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184 ! Mon, 8/4/2014, 10:30 AM - 12:20 PM CC-252B
Modern Methods in Missing Data Imputation — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Yan Ma, Weill Medical College of Cornell University   
10:35 AM On Optimal Imputation Strategies for Natural Effect Models Probing Mediation Johan Steen, Ghent University ; Tom Loeys, Ghent University ; Beatrijs Moerkerke, Ghent University ; Stijn Vansteelandt, Ghent University
10:50 AM Issues When Using Multilevel Multiple Imputation to Handle Missing Binary Data in Cluster Randomized Trials Jinhui Ma, Children's Hospital of Eastern Ontario ; Monica Taljaard, Ottawa Hospital Research Institute ; Lisa Dolovich, McMaster University ; Janusz Kaczorowski, McMaster University ; Larry Chambers, Élisabeth Bruyère Research Institute ; Lehana Thabane, McMaster University
11:05 AM A Framework for Integrating Multiple Imputation and the Bootstrap Susan Shortreed, Group Health Research Institute ; Russell Steele, McGill University
11:20 AM A Simple Method for Estimating the Odds Ratio with Incomplete Paired Data Stephen Looney, Georgia Regents University ; Kelly M. Miller, Georgia Regents University
11:35 AM Comparative Studies for Cox Hazards Model Based on the Suita Study Michikazu Nakai, National Cerebral and Cardiovascular Center ; Yuhlong Lio, University of South Dakota ; Din Chen, University of Rochester ; Kunihiro Nishimura, National Cerebral and Cardiovascular Center ; Makoto Watanabe, National Cerebral and Cardiovascular Center ; Yoshihiro Miyamoto, National Cerebral and Cardiovascular Center
11:50 AM Increase Chance for Recovery vs. Risk Reduction Lev S. Sverdlov, Redmond Analytics
12:05 PM Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling Ran Tao ; Danyu Lin, University of North Carolina ; Donglin Zeng, University of North Carolina at Chapel Hill



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