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Monday, 08/02/2010
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A Multiple Imputation Approach for Estimating Rank Correlation with Left-Censored Data
John M. Williamson, CDC; Sara B. Crawford, Valparaiso University; Hung-Mo Lin, Mount Sinai School of Medicine
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Utilizing Multiple Imputation for Missing Race in the Active Bacterial Core Surveillance (ABCs) System
Melissa Lewis, CDC; Tracy Pondo, CDC; Elizabeth R. Zell, CDC
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Modeling Menstrual Cycle Length at the Approach of Menopause Using Bayesian Changepoint Models
Xiaobi Huang, University of Michigan; Michael R. Elliott, University of Michigan
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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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Causal Inference Using Semi-parametric Imputation
Andrea Piesse, Westat; David Judkins, Westat; Laura Alvarez-Rojas, Westat; William R. Shadish, University of California, Merced
8:35 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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Multiple Imputation for causal Inference
Irina Bondarenko, University of Michigan; Trivellore Raghunathan, University of Michigan
8:50 AM
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Multiple Imputation for Missing Values Through Conditional Semiparametric Odds Ratio Models
Hua Yun Chen, University of Illinois at Chicago; Hui Xie, University of Illinois at Chicago
9:35 AM
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What Can We Do When EM Is Not Applicable? Self Consistency: A General Recipe for Semiparametric and Nonparametric Estimation with Incomplete and Irregularly Spaced Data
Xiao-Li Meng, Harvard University
10:35 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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Performing Hypothesis Tests with Multiply Imputed Data
Xianchao Xie, Harvard University; Xiao-Li Meng, Harvard University
10:50 AM
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Nested Multiple Imputation in the Active Bacterial Core Surveillance System
Tracy Pondo, CDC; Elizabeth R. Zell, CDC; Chris A. Van Beneden, CDC; Benjamin J. Silk, CDC
2:05 PM
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Estimating Technology Adoption and Aggregate Volumes from U.S. Payments Surveys in the Presence of Complex Item Nonresponse
May X. Liu, Federal Reserve Board; Geoffrey R. Gerdes, Federal Reserve Board
2:20 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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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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Incorporating Nonresponse Follow-Up Into a Main Survey Data Set
Shin-Jung Lee, University of Michigan; James Lepkowski, University of Michigan; Kristen Olson, University of Nebraska-Lincoln; Dandan Zhang, Westat
3:20 PM
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Tuesday, 08/03/2010
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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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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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Sharing Precise Geographies in Public Use Data
Hao Wang, Duke University; Jerome P. Reiter, Duke University
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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Weights, Double Protection, and Multiple Imputation
Phillip S. Kott, RTI International ; Ralph E. Folsom, RTI International
9:25 AM
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Analysis of Missing Mechanism in IVUS Imaging Clinical Trials with Missing Covariates
Tianyue Zhou, sanofi-aventis; Ming-Xiu Hu, Millennium Pharmaceuticals, Inc.
10:35 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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Variable Selection for Multiply-Imputed Data
Qixuan Chen, Columbia University; Sijian Wang, University of Wisconsin-Madison
10:55 AM
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Multiple Imputation of Disease Status Based on a Two-Phase Sample Design
Steven G. Heeringa, University of Michigan
11:15 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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Multiple Imputation Method for Disclosure Limitation in Longitudinal Data
Di An, Merck & Co., Inc.; Roderick Joseph Little, University of Michigan; James W. McNally, University of Michigan
11:35 AM
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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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Full Bayesian Procedure for File Linking to Analyze End-of-Life Medical Costs
Roee Gutman, Harvard University; Alan Zaslavsky, Harvard Medical School
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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Combining Information on Adjuvant Cancer Therapies from Multiple Sources to Correct Misreporting
Yulei He, Harvard Medical School; Alan Zaslavsky, Harvard Medical School
9:05 AM
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Using SRMI for Nonresponse Adjustments in IRS' Taxpayer Compliance Studies
Karen Masken, IRS; Wei Liu, IRS; Getaneh Yismaw, IRS
9:20 AM
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Multivariate Imputation Methods for Agricultural Resource Management Survey (ARMS) Data
Sujit Kumar Ghosh, North Carolina State University; Michael Robbins, National Institute of Statistical Sciences; Joshua D. Habiger, National Agricultural Statistics Service/National Institute of Statistical Sciences; Darcy Miller, National Agricultural Statistics Service
10:35 AM
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Empirical Imputation: A New Imputation Method Model
Yijie Xue, The University of Georgia; Nicole Lazar, The University of Georgia
11:20 AM
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