard Kronmal, University of Washington
Seattle 209 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
442 CC-4C-3 Wharton School of the University of Pennsylvania Social Statistics Section Roundtable with Lunch 2:55 p.m. Estimating Willingness To Pay with Random (fee event) Coeffi cient Models—❖Garrett Sonnier, Social Statistics Section University of California, Los Angeles Organizer(s): Allen Schirm, Mathematica Policy Research, Inc. 3:45 p.m. Floor Discussion WL35 The Next Survey Imperative: Being Proactive on Privacy— ❖ Gerald Gates, U.S. Census Bureau 446 CC-606 Nonparametric Inference—Invited 443 CC-4C-3 IMS, Section on Nonparametric Statistics Section on Teaching Statistics in the Health Organizer(s): Tony Cai, University of Pennsylvania Sciences Roundtable with Lunch (fee event) Chair(s): Jiashun Jin, Purdue University Section on Teaching Statistics in the Health Sciences 2:05 p.m. Statistical Inference for Evolving Periodic Organizer(s): Patrick Tarwater, Th e University of Texas Health Science Functions—❖Peter G. Hall, Australian National Center at Houston University WL36 Distance Teaching and Learning in the Health Sciences— 2:25 p.m. On Nonparametric Confi dence Sets—❖Tony ❖T. Robert Harris, Th e University of Texas at Dallas Cai, University of Pennsylvania; Mark Low, University of Pennsylvania 2:50 p.m. Nonparametric Estimation of Eigenvectors— Invited Sessions 2:00 p.m.–3:50 p.m. ❖Iain Johnstone, Stanford University 3:15 p.m. Adaptive Generalized Likelihood Inferences for 444 CC-617 Additive Models—❖Jianqing Fan, Princeton JASA Applications and Case Studies Invited University; Jiancheng Jiang, Princeton University Session—Invited 3:40 p.m. Floor Discussion JASA, Applications and Case Studies, Section on Nonparametric Statistics Organizer(s): Mark S. Kaiser, Iowa State University 447 CC-604 Chair(s): Mark S. Kaiser, Iowa State University ● Split-Plot Designs and Response Surface 2:05 p.m. Model-Assisted Estimation of Forest Resources Analysis: the Interface—Invited ❖ with Generalized Additive Models— Jean D. Section on Quality and Productivity, Section on Physical and Engineering Opsomer, Iowa State University; F. Jay Breidt, Sciences Colorado State University; Gretchen Moisen, Organizer(s): Martha Gardner, GE Global Research U.S. Forest Service; Goeran Kauermann, Chair(s): Martha Gardner, GE Global Research Universitaet Bielefeld 2:05 p.m. Standard Error Calculations for Estimators of 2:40 p.m. Disc: David Ruppert, Cornell University Regression Coeffi cients in Split-Plot Designs— 2:55 p.m. Disc: Roderick J. Little, University of Michigan Shaun Wulff , University of Wyoming; ❖Timothy 3:10 p.m. Disc: Mary C. Christman, University of Florida Robinson, University of Wyoming; Christine M. Anderson-Cook, Los Alamos National 3:35 p.m. Floor Discussion Laboratory 2:30 p.m. A Bayesian Approach to the Analysis of Split- 445 CC-211 Plot Experiments—❖Peter Goos, Universiteit New Methods for Modeling Choice in Antwerpen; Steven G. Gilmour, Queen Mary, Marketing—Invited University of London Section on Statistics and Marketing 2:55 p.m. Randomization-Based Analysis of Multistratum Organizer(s): Andrew Ainslie, University of California, Los Angeles Response Surface Designs—❖Steven G. Chair(s): Andrew Ainslie, University of California, Los Angeles Gilmour, Queen Mary, University of London 2:05 p.m. Structural Estimation of Retail Demand and 3:20 p.m. Testing for Lack-of-Fit in Split-Plot Response Inventory Decisions—❖Andres Musalem, Th e Surface Models—❖Scott Kowalski, Minitab Inc.;
210 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
Geoff Vining, Virginia Polytechnic Institute and 2:35 p.m. A Statistics Method for Array CGH Analysis— Wednesday State University ❖Pei Wang, Fred Hutchinson Cancer Research 3:45 p.m. Floor Discussion Center 3:05 p.m. On Detecting Chromosomal Aberrations Using Copy Number Data—Xuesong Yu, University 448 CC-3B of Washington; Tim Randolph, University of ● Adaptive Designs in Clinical Trials—Invited Washington; Hua Tang, Fred Hutchinson Cancer Biopharmaceutical Section, ENAR, WNAR Research Center; ❖Li Hsu, Fred Hutchinson Organizer(s): Sue-Jane Wang, U.S. Food and Drug Administration Cancer Research Center Chair(s): Kao-Tai Tsai, Organon 3:35 p.m. Floor Discussion 2:05 p.m. Weighted and Unweighted Z-Tests in Sample Size Re-estimation—❖Kuang-Kuo G. Lan, Johnson & Johnson Pharmaceutical R&D 451 CC-608 ● ✪ 2:30 p.m. Considerations in Use of Adaptive Designs in The Role of Administrative Records in 21st- Drug Development—❖Hsien-Ming Hung, U.S. Century Surveys and Censuses—Invited Food and Drug Administration Social Statistics Section, Section on Health Policy Statistics Organizer(s): Ronald Prevost, U.S. Census Bureau 2:55 p.m. Adaptive Designs in Clinical Trials—❖Yu Shen, Chair(s): Lisa Blumerman, U.S. Census Bureau M. D. Anderson Cancer Center 2:05 p.m. Methods and File Acquisitions Supporting the 3:20 p.m. Disc: Sue-Jane Wang, U.S. Food and Drug Expanded Use of Administrative Records— Administration ❖Dean Resnick, U.S. Census Bureau 3:40 p.m. Floor Discussion 2:25 p.m. Administrative Records and Survey Data Reuse: a Muse on Their Future—❖Ronald Prevost, U.S. 449 CC-4C-4 Census Bureau ● ✪ A Tribute to Yehuda Vardi—Invited 2:45 p.m. Why Are Survey Counts of Medicaid Enrollees Memorial, IMS, Section on Physical and Engineering Sciences Lower Than Administrative Enrollment Organizer(s): Christopher Genovese, Carnegie Mellon University Counts?—❖Michael Davern, University of Chair(s): Daryl Pregibon, Google Labs Minnesota; David Baugh, Centers for Medicare 2:05 p.m. Statistical Inverse Problems in Active Network and Medicaid Services; Christine Cox, National Tomography—❖Vijay Nair, University of Center for Health Statistics; Kim Lochner, Michigan National Center for Health Statistics; Jacob Klerman, RAND Corporation 2:35 p.m. Fast Functional MRI—❖Cun-Hui Zhang, Rutgers University 3:05 p.m. Combining Social Program Administrative Data with Census Bureau Survey Data—❖Robert 3:05 p.m. Duration Data: Poisson Process and Bias Goerge, Th e University of Chicago Correction—❖Zhiliang Ying, Columbia University 3:25 p.m. Disc: Joel Cohen, Agency for Healthcare Research 3:35 p.m. Floor Discussion 3:45 p.m. Floor Discussion 450 CC-607 ● New Statistical Methodology for Genomic 452 CC-612 Applications with Focus on Array CGH and Gene Using Empirical Likelihood Methods in Survey Networks—Invited Sampling—Invited ENAR, Biometrics Section, WNAR Section on Survey Research Methods, Section on Nonparametric Statistics Organizer(s): Jeff rey S. Morris, M. D. Anderson Cancer Center Organizer(s): Phillip S. Kott, National Agricultural Statistics Service Chair(s): Jeff rey S. Morris, M. D. Anderson Cancer Center Chair(s): Charles R. Perry, National Agricultural Statistics Service 2:05 p.m. A Bayesian Hierarchical Model for Integrating 2:05 p.m. Empirical Likelihood Inference from Sample ❖ Biological Data—❖Shane Jensen, Th e Wharton Survey Data— Jon N. K. Rao, Carleton School of the University of Pennsylvania University; Changbao Wu, University of Waterloo
