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Activity Details


308 Tue, 8/6/2013, 8:30 AM - 10:20 AM CC-512ab
Methods for Longitudinal Studies and/or Missing Data — Contributed Papers
Biopharmaceutical Section , International Chinese Statistical Association , Biometrics Section
Chair(s): Kevin Lawson, PPD INC
8:35 AM Modeling High-Dimensional Longitudinal Data with Structural Equation Modeling — Xinming An, SAS Institute ; Yiu-Fai Yung, SAS Institute ; Qing Yang, UCLA
8:50 AM Joint Modeling of Multivariate Longitudinal Measurements and Survival Data with Applications to Parkinson's Disease Sheng Luo, The University of Texas Health Science Center at Houston ; Bo He, The University of Texas at Houston
9:05 AM Constrained Longitudinal Data Analysis as an Alternative to Multiple Imputation for Handling Missing Data in Randomized Clinical Trials Jin Xu, Merck
9:20 AM Marginal Treatment Effect Estimation Using Pattern Mixture Model Zhenzhen Xu, FDA
9:35 AM Applying Weighted GEE for Sample-Size Estimation in Repeated Measurement Studies with Dropout Anna Sun, UMBC
9:50 AM Sensitivity Analyses in Clinical Trials via Pattern-Mixture Models Using Standard SAS Procedures for Multiple Imputations: How Much We Improve Over LOCF? Anjela Tzontcheva, Merck
10:05 AM Assessing a Treatment Effect in Light of Rescue Therapy Judy Li, FDA ; Jerry John Weaver, Novartis Pharmaceuticals Corporation ; David I. Ohlssen, Novartis Pharmaceuticals Corporation



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