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Activity Details


320 * Tue, 8/6/2013, 8:30 AM - 10:20 AM CC-515a
New Methods for Missing Data Analysis — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Allen Heller, Bayer HealthCare Pharmaceuticals
8:50 AM Does Imputation Increase Statistical Power? Wenyaw Chan, The University of Texas-Health Science Center at Houston ; Xiaoying Yu, The University of Texas- Health Science Center at Houston ; Elaine Symanski, The University of Texas-Health Science Center at Houston
9:05 AM How Can We Combine Data Sets With an Unequal Number of Categories? Stef van Buuren, Netherlands Organization for Applied Scientific Research
9:05 AM Imputation of Missing Longitudinal fMRI Data Maria Josefsson ; Anders Lundquist, Umea University, Sweden
9:20 AM A Multiple Imputation Strategy for Sequential Multiple Assignment Randomized Trials Susan Shortreed, Group Health Research Institute ; Eric Laber, NC State University ; Joelle Pineau, McGill University ; Susan Murphy, University of Michigan
9:35 AM Estimation of Phylogenetic Clustering Rates in the Presence of Missing Data Nicole Carnegie, Harvard University ; Rui Wang, Harvard School of Public Health ; Victor DeGruttola, Harvard University ; Vladimir Novitsky, Harvard School of Public Health
9:50 AM Nonparametric Survival Function Estimation in the Presence of Uncertain Endpoints by Using an Internal Validation Subsample Jarcy Zee, University of Pennsylvania Perelman School of Medicine ; Sharon X. Xie, University of Pennsylvania Perelman School of Medicine
10:05 AM Bi-Directionally Imputing Missing Data in Gene Microarrays Mortaza Jamshidian, California State University, Fullerton ; Amol Kumar, California State University, Fullerton



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