Legend: CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
Activity Details
299
Tue, 7/30/2019,
8:30 AM -
10:20 AM
CC-111
Estimands and Imputations Methods — Contributed Papers
Biopharmaceutical Section
Chair(s): Weichao Bao, GlaxoSmithKline
8:35 AM
An Approach to Multiple Imputation That Avoids the Inclusion of an Outcome in the Imputation Model
Monelle Tamegnon, Janssen R&D
8:50 AM
Missing Data Imputation with Baseline Information in Longitudinal Clinical Trials
Yilong Zhang, Merck ; Zachary Zimmer, Merck; Lei Xu, Merck; Gregory Golm, Merck; Raymond Lam, Merck; Susan Huyck, Merck; Frank G Liu, Merck Sharp & Dohme Inc.
9:05 AM
Using the Retrieved Dropout Approach for Estimating a Treatment Policy Estimand
Ruvie Martin, Novartis Pharmaceuticals ; Bjoern Bornkamp, Novartis Pharmaceuticals
9:20 AM
Missing Data Approaches for Estimating Treatment Effect for Binary Data
Anindita Banerjee, Pfizer ; Vivek Pradhan, Pfizer; Arnab Maity, Pfizer
9:35 AM
Considerations for the Use of Multiple Imputation in a Noninferiority Trial Setting
Kimberly Walters, Statistics Collaborative, Inc. ; Jie Zhou, Statistics Collaborative, Inc.; Janet Wittes, Statistics Collaborative, Inc; Lisa Weissfeld, Stats Collaborative
9:50 AM
Identifying Treatment Effects Using Trimmed Means When Data Are Missing Not at Random
Alex Ocampo, Harvard University
10:05 AM
Imputation Strategies When a Continuous Outcome Is to Be Dichotomized for Responder Analysis: a Simulation Study
Lysbeth Floden, University of Arizona ; Melanie Bell, University of Arizona
