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Session 2: Challenges and Opportunities for Bayesian Methods in Confirmatory Setting
Session Chair(s)
Min Lin, MD, PhD
Statistical Science Director, Astrazeneca, United States
Karen Lynn Price, PhD
Senior Research Fellow, Statistical Innovation Center/Design Hub, Eli Lilly and Company, United States
The use of Bayesian methods within medical product development has increased significantly in recent years. While Bayesian methods are more routinely used in design, adaptations within a study, analysis, and decision-making at many points throughout the development process, their use in the confirmatory setting is quite limited. Certainly the use of Bayesian methods in the confirmatory setting is no less scientifically valid than traditional approaches, so questions remain as to what we can do to increase the appropriate use of Bayesian methods to improve the medical development process.
In this session we will provide an overview of challenges and opportunities for the use of Bayesian methods in the confirmatory setting. We will explore specific areas of particular opportunity for their use, and discuss best practices for evaluating the operating characteristics of a design that utilizes a Bayesian approach in the confirmatory setting. This session is related to the recent Complex Innovative Design pilot program session, part of the agency’s broader program to modernize drug development, which includes submission of designs that may utilize Bayesian methods.
Speaker(s)
Telba Irony, PhD, MS, MSc
Senior Scientific Director, Quantitative Sciences, Janssen R&D, United States
Speaker
Mark Rothmann, PhD
Division Director, OTS, OB, CDER, FDA, United States
Bayesian Analysis in Pediatric Settings
Melanie Quintana, PhD
Director & Senior Statistical Scientist, Berry Consultants, LLC, United States
Benefits and Complexities of a Bayesian Analysis in Confirmatory Trials
J. Kyle Wathen, PhD, MS
Vice President, Scientific Strategy and Product Innovation, Cytel Inc., United States
A Bayesian Approach in the Non-Inferiority Setting
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