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Session Chair(s)
Peiling Yang, PHD
Supervisory Mathematical Statistician
FDA, United States
Learning Objective : Recognize the impact of missing data on the trial outcomes; Describe alternative approaches to mitigate dropouts; Explain how to pre-specify computer algorithms and capture simulated data values in ADaM.
Speaker(s)
Balaji Parameshvaran, MD
DIA, United States
Senior AMS Manager
Design Consideration to Drop Out Problem in Psychiatric Trials
Jinglin Zhong, PHD
FDA, United States
Mathematical Statistician, Office of Biostatistics, OTS, CDER
Academic Perspective
Sonia Davis, DrPH
RTI International, United States
Senior Research Statistician
Pre-specified, Traceable and Reproducible Multiple Imputation and Pattern Mixture Models Using ADaM and Define.XML
Mat D. Davis, PHD, MS
Teva, United States
Associate Director, Biostatistics
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