Seattle 211 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
2:30 p.m. Variance Estimation for Empirical Likelihood 2:30 p.m. An Introduction to Incomplete Data Regression Calibration Estimators in Unequal Probability Methods Used in Practice—❖Nicholas J. Horton, Sampling—❖Jae-kwang Kim, Yonsei University Smith College; Ken P. Kleinman, Harvard 2:55 p.m. Empirical Likelihood Methods for Raking in Medical School Complex Surveys—❖Randy R. Sitter, Simon Fraser 2:55 p.m. A Data Mining Reading List—❖Richard De University; Changbao Wu, University of Waterloo Veaux, Williams College 3:20 p.m. Disc: Phillip S. Kott, National Agricultural 3:20 p.m. Introducing Bayes in a First Statistics Course— Statistics Service ❖James Albert, Bowling Green State University 3:40 p.m. Floor Discussion 3:45 p.m. Floor Discussion
453 CC-201 ● ✪ Advanced Statistical Methods in Topic-Contributed Sessions Psychological Research—Invited 2:00 p.m.–3:50 p.m. Section on Bayesian Statistical Science, Biometrics Section, ENAR Organizer(s): Dongchu Sun, Virginia Polytechnic Institute and State 455 CC-618 University/University of Missouri-Columbia ● Recent Advances in Brain Imaging—Topic- Chair(s): Dongchu Sun, Virginia Polytechnic Institute and State University/University of Missouri-Columbia Contributed 2:05 p.m. Combining Speed and Accuracy To Assess Error- Biometrics Section, Section on Nonparametric Statistics, ENAR Free Cognitive Processes—❖Mark Glickman, Organizer(s): Daniel Rowe, Medical College of Wisconsin Boston University Chair(s): Daniel Rowe, Medical College of Wisconsin 2:05 p.m. Modeling State-Related fMRI Activity Using 2:30 p.m. Long-Range Trends and Short-Range Change Point Theory—❖Martin A. Lindquist, Dependencies in Response Time Data—❖Mario Columbia University; Tor D. Wager, Columbia Peruggia, Th e Ohio State University; Peter F. University Craigmile, Th e Ohio State University; Trisha Van Zandt, Th e Ohio State University 2:25 p.m. Wild Bootstrap for Functional Magnetic Resonance Imaging Data—❖Hongtu Zhu, 2:55 p.m. Hierarchical Bayesian Methods for Models Columbia University/New York State Psychiatric of Memory Processes—❖Paul Speckman, Institute; Bradley S. Peterson, Columbia University of Missouri-Columbia; Jeff Rouder, University/New York State Psychiatric Institute University of Missouri-Columbia; Dongchu Sun, Virginia Polytechnic Institute and State 2:45 p.m. Predicting Post-Treatment Brain Activity Using University/University of Missouri-Columbia; Jun a Bayesian Hierarchical Model—❖F. DuBois Lu, American University Bowman, Emory University; Ying Guo, Emory University 3:20 p.m. Disc: Jay Myung, Th e Ohio State University 3:05 p.m. Power Calculations for Group fMRI Studies 3:40 p.m. Floor Discussion Accounting for Arbitrary Design and Temporal Autocorrelation—❖Jeanette Mumford, 454 CC-401 University of Michigan; Th omas Nichols, ● A Statistician’s Summer Reading List: Modern University of Michigan Topics To Check Out—Invited 3:25 p.m. New Kernel Method on Unit Sphere and Its Section on Statistical Education, Section on Teaching Statistics in the Health Application to Brain Imaging—❖Moo Chung, Sciences University of Wisconsin-Madison Organizer(s): Paul Roback, St. Olaf College 3:45 p.m. Floor Discussion Chair(s): Paul Roback, St. Olaf College 2:05 p.m. Analyzing DNA Microarrays with Undergraduate Statisticians—❖Johanna Hardin, Pomona College; Laura Hoopes, Pomona College; Ryan Murphy, Pomona College
212 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
456 CC-614 458 CC-204 Wednesday Measuring, Monitoring, and Evaluating Internal ● Topics in Univariate and Multivariate Time-to- Revenue Service Data—Topic-Contributed Events Analysis—Topic-Contributed Section on Government Statistics Section on Bayesian Statistical Science, Biometrics Section, ENAR Organizer(s): Kevin Cecco, Internal Revenue Service Organizer(s): Nalini Ravishanker, University of Connecticut Chair(s): Th omas Petska, Internal Revenue Service Chair(s): Paola Sebastiani, Boston University 2:05 p.m. Monitoring SOI Samples—❖Joseph Koshansky, 2:05 p.m. Bayesian Modeling of Multiple Episode Internal Revenue Service Occurrence and Severity with a Terminating ❖ 2:25 p.m. Measuring Nonsampling Error in Exempt Event— Amy Herring, Th e University of North Organization Business Income Tax Data— Carolina at Chapel Hill ❖Tamara Rib, Internal Revenue Service 2:25 p.m. Bayesian Semiparametric Inference for the 2:45 p.m. Customer Satisfaction Initiatives at IRS’s Accelerated Failure Time (AFT) Model Using Statistics of Income: Using Surveys To Improve Hierarchical Mixture Modeling with N-IG ❖ Customer Service—❖Ruth Schwartz, Internal Priors— Alessandra Guglielmi, Politecnico Revenue Service; Beth Kilss, Internal Revenue di Milano; Raff aele Argiento, Università Service Commerciale Luigi Bocconi/CNR-IMATI; Antonio Pievatolo, CNR-IMATI; Fabrizio 3:05 p.m. Performance Measures within the Statistics Ruggeri, CNR-IMATI of Income Division—❖Kevin Cecco, Internal Revenue Service 2:45 p.m. A Bayesian Dynamic Frailty Model for Recurrent Events—❖Changhong Song, University 3:25 p.m. Disc: John Czajka, Mathematica Policy Research, of Connecticut; Lynn Kuo, University of Inc. Connecticut 3:45 p.m. Floor Discussion 3:05 p.m. Multivariate Times-to-Events Analysis for Marketing Data Using Frailty Models—❖Nalini 457 CC-308 Ravishanker, University of Connecticut; V. Visualization of Large Datasets—Topic- Kumar, University of Connecticut; Rajkumar Contributed Venkatesan, University of Connecticut Section on Statistical Graphics, Section on Statisticians in Defense and 3:25 p.m. Flexible