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564 * Wed, 8/6/2014, 2:00 PM - 3:50 PM CC-257A
Modeling, Simulations, Predictions, and Pro for Labeling — Contributed Papers
Biopharmaceutical Section
Chair(s): Chul Ahn, FDA-CDRH   
2:05 PM Using Simulation to Compare Performance of Various Variable Selection Methods on Disease Risk Scores, Propensity Scores, and Log-Binomial Regression In-Lu Amy Liu, Kaiser Permanente ; Jiaxiao Shi, Kaiser Permanente ; Wansu Chen, Kaiser Permanente
2:20 PM Have Biostatisticians Ceded the High Ground to Modelers, and Can We Get It Back? David Raunig, ICON Medical Imaging
2:35 PM Residual Weighted Learning for Estimating Individualized Treatment Rules Xin Zhou, University of North Carolina at Chapel Hill ; Michael Kosorok, University of North Carolina at Chapel Hill
2:50 PM Comparisons of Various Techniques in Propensity Score Estimation Using Simulation Jiaxiao Shi, Kaiser Permanente ; Wansu Chen, Kaiser Permanente
3:05 PM Predicting Subject-Specific Outcome via an Optimal Stratification Procedure with Baseline Covariates Florence Yong, Harvard ; Lu Tian, Stanford University ; Sheng Yu, Harvard ; Lee Jen Wei , Harvard
3:20 PM Designing Confirmatory Study Using Historical Data on Short-Term and Long-Term Endpoints Jiang Qian, AbbVie ; Qin Qin, AbbVie ; Xuan Liu, AbbVie
3:35 PM Patient-Reported Outcomes: Statistical Considerations in Seeking a Labeling Claim Isaac Nuamah, Janssen



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