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Sunday, 08/01/2010
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Nonparametric Regression with Missing Data
Sam Efromovich, UT Southwestern Medical Center
2:05 PM
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Statistical Issues of Measuring and Monitoring Childhood Obesity from Administrative Records: The New York City FITNESSGRAM
Kevin J. Konty, New York City Department of Health and Mental Hygiene
2:20 PM
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Partnership in New Drug Developments
Ji Zhang, Sanofi-Aventis; Hui Quan, sanofi-aventis; Alex Boddy, sanofi-aventis; Peng-Liang Zhao, sanofi-aventis; Stan Young, National Institute for Statistical Science
2:25 PM
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Likelihood-Based Methods to Detect Maternal-Fetal Genotype Effects in Families
Janet Suzanne Sinsheimer, University of California, Los Angeles; Erica Childs, University of California, Los Angeles; Christina Palmer, University of California, Los Angeles; Kenneth Lange, University of California, Los Angeles
2:25 PM
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Semiparametric Bayesian Analysis of Gene-Environment Interactions with Error in Measurement of Environmental Covariates and Missing Genetic Data
Iryna Lobach, New York University School of Medicine; Bani K. Mallick, Texas A&M University; Raymond Carroll, Texas A&M University
2:25 PM
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Multiple Imputation Framework for Combining Data from Multiple Sources
Trivellore Raghunathan, University of Michigan
3:20 PM
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Issues of Missing Data in Orthopedic Implant Clinical Trials: A Regulatory Reviewer's Perspective
Jianxiong Chu, FDA
4:25 PM
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Multiscale Nonparametric Spectrum Estimation with Missing Observations
Thomas C.M. Lee, University of California, Davis; Zhengyuan Zhu, Iowa State University
4:45 PM
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Monday, 08/02/2010
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Evaluating Endpoint Determination and Approaches for Handling Missing Data in Pain Trials
Lindsey Lian, PPD, Inc.; Benjamin Luke Peterson, PPD, Inc.
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Handling Missing Data in a Longitudinal Community Epidemiological Study of Urban Children's Exposure to Violence
Lingqi Tang, University of California, Los Angeles; Thomas R. Belin, University of California, Los Angeles; Michele Cooley-Strickland, University of California, Los Angeles Center for Culture and Health
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Inference for Kappas for Longitudinal Study Data: Applications to Sexual Health Research
Yan Ma, Hospital for Special Surgery, Weill Medical College of Cornell University; Wan Tang, University of Rochester; Changyong Feng, University of Rochester Medical Center; Xin M. Tu, University of Rochester
8:50 AM
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Evaluating Imputation Methods and Software for Missing Vaccination Data in the National Immunization Survey
Taylor Lewis, National Center for Health Statistics; Meena Khare, National Center for Health Statistics
8:50 AM
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Modeling Batched Gaussian Longitudinal Data Subject to Informative Dropout
Paul S. Albert, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Joanna H. Shih, National Cancer Institute
8:55 AM
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Handling Missingness and Informative Cluster Sizes When Modeling Prevalence and Force of Infection
Marc Aerts, Hasselt University; Christel Faes, Hasselt University; Niel Hens, Hasselt University; Geert Molenberghs, I-BioStat
9:15 AM
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Analysis of Constrained Generalized Linear Models with Missing Data
Karelyn Davis, Carleton University/Health Canada; Sanjoy Sinha, Carleton University; Chul Gyu Park, Carleton University
9:35 AM
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Evaluation of Common Statistical Methods in Randomized Delayed-Start Design of Progression Disease Clinical Trials
Bongin Yoo, Bristol-Myers Squibb; Thomas Kelleher, Bristol-Myers Squibb
9:35 AM
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Maximum Likelihood Estimation in Generalized Linear Models with Censored Covariate Data
Ryan May, The University of North Carolina at Chapel Hill; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill; Haitao Chu, The University of North Carolina at Chapel Hill
9:50 AM
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A New Approach to Protect Confidentiality for Census Microdata with Missing Values
Yajuan Si, Duke University; Jerome P. Reiter, Duke University
10:35 AM
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Spectral Regularization Algorithms for Learning Large Incomplete Matrices
Rahul Mazumder, Stanford University; Trevor Hastie, Stanford University; Rob Tibshirani, Stanford University
2:05 PM
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Examining the Challenges of Missing Data Analysis in Phase Three of the Agricultural Resource Management Survey