Models for Quantile Regression— National Security ❖Milovan Krnjajic, Lawrence Livermore Organizer(s): Simon Urbanek, AT&T Labs-Research National Laboratory; Athanasios Kottas, Chair(s): Deborah F. Swayne, AT&T Labs-Research University of California, Santa Cruz 2:05 p.m. Tours of Large Multivariate Data—❖Dianne 3:45 p.m. Floor Discussion Cook, Iowa State University 2:25 p.m. Visualization of Features in Curve Estimates and ❖ 459 CC-611 Application to Genetic Loci Mapping— Myung ● ✪ Statistical Approaches to Handling Data Hee Lee, Th e University of North Carolina at Chapel Hill; Ivan Rusyn, Th e University of North Quality: Issues and Evaluating Intervention Carolina at Chapel Hill; David Th readgill, Th e Effectiveness in HIV/AIDS Research—Topic- University of North Carolina at Chapel Hill; Contributed J. Stephen Marron, Th e University of North Section on Statistics in Epidemiology, Biometrics Section, ENAR Carolina at Chapel Hill Organizer(s): Felicia Hardnett, Centers for Disease Control and Prevention 2:45 p.m. Upscaling Statistical Graphics—❖Martin Th eus, Chair(s): Timothy Green, Centers for Disease Control and Prevention University of Augsburg 2:05 p.m. Assessing Mediation in HIV Intervention 3:05 p.m. Visualization of Statistical Models on a Billion Studies—❖Felicia Hardnett, Centers for Disease Cases—❖Graham Wills, SPSS Inc. Control and Prevention; Craig Borkowf, Centers 3:25 p.m. Disc: Antony Unwin, Universität Augsburg for Disease Control and Prevention; Sherri Pals, 3:45 p.m. Floor Discussion Centers for Disease Control and Prevention;
Seattle 213 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
Ann O’Leary, Centers for Disease Control and 3:05 p.m. Model-Based Clustering in a Brook Trout Prevention; Jeff rey Parsons, City University of Classifi cation Study within the Eastern United New York-Hunter College; Cynthia Gomez, States—❖Huizi Zhang, Virginia Polytechnic University of California, San Francisco Institute and State University; Samantha C. 2:25 p.m. Are Higher Levels of Multilevel (Hierarchical) Prins, Virginia Polytechnic Institute and State Models Necessary? Application to High-Risk University; Eric P. Smith, Virginia Polytechnic Sexual Behavior Data—❖DeMarc Hickson, Institute and State University Emory University/Centers for Disease Control 3:25 p.m. Nonparametric Harmonic Regression for and Prevention; Lance Waller, Emory University; Estuarine Water Quality Data—❖Melanie Autin, Lillian Lin, Centers for Disease Control and University of South Carolina; Don Edwards, Prevention University of South Carolina 2:45 p.m. How Good Is Good Enough? An Investigation of 3:45 p.m. Floor Discussion the Effect of Uncertainty in Survey Parameters on Estimates of HIV Prevalence, Guyana 2004— ❖Maxine Denniston, Centers for Disease Control 461 CC-310 ● ✪ and Prevention; Nicole Seguy, Centers for Disease Statistics for Weather Forecasting Control and Prevention; Wolfgang Hladik, Centers II: Challenges and Opportunities—Topic- for Disease Control and Prevention Contributed 3:05 p.m. A Multiple-Recapture Approach When a Unique Section on Statisticians in Defense and National Security, Section Identifi er Is Not Available—❖Ruiguang Song, on Physical and Engineering Sciences, Section on Statistics and the Environment Centers for Disease Control and Prevention; Organizer(s): Tilmann Gneiting, University of Washington H. Irene Hall, Centers for Disease Control and Chair(s): Matthew Stephens, University of Washington Prevention; John Gerstle, Centers for Disease Control and Prevention; Lisa Lee, Centers for 2:05 p.m. Probabilistic Forecasting in Meteorology— ❖ Disease Control and Prevention Barbara Brown, National Center for Atmospheric Research 3:25 p.m. Floor Discussion 2:25 p.m. Probabilistic Forecasts, Calibration, and Sharpness—❖Fadoua Balabdaoui, Institut für 460 CC-602 Mathematische Stochastik; Tilmann Gneiting, ● Statistical Applications in Water Quality and University of Washington; Adrian E. Raftery, Monitoring—Topic-Contributed University of Washington Section on Statistics and the Environment 2:45 p.m. Calibrated Probabilistic Forecasting at the Organizer(s): Keying Ye, Th e University of Texas at San Antonio Stateline Wind Energy Center: the Regime- Chair(s): Ilya Lipkovich, Eli Lilly and Company Switching Space-Time (RST) Method—❖Tilmann 2:05 p.m. Clustering Using Stressor-Response Gneiting, University of Washington; Kristin Relationships—❖Samantha C. Prins, Virginia Larson, 3 Tier Environmental Forecast Group, Polytechnic Institute and State University; Eric Inc.; Kenneth Westrick, 3 Tier Environmental P. Smith, Virginia Polytechnic Institute and State Forecast Group, Inc.; Marc G. Genton, Texas University A&M University; Eric Aldrich, Duke University 2:25 p.m. Composite Sampling for Environmental 3:05 p.m. Detection and Modeling of Long Memory in Variables—❖Sylvia Esterby, Th e University Biases of Daily Forecasts of Surface Air Pressure of British Columbia; Abdel H. El-Shaarawi, and Temperature—❖Yulia Gel, University National Water Research Institute of Waterloo; Bovas Abraham, University of 2:45 p.m. Modifi ed Power Priors with Multiple Historical Waterloo Datasets in Water Quality Evaluation—❖Yuyan 3:25 p.m. Disc: Wendy Martinez, Offi ce of Naval Research Duan, Bristol-Myers Squibb Company; Keying 3:45 p.m. Floor Discussion Ye, Th e University of Texas at San Antonio; Eric P. Smith, Virginia Polytechnic Institute and State University
214 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
❖Pat McClellan, American Statistical
