DIA 2026 Global Annual Meeting

Bayesian statistical methods are gaining increasing importance in drug development, with growing regulatory recognition across major global health authorities. Recent developments highlight this momentum: the U.S. Food and Drug Administration (FDA) released a draft guidance in early 2026 on the use of Bayesian methodology in clinical trials, while China’s Center for Drug Evaluation (CDE) issued a draft guidance in 2026 focused on Bayesian approaches for external data borrowing. In parallel, the European Medicines Agency (EMA) has published a concept paper and is currently seeking public consultation (Q1–Q2 2026) as a first step toward developing formal guidance. This session brings together key contributors to these regulatory initiatives to provide a unique, cross-regional perspective on the evolving role of Bayesian design and analysis in informing regulatory decision-making. Speakers will present the scope, principles, and current thinking reflected in their respective documents, as well as discuss areas of alignment, divergence, and ongoing uncertainty across regions. Given that all three agencies are actively shaping their positions, this session offers a timely opportunity for dialogue between regulators and industry. Through case examples and panel discussion, participants will gain insight into how Bayesian methods are being evaluated in practice, including considerations for trial design, external data integration, and evidentiary standards. The session will also highlight opportunities for stakeholder engagement, particularly in the context of EMA’s ongoing public consultation. Attendees will leave with a clearer understanding of global regulatory expectations and practical strategies for incorporating Bayesian approaches into drug development programs in a rapidly evolving regulatory landscape.