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63 * Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Power and Sample Size: Methods and Applications — Contributed Papers
Biopharmaceutical Section
Chair(s): John J. Han, Janssen / Johnson & Johnson
Sample Size and Power Estimation in a Rare Disease Trial Using Mixture of Negative Binomial Distributions
Aparna Raychaudhuri, CSL Behring; Sergei Leonov, CSL Behring; Harald Iverson, CSL Behring
Calculating Power for the Finkelstein and Schoenfeld Test Statistic for a Composite Endpoint with Two Components
Thomas Zhou, Boston University; Michael P LaValley, Boston University; Kerrie P Nelson, Boston University; Howard Cabral, Boston University; Joseph M Massaro, Boston University
Sample Size and Power Computations Methods for Two-Stage Randomized Trial, with Focus on Time-to-Event Data
Rouba Chahine, University of Alabama at Birmingham; Inmaculada Aban, University of Alabama at Birmingham; Dustin Long, University of Alabama at Birmingham
Model-Robust Inference for Clinical Trials That Improve Precision by Stratified Randomization and Adjustment for Additional Baseline Variables
Bingkai Wang, Johns Hopkins Bloomberg School of Public Health; Michael Rosenblum, Johns Hopkins Univ, Bloomberg School of Public Health
Improved Analyses of Randomized Clinical Trials with Stratified Enrollment
Devan Mehrotra, Merck; Rachel Marceau West, Merck Research Laboratories; Julie Kobie, Merck & Company Inc
Power Formulas for Mixed Effects Models with Random Slope and Intercept Comparing Rate of Decline Across Groups
Yu Zhao, UC-San Diego; Sarah J Banks, UC San Diego; Mark W Bondi, UC San Diego; Steven D Edland, UC San Diego
Uncover Evidence in Real World Data with Uncertain Genetic Information
Wei Zhuang, NCTR, FDA