Darcy Miller, National Agricultural Statistics Service
2:05 PM
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Bayesian Meta-Analysis of Genetic Association Studies: Effective Combining Evidence and Efficent Handling Missing Data
Xiaoquan Wen, The University of Chicago; Matthew Stephens, The University of Chicago
2:05 PM
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Analysis of Recurrent Event Data in the Presence of Terminal Events and Missing Covariates
Shankar Viswanathan, The University of North Carolina at Chapel Hill; Jianwen Cai, The University of North Carolina at Chapel Hill
2:20 PM
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Innovative Imputation Techniques Designed for the Agricultural
Michael Robbins, National Institute of Statistical Sciences
2:25 PM
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An Assessment of Imputation Methods for the USDA's Agricultural Resource Management Survey
Sujit Kumar Ghosh, North Carolina State University; Barry Goodwin, North Carolina State University; Joshua D. Habiger, National Agricultural Statistics Service/National Institute of Statistical Sciences; Timothy Paul Keller, National Agricultural Statistics Service; Darcy Miller, National Agricultural Statistics Service; Michael Robbins, National Institute of Statistical Sciences; Kirk White, National Agricultural Statistics Service
2:45 PM
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A Semiparametric Approach to Inference with Nonignorable Missing Data Using Surrogate Information
Sixia Chen, Iowa State University; Jae-Kwang Kim, Iowa State University
2:50 PM
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Estimation in ARCH Models with Missing Data: Applications to Latin-American Capital Markets
Natalia Bahamonde, Pontificia Universidad Católica de Valparaiso
2:50 PM
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The Variance Calculation Following Multiple Imputation: Illustration with Cholera Mortality Data Collected by John Snow
James A. Hanley, McGill University; Juli Atherton, McGill University
2:50 PM
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Case-Parent Triad Studies of Genetic Association and Gene-Gene Interaction in the Presence of Missing Data
Tracy L. Bergemann, University of Minnesota; Matthew Deyo-Svendsen, University of Minnesota
2:50 PM
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Evaluation of Methods for Dealing with Outcome Missing Data in Random Controlled Trials
Breda Munoz, RTI International; Virginia M. Lesser, Oregon State University; James Hersey, RTI International
3:05 PM
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Hot-Deck Multiple Imputation via Predictive Moment Matching
Chia-Ning Wang, University of Michigan; Roderick Joseph Little, University of Michigan
3:20 PM
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On Modeling and Estimation of Response Probabilities When Missing Data Are Not Missing at Random
Michail Sverchkov, Bureau of Labor Statistics
3:35 PM
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Improving the Performance of the Generalized Score Tests in Longitudinal Studies with Missing Data
Kumar B. Rajan, Rush Institute for Healthy Aging ; Carlos F. Mendes de Leon , Rush Institute for Healthy Aging
3:35 PM
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Tuesday, 08/03/2010
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Constrained Estimation with Distorted Data by the Least-Squares Criterion
Luis Frank, University of Buenos Aires
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Unconditional Estimating Equation Approach for Missing Covariates Under Ignorable Missingness
Lin Lu, Quintiles; Peiyong (Annie) Qu, University of Illinois at Urbana-Champaign; David S. Birkes, Oregon State University
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Estimation in Hierarchical Models with Incomplete Ordinal Response and Ordinal Covariates
Yong Zhang, University of Michigan; Trivellore Raghunathan, University of Michigan
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Methods in Analyzing Missing Data in Monitoring Populations
Michael Soma, U.S. Geological Survey; Doug Johnson, U.S. Geological Survey
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Causal Inference in Observational Studies with Missing Data: A Bayesian Nonparametric Approach
Jennifer Hill, New York University; Jose Zubizarreta, The Wharton School, University of Pennsylvania
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Balancing Competing Objectives for a Good Designed Experiment
Christine M. Anderson-Cook, Los Alamos National Laboratory
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Multiple Imputation for Microarray Missing Data with Slice Sampler
Hui Xie, Pennington Biomedical Research Center; Leann Myers, Tulane University; Steven Smith, Pennington Biomedical Research Center; Janet Rice, Tulane University; Michelle Lacey, Tulane University
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An Informatics Center for Online Longitudinal Data Analysis
Edward C. Chao, Data Numerica Institute, Inc.; Tao Qi, Annpro Analytic Technologies, Inc.
