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Webinar: Biostatistics & Bioinformatics Seminar – ‘TEA prior: A Bayesian Approach with Application for Adaptive Platform Trials Having Temporal Changes’

September 28, 12:00 pm to 1:00 pm

Presented by: Chenguang (CG) Wang, PhD, Senior Director, Head of Statistical Innovation Biostatistics & Data Management, Regeneron Pharmaceuticals, Inc.

About the presentation: Temporal changes exist in clinical trials. Over time, shifts in patients’ characteristics, trial conduct, and other features of a clinical trial may occur. In typical randomized clinical trials, temporal effects, i.e., the impact of temporal changes on clinical outcomes and study analysis, are largely mitigated by randomization and usually need not be explicitly addressed. However, temporal effects can be a serious obstacle for conducting clinical trials with complex designs, including the adaptive platform trials that are gaining popularity in recent medical product development. In this work, we introduce a Bayesian robust prior for mitigating temporal effects based on a hidden Markov model and propose a particle filtering algorithm for computation. We conduct simulation studies to evaluate the performance of the proposed method and provide illustration examples based on trials of Ebola virus disease therapeutics and hemostat in vascular surgery.

Attend in-person in Room 2200G in ASB or via Zoom or phone.

To join via Zoom, visit
To join via the telephone, dial 929-205-6099
The meeting ID is 948 6098 2030, and the passcode to enter seminar is 320367


September 28
12:00 pm to 1:00 pm
Event Category:


Department of Public Health Sciences
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