462 CC-609 Wednesday ● ✪ Reducing the Risk of Data Disclosure Association through Swapping and Other Masking ❖Rich Allen, ASA Committee on Archives and Procedures—Topic-Contributed History Section on Survey Research Methods, Section on Statisticians in Defense 3:45 p.m. Floor Discussion and National Security Organizer(s): Th omas Krenzke, Westat Chair(s): Leyla Mohadjer, Westat Regular Contributed Sessions 2:05 p.m. Reducing the Risk of Data Disclosure through Area Masking: Limiting Biases in Variance 2:00 p.m.–3:50 p.m. Estimation—❖Inho Park, Westat; Sylvia Dohrmann, Westat; Jill Montaquila, Westat; 464 CC-616 Leyla Mohadjer, Westat; Lester R. Curtin, ● Unit Nonresponse in Surveys IV—Contributed Centers for Disease Control and Prevention Section on Survey Research Methods 2:25 p.m. Disclosure Limitation in NAEP: a Probabilistic Chair(s): Christopher Johnson, Centers for Disease Control and Approach to Swapping Sample Selection— Prevention ❖David Freund, Educational Testing Service; 2:05 p.m. Evaluation of Using a Model-Assisted Sampling Andreas Oranje, Educational Testing Service Paradigm versus a Traditional Sampling 2:45 p.m. Tactics for Reducing the Risk of Disclosure Paradigm in a Nationally Representative Using the NCES DataSwap Software—❖Th omas Establishment Survey—❖Marcus Berzofsky, RTI Krenzke, Westat; Stephen E. Roey, Westat; Sylvia International; Brandon Welch, RTI International; Dohrmann, Westat; Leyla Mohadjer, Westat; Rick L. Williams, RTI International; Paul Biemer, Wen-Chau Haung, Westat; Steve Kaufman, RTI International Retired; Marilyn Seastrom, National Center for 2:20 p.m. Using Telephone-Exchange Data To Adjust for Education Statistics Nonresponse: Application in an Establishment 3:05 p.m. Combinations of SDC Methods for Numerical Survey—❖Stephen R. Williams, Mathematica Microdata—❖Anna Oganian, National Institute Policy Research, Inc.; Ronghua Lu, Mathematica of Statistical Sciences; Alan Karr, National Policy Research, Inc. Institute of Statistical Sciences 2:35 p.m. Nonresponse Adjustment Using Logistic 3:25 p.m. Disc: Jerome Reiter, Duke University Regression: To Weight or Not To Weight?—❖Eric 3:45 p.m. Floor Discussion A. Grau, Mathematica Policy Research, Inc.; Frank Potter, Mathematica Policy Research, Inc.; Stephen R. Williams, Mathematica Policy Research, Inc.; Nuria Diaz-Tena, Mathematica Topic-Contributed Panels Policy Research, Inc. 2:00 p.m.–3:50 p.m. 2:50 p.m. Response Rates and Response Patterns among New Enterprises: Results from the Kauffman 463 CC-206 Firm Survey—❖Frank Potter, Mathematica Policy Making Statistical History: Collecting, Research, Inc.; Yuhong Zheng, Mathematica Policy Preserving, and Providing Access to Records of Research, Inc.; David DesRoches, Mathematica Policy Research, Inc.; Janice Ballou, Mathematica the American Statistical Community—Topic- Policy Research, Inc.; Zhanyun Zhao, Mathematica Contributed Policy Research, Inc. General Methodology, Section on Statistical Education 3:05 p.m. Estimation of Attrition Biases in SIPP—❖Eric Organizer(s): John Paul Deley, Energy Information Administration Slud, U.S. Census Bureau; Leroy Bailey, U.S. Chair(s): John McKenzie, Babson College Census Bureau Panelists: ❖John Paul Deley, Energy Information 3:20 p.m. Subsampling Nonrespondents: Issues of Administration Calculating Response Rates—❖Sonya
Seattle 215 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
Vartivarian, Mathematica Policy Research, Inc.; 466 CC-603 Sameena Salvucci, Mathematica Policy Research, ● Studies in Air Quality and Pollution— Inc.; Donsig Jang, Mathematica Policy Research, Contributed Inc.; Daniel Kasprzyk, Mathematica Policy Section on Statistics and the Environment, WNAR Research, Inc. Chair(s): Jay Ver Hoef, National Marine Mammal Lab 3:35 p.m. Physician Survey Response Methods Research— 2:05 p.m. Comparing CMAQ to Observations—❖Li Chen, ❖ Catharine Burt, National Center for Health Th e University of Chicago; Michael L. Stein, Th e Statistics; David Woodwell, National Center for University of Chicago Health Statistics 2:20 p.m. A Case Study in Estimating Percentage Detection Biases along a Recorded Ozone Profi le— 465 CC-615 ❖Wendy Meiring, University of California, Santa ● Survey-Based Variance Estimation II— Barbara Contributed 2:35 p.m. Statistical Conditional Simulation of a Section on Survey Research Methods Multiresolution Numerical Air Quality Model— Chair(s): Yahia Ahmed, Internal Revenue Service ❖Xiaofeng Shao, Th e University of Chicago; 2:05 p.m. Study of Volatility and Smoothing of Estimated Michael L. Stein, Th e University of Chicago Variances in the Employment Cost Index 2:50 p.m. New Classes of Asymmetric Spatial-Temporal Program—❖Meghan S. O’Malley, Bureau of Labor Covariance Models—❖Man Sik Park, Colorado Statistics; Daniell Toth, Bureau of Labor Statistics; State University Chester Ponikowski, Bureau of Labor Statistics 3:05 p.m. Multivariate Spatio-Temporal Model for 2:20 p.m. Estimation of Generalized Variance Functions Speciated Fine Particle Matter—❖Jungsoon for the 2003 Survey of Doctorate Recipients— Choi, North Carolina State University; ❖Michael Yang, National Opinion Research Montserrat Fuentes, North Carolina State Center; Yongyi Wang, National Opinion University; Brian Reich, North Carolina State Research Center University 2:35 p.m. Stability of Jackknife Variance Estimates 3:20 p.m. Fast and Flexible Statistical Techniques for the for Prescription Count Estimates over Time Analysis of Space-Time Data with Complex Intervals—❖Christina Gaughan, IMS Health; Structures—Dana Draghicescu, City University Heather Zuleba, IMS Health; Chris Boardman, of New York-Hunter College; ❖Michael Porter, IMS Health; Kennon Copeland, IMS Health City University of New York 2:50 p.m. To Replicate (a Weight Adjustment Procedure) 3:35 p.m. Statistical Challenges in Comparisons of or Not To Replicate? An Analysis of the Variance Measured Indoor and Outdoor Exposures in Estimation Effects of a Shortcut Procedure an Urban Setting—❖Sorina Eftim, Th e Johns Using the Stratifi ed Jackknife—❖Katherine Hopkins Bloomberg School of Public Health; Th ompson, U.S. Census Bureau; Wesley Yung, Alison Geyh, Th e Johns Hopkins Bloomberg Statistics Canada School of Public Health; Patrick Breysse, Th e 3:05 p.m. On Generalized Variance Functions—❖Donsig Johns Hopkins Bloomberg School of Public Jang, Mathematica Policy Research, Inc.; Amang Health Sukasih, Mathematica Policy Research, Inc.; Xiaojing Lin, Mathematica Policy Research, Inc. 467 CC-610 3:20 p.m. Generalized Variance Functions To Create Stable Quality Measures for Human Populations— and Timely Variance Estimates for Prescription Contributed Count Estimates—❖Kennon Copeland, IMS Social Statistics Section, Section on Health Policy Statistics Health; Christina Gaughan, IMS Health; Chris Boardman, IMS Health Chair(s): Kelly H. Zou, Harvard Medical School 2:05 p.m. Individuals with Disabilities: How They Impact 3:35 p.m. Standard Error Estimation for County-Level Research—❖Larry Featherston, University of Radio Listening—❖Mandy Webb, Arbitron Inc.; Arkansas Richard Griffi ths, Arbitron Inc.