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Disparity-Aided Robust and Efficient Inference for Adaptive Designs with Covariates
Anand Vidyashankar, George Mason University
8:35 AM
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Doubly robust inference with missing data in survey sampling
Jae-Kwang Kim, Iowa State University; David Haziza, Université de Montréal
9:00 AM
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Estimating Colorectal Cancer Screening in the Presence of Missing Data in a Population with a Resistant Subset and Multiple Observations
Yolanda Cecile Hagar, University of California, Davis; Laurel Beckett, University of California, Davis; Danielle Harvey, University of California, Davis School of Medicine; Joshua Fenton, University of California, Davis School of Medicine
9:05 AM
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Multiple Imputation for Regression Models with Interaction
Soeun Kim, University of California, Los Angeles; Thomas R. Belin, University of California, Los Angeles; Catherine A. Sugar, University of California, Los Angeles School of Public Health
9:20 AM
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A Frailty-Model-Based Approach to Estimating the Age-Dependent Penetrance Function of a Gene Mutation Using Family-Based Study Designs
Yun-Hee Choi, The University of Western Ontario; Laurent Briollais, Samuel Lunenfeld Research Institute
9:35 AM
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Assessing the Impact of Missing Data on Variance Estimates for the Medical Expenditures Panel Survey: Insurance Component (MEPS-IC)
Matthew Thompson, U.S. Census Bureau; Anne Kearney, U.S. Census Bureau
10:05 AM
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Longitudinal Data Analysis: Tackling Dropouts and Those Pesky Outliers
Devan V. Mehrotra, Merck Research Laboratories; Xiaoming Li, Merck Research Laboratories; Jiajun Liu, Merck Research Laboratories
10:50 AM
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A Multiple Imputation Model for Ascertaining Chronic Disease Cases in Administrative Data: Application to Osteoporosis
Lisa M. Lix, University of Saskatchewan; Heather J. Prior, Manitoba Centre for Health Policy; Chel Hee Lee, University of Saskatchewan; Marina Yogendran, Manitoba Centre for Health Policy
10:50 AM
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Handling Missing Data in Rheumatoid Arthritis Trials
Guoguang Ma, Amgen Inc.; Liyun Ni, Amgen Inc.; Ling Chen, Washington University School of Medicine
11:05 AM
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Group-Based Trajectory Modeling Extended to Account for Nonrandom Subject Attrition
Amelia Haviland, RAND Corporation; Daniel Nagin, Carnegie Mellon University; Bobby Jones, Carnegie Mellon University
11:05 AM
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Use Multiple Imputation to Handle Missing Data in Longitudinal Clinical Trials with Multiple Correlated Endpoints
Yahong Peng, Pfizer Inc.; Lian Liu, Roche Product Development in Asia Pacific; Ruifeng Xu, Merck Research Laboratories
11:20 AM
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Evaluating the Effect of Early vs. Late ARV Regimen Change After Failing on an Initial Regimen: Results from the AIDS Clinical Trials Group Study A5095
Li Li, Emory University; Brent Johnson, Emory University; Joseph Eron, The University of North Carolina at Chapel Hill; Heather Ribaudo, Harvard University; Roy Gulick, Cornell University
11:20 AM
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Estimation Bias in Complete-Case Analysis in Crossover Studies with Missing Data
Fang Liu, Merck Research Laboratories
2:05 PM
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Missing Data in Clinical Trials
Herbert Thijs, I-Biostat
2:05 PM
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Analysis of a 2-by-2 Crossover Trial of Binary Data with Missing Values Using Multiple Imputation
Junxiang Luo, Eli Lilly and Company; Timothy Costigan, Eli Lilly and Company; Eileen Brown, Eli Lilly and Company
2:20 PM
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Missing Data in a Large Long-Term Clinical Trial: A Case Study
Dacheng Liu, Boehringer Ingelheim Pharmaceuticals, Inc.
2:25 PM
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Imputation Strategies for Missing Binary Outcomes in Cluster Randomized Trials
Jinhui Ma, McMaster University; Noori Akhtar-Danesh, McMaster University; Lisa Dolovich, McMaster University; Lehana Thabane, McMaster University
2:35 PM
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A Test of Missing Completely at Random for Regression Data with Nonresponse
Gong Tang, University of Pittsburgh
2:45 PM
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Missing Data Methodology: Past, Present, and Future Trends
Cristina Labrador Sotto, I-Biostat
2:45 PM
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Robust Multiple Imputation Based on Bayesian Bootstrap Predictive Mean Matching
Florian Koller-Meinfelder, Universität Bamberg
2:50 PM
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Addressing the Missing Data Problem in Clinical Trials
Linda Yau, Genentech
3:25 PM
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Wednesday, 08/04/2010
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Gerontologic Biostatistics: Application and Resources
Heather Gwynn Allore, Yale University
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A Bayesian Generalized Linear Mixed Model for HIV-1 Vaccine Immune Response with Missing Data
Sydeaka Patrice Watson, Baylor University; John Seaman, Baylor University; James Stamey, Baylor University; Bette Korber, Los Alamos National Laboratory; Mark Muldoon, University of Manchester
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Multilevel Modeling of Follow-Up Studies with Missing Data
Monica Michelle Bennett, Baylor University; John Seaman, Baylor University; James Stamey, Baylor University
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Bayesian Extension of Fisher's Exact Test in the Presence of Missing Data
Heather Yan Lin, MD Anderson Cancer Center; Stuart R. Lipsitz, Brigham and Women's Hospital; Debajyoti Sinha, Florida State University; Garrett Fitzmaurice, Harvard Medical School; Stephen Lipshutlz, University of Miami Miller School of Medicine; J. Jack Lee, MD Anderson Cancer Center
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Handling of Missing Data in Clinical Trials: Findings of a National Research Council Study
Roderick Joseph Little, University of Michigan
8:35 AM
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Choice of Estimand, Trial Design, and Trial Conduct
James D. Neaton, University of Minnesota
9:00 AM
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Analysis and Sensitivity Analysis for Incomplete Data
Geert Molenberghs, I-BioStat
10:35 AM
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Evaluating Statistical Hypotheses Using Nonidentifiable Estimating Functions
Guanqun Cao, Michigan State University; David Todem, Michigan State University; Lijian Yang, Michigan State University; Jason Peter Fine, The University of North Carolina at Chapel Hill
11:35 AM
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Simulation of Incorporating the Variance from Missing Data in Census Coverage Measurement (CCM) Variance Estimates
Richard Griffin, U.S. Census Bureau
11:50 AM
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Adaptive Dose Finding Using the 'Maximizing Procedure': Case Study and Missing Data Simulation
Kenneth Liu, Merck & Co., Inc.
