The 2026 FDA Workshop on Bayesian Methods in Clinical Trials is a specialized event organized by the U.S. Food and Drug Administration (FDA). This workshop aims to provide a comprehensive understanding of Bayesian statistical methodologies and their application in the design and analysis of clinical trials for drugs and biological products.
Key topics covered in the workshop include the integration of prior information into current trial data, adaptive trial designs, and the use of Bayesian methods to enhance decision-making processes. Sessions will delve into practical aspects such as determining futility or success earlier in adaptive trials, informing design elements like dose selection, and incorporating information from previous clinical studies or real-world evidence.
Attendees will have opportunities to engage in networking sessions, participate in panel discussions with FDA statisticians and industry experts, and explore case studies demonstrating successful implementation of Bayesian approaches in clinical trials. Notable speakers will include leading statisticians and regulatory professionals specializing in innovative trial designs.
This workshop is ideal for clinical researchers, biostatisticians, regulatory affairs professionals, and pharmaceutical industry stakeholders interested in modernizing clinical trial methodologies. Participants will gain valuable insights into the FDA's perspective on Bayesian methods and learn how to apply these approaches to improve trial efficiency and effectiveness.
Speakers(7)
Alexandra Sokolova
Co-author of the paper 'Some Bayesian Perspectives on Clinical Trials'.
Li Wang
Co-author of the paper 'On the Calibration of Bayesian Success Criteria and Operating Characteristics for Clinical Trials'.
Nick Polson
Co-author of the paper 'Some Bayesian Perspectives on Clinical Trials'.
Peng Yang
Co-author of the paper 'On the Calibration of Bayesian Success Criteria and Operating Characteristics for Clinical Trials'.
Vadim Sokolov
Co-author of the paper 'Some Bayesian Perspectives on Clinical Trials'.
Ying Yuan
Co-author of the paper 'On the Calibration of Bayesian Success Criteria and Operating Characteristics for Clinical Trials'.
Yuan Ji
Ph.D.
Author of the paper 'Regulatory Expectations for Bayesian Methods in Drug and Biologic Clinical Trials: A Practical Perspective on FDA's 2026 Draft Guidance'.
Event Details
- Date
- January 21, 2026
- Location
- 🇺🇸 United States
- Audience
- Clinical researchers, biostatisticians, regulatory affairs professionals, pharmaceutical industry stakeholders