216 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
2:20 p.m. Statistical Methodology for Longitudinal Social Rolla; V. A. R. Samaranayake, University of Wednesday Network Data—❖Anton Westveld, University Missouri-Rolla of Washington; Peter Hoff , University of 3:05 p.m. Causality Tests in Cointegrated Systems Washington and Temporal Aggregation of Multivariate 2:35 p.m. Testing for Differential Responses in a Multiple Autoregressive Moving Average Processes— Category Scale: a Case Study on Self-Rated ❖Ceylan Yozgatligil, Temple University; William Health among Foreign- and Native-Born Asian W. S. Wei, Temple University ❖ Americans— Elena Erosheva, University of 3:20 p.m. LAD Estimation of ARFIMA-GARCH Models— Washington; Emily C. Walton, University of ❖Wai K. Li, Th e University of Hong Kong; Washington; David T. Takeuchi, University of Guodong Li, Th e University of Hong Kong Washington 3:35 p.m. A Note on the Inequality Constraints for the 2:50 p.m. Quality Management at the National Center for GARCH Models—❖Henghsiu Tsai, Academia ❖ Health Statistics (NCHS)— Kenneth Harris, Sinica; Kung-Sik Chan, Th e University of Iowa National Center for Health Statistics 3:05 p.m. Achieving Clinical Satisfaction with the Desirability Function—❖Terrence Murphy, Yale 469 CC-2A ● University Equivalence, Superiority, and Noninferiority— 3:20 p.m. Temporary Help and Leased and Contract Contributed Workers: Designing and Testing a Supplement Biopharmaceutical Section to the Current Employment Statistics Survey— Chair(s): Amit Bhattacharyya, GlaxoSmithKIine ❖Polly Phipps, Bureau of Labor Statistics; Kathy 2:05 p.m. Simultaneous Test for Superiority and Downey, Bureau of Labor Statistics; Christopher Noninferiority Hypotheses in Active Controlled Manning, Bureau of Labor Statistics; Kirk Clinical Trials—❖Joanne Zhang, Center for Drug Mueller, Bureau of Labor Statistics Evaluation and Research; Yi Tsong, U.S. Food 3:35 p.m. Multilevel Structural Equation Model for Ordinal and Drug Administration Responses—❖Sophia Rabe-Hesketh, University 2:20 p.m. Testing Equality of Medians in Two Independent of California, Berkeley; Xiaohui Zheng, Lognormal Distributions—❖Hongwei Wang, University of California, Berkeley Merck & Co., Inc.; Arvind K. Shah, Merck & Co., Inc. 468 CC-203 2:35 p.m. Likelihood Ratio Tests for Equivalence Hypotheses—❖Shun-Yi Chen, Tamkang Confi dence Intervals and Hypothesis Testing— University; Ching-Feng Hsu, Tamkang University Contributed 2:50 p.m. Simultaneous Testing of Noninferiority and Business and Economics Statistics Section Superiority Increases the False Discovery Chair(s): Edward Melnick, New York University Rate—❖Tie-Hua Ng, U.S. Food and Drug 2:05 p.m. New Tests for Joint Hypothesis of a Unit Root Administration When There Is a Break in the Innovation 3:05 p.m. New Tests for Null Hypotheses of Nonunity Variance—❖Amit Sen, Xavier University Relative Risk—❖Kallappa Koti, U.S. Food and 2:20 p.m. Easily Implemented Confi dence Intervals and Drug Administration Hypothesis Tests for Sharpe Ratios under 3:20 p.m. Assessing the Superiority of a Combination General Conditions—❖J. D. Opdyke, DataMineIt Drug—Jianjun Li, Merck Research Laboratories; 2:35 p.m. Parameters Estimation and Bias Corrections Steven Snapinn, Amgen Inc.; ❖Guoyong Jiang, ❖ for Diffusion Processes— Chengyong Tang, Cephalon, Inc. Iowa State University; Song X. Chen, Iowa State 3:35 p.m. To Permute or Not Permute—❖Haiyan Xu, University Johnson & Johnson Pharmaceutical R&D; Jason 2:50 p.m. New Tests for Endogeneity in a Simultaneous Hsu, Th e Ohio State University; Yifan Huang, H. Equation System with Discrete Endogenous Lee Moffi tt Cancer Center & Research Institute; ❖ Variable— Xu Cao, University of Missouri- Violeta Calian, University of Iceland
Seattle 217 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
470 CC-619 2:50 p.m. Estimation of a Survival Curve with Unlinked ● Semiparametric Methods—Contributed Entry and Failure Times—❖Yujun Wu, University Biometrics Section, Section on Nonparametric Statistics, ENAR of Medicine & Dentistry of New Jersey; Chair(s): Sally Hunsberger, National Cancer Institute Weichung J. Shih, University of Medicine & Dentistry of New Jersey; Dirk Moore, University 2:05 p.m. The Effi ciency of Multivariate Pseudo-Likelihood of Medicine & Dentistry of New Jersey Estimation—❖Park Bum Hee, Hankuk ❖ University of Foreign Studies; Park Heungsun, 3:05 p.m. Comorbidity through the Life Span— John Hankuk University of Foreign Studies Dixon, Florida State University; Eric Chicken, Florida State University; Myles Hollander, 2:20 p.m. Confi dence Intervals Based on Non-Smooth Florida State University; Dan McGee, Florida Estimating Equations for Longitudinal Data State University Using Markov Chain Marginal Bootstrap—❖Di Li, University of Illinois at Urbana-Champaign 3:20 p.m. Goodness-of-Fit Tests for Left-Truncated and Right-Censored Data—❖Yi-Ting Hwang, 2:35 p.m. Hierarchical Quasi-Likelihood Approach to National Taipei University Bioavailability and Bioequivalence Analysis— ❖Changchun Xie, McMaster University 3:35 p.m. A Goodness-of-Fit Test for Copula Models— ❖Antai Wang, Georgetown University 2:50 p.m. Analysis of Linear Transformation Models with Covariate Transformations—❖Chunpeng Fan, University of Wisconsin-Madison; Jason P. Fine, 472 CC-2B University of Wisconsin-Madison ● Osteoporosis, Contraceptive, and Vaccine 3:05 p.m. Smoothing Spline ANOVA Model for Bivariate Trials—Contributed Bernoulli Outcome—❖Hyonho Chun, University Biopharmaceutical Section, Biometrics Section, ENAR of Wisconsin-Madison Chair(s): Margaret Minkwitz, AstraZeneca Pharmaceuticals 3:20 p.m. Statistical Inference for Multivariate Outcome- 2:05 p.m. Quantitative Risk-Benefi t Assessment in the Dependent Sampling Design—❖Tsui-Shan Lu, Multiple Outcomes of Raloxifene Evaluation Th e University of North Carolina at Chapel Hill; (MORE) Trial: an Application of the Global Haibo Zhou, Th e University of North Carolina at Benefi t-Risk Assessment—❖Messan G. Chapel Hill Amewou-Atisso, Eli Lilly and Company; Yili 3:35 p.m. Floor Discussion Pritchett, Abbott Laboratories 2:20 p.m. Quantifying the Effect of the Surrogate Marker by Information Gain—❖Yongming Qu, Eli 471 CC-620 Lilly and Company; Michael Case, Eli Lilly and ● Inference and Models for Censored Data— Company Contributed 2:35 p.m. Assessing