2:25 PM
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The Role of Bayesian Statistics in Confirmatory Drug Development Trials
David Ohlssen, Novartis Pharmaceuticals Corporation
2:30 PM
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Statistical Design, Sampling Weights, and Weight Adjustments of the School Physical Activity and Nutrition (SPAN) Population-Based Surveillance 2009--2010 Study
Adriana Perez, The University of Texas School of Public Health; Deanna M. Hoelscher, Michael & Susan Dell Center for Advancement of Healthy Living; Ralph F. Frankowski, The University of Texas School of Public Health; R. Sue Day, The University of Texas School of Public Health; Eun Sul Lee, Oregon Health & Science University
2:50 PM
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Estimating Case Fatality Ratios from Infectious Disease Surveillance Data
Nicholas G. Reich, The Johns Hopkins University; Justin Lessler, The Johns Hopkins University; Ron Brookmeyer, The Johns Hopkins University
3:05 PM
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A Self-Consistent Approach for Nonparametric Spectral Density Estimation with Missing Data
Zhengyuan Zhu, Iowa State University; Thomas C.M. Lee, University of California, Davis
3:05 PM
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Thursday, 08/05/2010
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An Improved Analytic Method for 2x2 Crossover Trials with Potential Missing Data
Yu Ding, Merck Research Laboratories; Yang Liu, Merck Research Laboratories; Devan V. Mehrotra, Merck Research Laboratories; John Palcza , Merck Research Laboratories
8:35 AM
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Statistical Analysis Considerations in Device Trial Planning
Helen Marie Chmiel, Zimmer, Inc.; Kim Perry, Innovative Analytics
8:50 AM
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Impact of Missing Data on the Analysis of Crossover Data
Anjela Tzontcheva, Merck & Co., Inc.; Mahtab Marker, Merck & Co., Inc.
9:05 AM
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Some Theory for the Propensity Scoring Adjustment Estimator
Jae-Kwang Kim, Iowa State University; Minsun Kim, Iowa State University; Jay Breidt, Colorado State University
9:35 AM
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Test of Missing Data Mechanism
Keiji Takai, Kansai University
9:35 AM
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A Semiparametric Estimation of Mean Function with Nonignorable Missing Data
Cindy Long Yu, Iowa State University
10:35 AM
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Inverse Probability Weighting for Clustered Nonresponse
Chris Skinner, University of Southampton
10:35 AM
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Reducing Parameter Estimation Bias for Data with Missing Values Using Simulation Extrapolation
YU-YI Hsu, Iowa State University; Yongming Qu, Eli Lilly and Company; Alicia Carriquiry, Iowa State University
10:35 AM
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Estimation in State-Space Models with Exogenous Covariates and Missing Data
Arlene Naranjo, University of Florida; Mildred M. Maldonado-Molina, University of Florida; Kelli A. Komro, University of Florida; A. Alexandre Trindade, Texas Tech University; George Casella, University of Florida
10:50 AM
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Multiple Imputation for Missing Values in Microarray Data
Richard Kennedy, The University of Alabama at Birmingham; Hemant K. Tiwari, The University of Alabama at Birmingham
11:35 AM
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Impact of Missing Data on Type 1 Error Rates in Noninferiority Trials
Bongin Yoo, Bristol-Myers Squibb
11:35 AM
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