Learning Effect and Nonrandom Biometrics Section, ENAR Dropout in a Contraceptive Device Trial— Chair(s): Petra Buzkova, Th e University of North Carolina at Chapel ❖Pai-Lien Chen, Family Health International Hill 2:05 p.m. Statistical Analysis of Survival Data under 2:50 p.m. An Improved Exact Method for the Estimation and Testing of a Rate Ratio—❖ Informative Truncation—❖Shu-Hui Chang, William W. B. National Taiwan University Wang, Merck Research Laboratories; Ivan Chan, Merck & Co., Inc. 2:20 p.m. Medical Cost Estimation under Dependent 3:05 p.m. Utilizing Statistical Models To Predict the Censoring—❖Wenqin Pan, Duke University; Duration of Protection of Vaccines—❖ Donglin Zeng, Th e University of North Carolina Liwen Xi, at Chapel Hill Merck & Co., Inc. 2:35 p.m. A General Semiparametric Transformation Model 3:20 p.m. A Statistical Framework for Quantile Equivalence Clinical Trials with Application to Pharmacokinetic for Survival Data—❖Hao Liu, University of Studies That Bridge from HIV-Infected Adults to California, Davis; Alexander Tsodikov, University Children—❖ of California, Davis Lixia Pei, Harvard University; Michael Hughes, Harvard University
218 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
3:35 p.m. The Use of an Internal Unblinded Statistician with from Partially Observed Trajectories in a Large Wednesday a Data-Monitoring Committee—❖David Radley, Network—❖Jaimyoung Kwon, California State Merck & Co., Inc.; Gregory Golm, Merck & Co., Inc. University, East Bay; Pravin Varaiya, University of California, Berkeley 473 CC-3A 2:20 p.m. Network Tomography Problems—❖Jiangang ● Oncology Trials—Contributed Fang, Rutgers University; Cun-Hui Zhang, Rutgers University Biopharmaceutical Section, Biometrics Section, ENAR Chair(s): David Manner, Eli Lilly and Company 2:35 p.m. A Bayes/Empirical Bayes Approach for Service- Level Network Reliability/Survivability 2:05 p.m. Evaluating the Quality Reporting of Clinical Measure—❖Cheng Chen, Texas A&M Trials in Primary Treatment of Brain Tumors— University; Margaret F. Land, TeXas ❖Lehana Th abane, McMaster University; Rose Environmental Studies and Analysis, LLC; Rajat Lai, Columbia University; Rong R. Rachel, Sethi, Texas A&M University-Kingsville Th e University of British Columbia; Michael Fraumeni, Juravinski Cancer Centre 2:50 p.m. Calibration and Prediction for Computer Experiment Output Having Qualitative and 2:20 p.m. Predicting Malignant Renal Lesions by Using Quantitative Input Variables—❖Gang Han, Th e Preoperative Color Doppler Ultrasonography: Ohio State University; Th omas Santner, Th e Building a Nomogram—❖Alexia Iasonos, Ohio State University; William Notz, Th e Ohio Memorial Sloan-Kettering Cancer Center; State University Ganesh V. Raj, Memorial Sloan-Kettering Cancer Center; Paul Russo, Memorial Sloan-Kettering 3:05 p.m. Validity of Likelihood and Bayesian Inference for ❖ Cancer Center Gaussian Process Regression— Bela Nagy, Th e University of British Columbia; Jason Loeppky, 2:35 p.m. Statistical Properties of a Modifi ed Accelerated Th e University of British Columbia; William J. Design for Phase I Cancer Clinical Trials— Welch, Th e University of British Columbia ❖Weili He, Merck & Co., Inc.; Jun Liu, Rutgers University; Hui Quan, sanofi -aventis 3:20 p.m. Exploiting Spatial Information in Multivariate Calibration—❖Brian Marx, Louisiana State 2:50 p.m. Using Marginal Structural Model To Adjust for Post- University; Paul H. C. Eilers, Leiden University Discontinuation Chemotherapy in Cancer Clinical Medical Center Trials—❖Yanping Wang, Eli Lilly and Company; Jim Symanowski, Eli Lilly and Company 3:35 p.m. Representations of Spatial Surface Models— ❖James Yen, National Institute of Standards and 3:05 p.m. On Dose Escalation Rules in Phase I Cancer Technology Clinical Trials—❖Susan Li, Centocor R&D, Inc. 3:20 p.m. Identifying Patients with Newly Diagnosed; Histologically Proven; Untreated; Symptomatic 475 CC-309 Stage I, II, or III Myeloma Who May Benefi t Dimension Reduction and Image Analysis— from Dexamethasone—❖Keyue Ding, Queen’s Contributed University Section on Statistical Computing, Section on Statistical Graphics 3:35 p.m. A Statistical Method To Integrate Independent Chair(s): Ranjan Maitra, Iowa State University Review and Investigator Review in Clinical 2:05 p.m. Assessment of Infl uential Observations Using Cancer Trial—❖Xiaolong Luo, Johnson & Alpha Factor Analysis—❖Zenaida F. Mateo, Johnson Pharmaceutical R&D University of Manitoba; Yutaka Tanaka, Nanzan University 474 CC-601 2:20 p.m. Factor Analysis for Multiattribute Ranked Data— ❖ ✪ Network Analysis and Spatial Applications— Philip L. H. Yu, Th e University of Hong Kong; Contributed Wai Ming Wan, Th e University of Hong Kong Section on Physical and Engineering Sciences 2:35 p.m. Suffi cient Dimension Reduction, Regardless of ❖ Chair(s): Dave Higdon, Los Alamos National Laboratory (n, p) Relation— Lexin Li, North Carolina State University 2:05 p.m. Dynamic Origin-Destination Matrix Estimation
Seattle 219 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
2:50 p.m. Linear Dimension Reduction in Image 3:20 p.m. Dose Ranging Studies in Acupuncture, Analysis Using Geometrical Tools—❖Evgenia Manipulative Therapy, and Mind Body Rubinshtein, Florida State University; Anuj Research—❖Laura L. Johnson, National Srivastava, Florida State University Center for Complementary and Alternative 3:05 p.m. Inferring Galaxy Morphology through Texture Medicine; Catherine Stoney, National Analysis—❖Kinman Au, Carnegie Mellon Center for Complementary and Alternative University; Christopher Genovese, Carnegie Medicine; Partap Khalsa, National Center for Mellon University; Andrew Connolley, Complementary and Alternative Medicine University of Pittsburgh 3:35 p.m. A General Serial Gatekeeping Procedure To ❖ 3:20 p.m. Image Analysis Using the EM Algorithm with Control Studywise Error Rate— Fang Xie, Stochastic Variation—❖Xiaoxi Zhang, University Cephalon, Inc.; Chung-Kuei Chang, Cephalon, of Michigan; Roderick J. Little, University of Inc.; Guoyong Jiang, Cephalon, Inc. Michigan 3:35 p.m. Validity Diagnostics for DTI Heterogeneity 477 CC-307 Models—❖Meagan E. Clement, Rho, Inc.; Keith Dimension Reduction Methods—Contributed E. Muller, Th e University of North Carolina at Section on Nonparametric Statistics Chapel Hill; Guido Gerig, Th e University of Chair(s): Ann Kalinowski, WIHS UCSF North Carolina at Chapel Hill; Matthew Gribbin, 2:05 p.m. Sliced Inverse Moment Regression Using Th e University of North Carolina at Chapel Hill; Weighted Chi-Squared Tests for Dimension Joseph Piven, Th e University of North Carolina Reduction—❖Jie Yang, Th e University of at Chapel Hill Chicago; Zhishen Ye, Eli Lilly and Company 2:20 p.m. Selecting Tuning Parameters in Dimension 476 CC-205 Reduction Methods in Regression—❖Peng The Practice of Statistical Consulting: Study Zeng, Auburn University Design and Sample Size—Contributed 2:35 p.m. Projection-Directed Nonparametric Omnibus Section on Statistical Consulting Test for the Multivariate Multisample Problem— Chair(s): Harold Dyck, California State University ❖Xiaobin Yuan, St. Jude Children’s Research 2:05 p.m. The Joys (and Perils) of Professional Statistical Hospital; Cheng Cheng, St. Jude Children’s Consulting—❖Nestor Rohowsky, IDCS, Inc. Research Hospital 2:20 p.m. Impact of Effect Size, Sample Size, and Crossover 2:50 p.m. Aggregation of Nonparametric Estimators for Percent on Intention-to-Treat (ITT) Analysis: Volatility Matrix—❖Yingying Fan, Princeton Do Subjects Need To Stay in the Group They University Were Assigned?—❖Th omas Wasser, Lehigh 3:05 p.m. Dimensionality Reduction of High-Dimensional Valley Hospital; Christopher S. Hollenbeak, Th e Tables—❖Siamak Noorbaloochi, VAMC, Pennsylvania State University; Stephen Matchett, University of Minnesota; David Nelson, VAMC, Lehigh Valley Hospital University of Minnesota; Joe Grill, VAMC, 2:35 p.m. Comparison of Effect Size, Power, and Minneapolis Type I Error Rate in Simulated Effi cacy and 3:20 p.m. Statistical Inference of Distributions on Effectiveness Trials—❖Mary Z. Mays, Arizona Manifold—❖Wanli Min, IBM T. J. Watson State University; Jan Jirsak, University of Arizona Research Center 2:50 p.m. Reporting Signifi cant Results for a Large Sample 3:35 p.m. Floor Discussion Study—❖Gloria Caldito, LSU Health Sciences Center 3:05 p.m. Uncontrolled Variation in Multistage Experiments—❖T. B. Bailey, Iowa State University
220 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
2:50 p.m. Comparison of the Income Items from the CPS
478 CC-400 Wednesday ● Applied Bayesian Modeling—Contributed and Census 2000—❖Bruce H. Webster, Jr., U.S. Section on Bayesian Statistical Science Census Bureau Chair(s): Dan Spitzner, Virginia Polytechnic Institute and State 3:05 p.m. Multiple-Record Applicants in the Analysis University of Hiring Disparity—❖Charles McGhee, U.S. 2:05 p.m. Tree-Based and Bayesian Modeling of Food Department of Labor; Marika Litras, Offi ce of Web Collapse in the Permian Mass Extinction— Federal Contract Compliance Programs; Michael ❖Steve C. Wang, Swarthmore College; Peter D. Sinclair, Offi ce of Federal Contract Compliance Roopnarine, California Academy of Sciences; Programs Kenneth D. Angielczyk, University of Bristol 3:20 p.m. The Use of the Peters-Belson Method in 2:20 p.m. Bayesian Calibration Models for Obsidian Hiring Discrimination Assessments—Michael Hydration Dating—❖Andrew Schaff ner, Sinclair, Offi ce of Federal Contract Compliance California Polytechnic State University, San Luis Programs; ❖Shirong Leu, U.S. Department of Obispo Labor; Arline Easley, U.S. Department of Labor 2:35 p.m. Bayesian Semiparametric Analysis for a Single- 3:35 p.m. Estimating Missing Prices in Producer Price Item Maintenance Optimization—❖Elmira Index—❖Onimissi Sheidu, Bureau of Labor Popova, Th e University of Texas at Austin; Paul Statistics Damien, Th e University of Texas at Austin; Timothy Hanson, University of Minnesota 480 CC-605 2:50 p.m. Bayesian Modeling of the Effect of Four-to- Stochastic Process and Mixture Models— Three-Lane Conversion on the Number of Contributed Crashes and Crash Rates for Iowa Roads— IMS ❖Wen Li, Iowa State University; Alicia Chair(s): Marloes Maathuis, University of Washington Carriquiry, Iowa State University 2:05 p.m. A Class of Probability Measures on the 3:05 p.m. Bayesian Procrustes Analysis—Athanasios Simplex—❖Zach Dietz, Tulane University Micheas, University of Missouri-Columbia; ❖Yuqiang Peng, University of Missouri- 2:20 p.m. The Bahadur Representation for Sample ❖ Columbia Quantiles under Weak Dependence— Shuxia Sun, Wright State University 3:20 p.m. Statistical Analysis of Single-Unit Firing Rate— ❖Sam Behseta, California State University; 2:35 p.m. Long-Time Asymptotics for Constrained ❖ Robert E. Kass, Carnegie Mellon University Diffusions in Polyhedral Domains— Chihoon Lee, Th e University of North Carolina at Chapel 3:35 p.m. Floor Discussion Hill; Amarjit Budhiraja, Th e University of North Carolina at Chapel Hill 479 CC-613 2:50 p.m. The Mixture-Labeling Problem: a Frequentist Nonresponse Bias and Other Estimation View—❖Daeyoung Kim, Th e Pennsylvania State Challenges—Contributed University; Bruce G. Lindsay, Th e Pennsylvania Section on Government Statistics State University Chair(s): Carolyn Shettle, Westat 3:05 p.m. Stability and Tail Properties of Nonlinear 2:05 p.m. Nonresponse Bias in the Omnibus Household Stochastic Recursions with Application to Survey—❖Promod Chandhok, Bureau of Nonlinear AR-GARCH Models—❖Daren B. H. Transportation Statistics Cline, Texas A&M University 2:20 p.m. Nonresponse Bias of Time-Use Measures’ 3:20 p.m. Noncommutative Stochastic Convergence of Inter-Relationships—❖John Dixon, Bureau of the Bounded Besicovitch Sequence—❖Larisa Labor Statistics Shwartz, IBM; Genady Grabarnik, IBM T. J. 2:35 p.m. Using Survival Analysis To Predict Sample Watson Research Center Retention Rates—❖Andy Sadler, Bureau of 3:35 p.m. Floor Discussion Labor Statistics
Seattle 221 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
Regular Contributed Posters 09 On Testing about a Construct Mean for Likert-Scale Data—❖Cherng Ding, National Chiao Tung University; 2:00 p.m.–3:50 p.m. Hsiu-Yu Lee, National Chiao Tung University 10 Caution When Using Covariate Adjustment in Mixed 481 CC-Level 6 East Lobby ❖ Contributed Posters—Contributed Effect ANOVA— Zhenxu Ma, Battelle; Paul Feder, Battelle General Methodology, Social Statistics Section, Section on Survey Research Methods, Biopharmaceutical Section, Section on Physical and Engineering 11 Estimating a Population Median from a Small Sample— Sciences, Section on Statistics and the Environment, Section on Statistics ❖Boris Shulkin, Christy Industries/Magna International; and Marketing, Section on Statistical Consulting, Biometrics Section, Shlomo Sawilowsky, Wayne State University Section on Statistical Computing, Section on Statistics in Sports, Section on 12 On the Use of Heywood Cases for Specifi cation Testing Statistics in Epidemiology in SEM—❖Stanislav Kolenikov, University of Missouri- Organizer(s): Maura E. Stokes, SAS Institute, Inc. Columbia; Kenneth A. Bollen, Th e University of North Chair(s): Maura E. Stokes, SAS Institute, Inc. Carolina at Chapel Hill Archeology, anthropology, humanities Linear models, GLMs, parametric methods 01 A Multivariate Statistical Analysis of Female 13 S-PLUS and R Package for Least Angle Regression— ❖ Empowerment— Janelle Jones, SUMSRI; Adrianne ❖Tim C. Hesterberg, Insightful Corporation Demski, SUMSRI 14 Partially Repeated Measurements—❖Mitchell General Watnik, California State University, East Bay; Erica 02 Examination of Structure Coeffi cient Interpretation Wong, California State University, East Bay; David in Descriptive Discriminant Analysis: the Three-Group Schlessinger, California State University, East Bay ❖ Case— Mercedes Schneider, Ball State University 15 Selecting the Best Confi dence Interval for a Variance 03 Computer Literacy of Adolescents in Grades 9 to 12: Ratio (or Heritability)—❖Brent Burch, Northern an Exploratory Study—❖Matthew Sink, Shoreline Arizona University Christian High School; Christopher A. Sink, Seattle 16 Calculating Power for Generalized Linear Models Using Pacifi c University the Wald Test—❖Jonathan Mahnken, Th e University of 04 Partial Least Squares Regression and Its Application in Kansas Medical Center ❖ Drug Discovery— Jingjing Chen, Merck & Co., Inc. 17 Confi dence Interval Coverage for Four Effect Sizes for 05 Quasi-Probability Distributions Based on the Lagrange Predictor Variables in a Multiple Linear Regression Expansions—vShubiao Li, Central Michigan University; Model—❖Todd Bodner, Portland State University Carl Lee, Central Michigan University; Felix Famoye, Longitudinal data, repeated measurements, cluster Central Michigan University data 06 Data Analysis of Virtual Cement Measurements— 18 Large-Cluster Asymptotics for GEE: Working Correlation ❖Adriana Hornikova, National Institute of Standards Models—❖Hyoju Chung, University of Washington; and Technology; Charles Hagwood, National Institute Th omas Lumley, University of Washington of Standards and Technology; Hung-kung Liu, National Institute of Standards and Technology; Blaza Toman, 19 Free SAS/IML® Software for Computing Confi dence National Institute of Standards and Technology; Limits for Power in the Univariate and Multivariate ❖ Nien Fan Zhang, National Institute of Standards and Approaches to Repeated Measures— Jacqueline Technology; Edward J. Garboczi, National Institute of Johnson, Th e University of North Carolina at Chapel Standards and Technology; Jeff rey W. Bullard, National Hill; Matthew Gribbin, Th e University of North Institute of Standards and Technology Carolina at Chapel Hill; Sola Park, Th e University of North Carolina at Chapel Hill; Keith E. Muller, Th e 07 Analysis of Number of Components in Mixture University of North Carolina at Chapel Hill Model—❖Yan Wang, Southern Methodist University; S. Lynne Stokes, Southern Methodist University 20 Goodness-of-Fit Tests for Proportional Odds Model with GEE for Ordinal Categorical Responses— 08 The Impact of Erroneous Inclusion and Exclusion of ❖Junxiang Luo, University of Cincinnati; Rakesh Variables in Multivariate Inference—❖Youfeng Nie, Shukla, University of Cincinnati; Qi Zhang, University Sam Houston State University; Cecil Hallum, Sam of Cincinnati Houston State University
222 JSM 2006 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
21 Latent Class Growth Models: an Application— Sports, art, entertainment Wednesday ❖Maragatha Kuchibhatla, Duke University Medical 27 The Brave New Hockey World: a Statistical Assessment Center; Gerda Fillenbaum, Duke University Medical of NHL Rules Changes—❖Paramjit Gill, Th e University Center of British Columbia 22 Model Selection for the Impact Evaluation of Energy Incomplete data analysis, imputation methods ❖ Effi ciency Programs— Kathryn Parlin, West Hill 28 Statistical Approches To Analyze Censored Data with Energy and Computing, Inc.; Larry Haugh, University of Multiple Detection Limits—❖Wei Zhong, ICON Vermont Clinical Research; Linda Levin, University of Cincinnati; 23 An Empirical Power Analysis of Hierarchical Multivariate Paul Succop, University of Cincinnati; Rakesh Shukla, Linear Model under Three Covariance Structures University of Cincinnati; Jeff rey Welge, University of in Longitudinal Data Analysis—❖Hua Fang, Ohio Cincinnati University; Gordon P. Brooks, Ohio University; Maria L. Rizzo, Ohio University; Robert S. Barcikowski, Ohio University Invited Sessions 4:00 p.m.–5:50 p.m. Probability, mathematical statistics, stochastic processes 24 A General Probability Distribution Using B¸rmann Power 482 CC-Ballroom 6ABC Series—❖Pali Sen, University of North Florida; Richard COPSS Awards and Fisher Lecture—Invited F. Patterson, University of North Florida Committee of Presidents of Statistics Societies (COPSS), The ASA, ENAR, WNAR, IMS, SSC 25 A Modifi ed Asymmetric Simes Procedure for Multiple ❖ Organizer(s): Karen Bandeen-Roche, Th e Johns Hopkins Bloomberg Tests of Signifi cance— Li Deng, New England College School of Public Health of Optometry Chair(s): Karen Bandeen-Roche, Th e Johns Hopkins Bloomberg School of Simulation and Monte Carlo methods Public Health 26 An Examination of the Utility of Bonferroni Adjustments 4:00 p.m. Presentation of Awards—❖Karen Bandeen- for Tests of Regression Coeffi cients—❖Daniel Roche, Th e Johns Hopkins Bloomberg School of Mundfrom, University of Northern Colorado; Jamis Public Health Perrett, University of Northern Colorado; Jay Schaff er, 4:20 p.m. Recombination and Linkage—❖Terence P. Speed, University of Northern Colorado; Adam Piccone, University of California, Berkeley University of Northern Colorado 5:35 p.m. Floor Discussion
We’ll See You Next Year for JSM2007 in Salt Lake City, Utah!
Seattle 223 GENERAL PROGRAM SCHEDULE ✪ Themed Session ● Applied Session ❖ Presenter CC-Washington State Convention & Trade Center H-Grand Hyatt Seattle S-Sheraton Seattle Hotel & Towers
224 JSM 2006