Peer-Reviewed Publication
Ther Innov Regul Sci2026October 7, 2026Journal Article

Perspectives on the Use of a Bayesian Approach in Designing Seamless Phase 2/3 Clinical Trials with Dose Selection, Early Stopping for Futility and Efficacy, or Sample Size Re-estimation.

Natalia Muehlemann1, Jan Priel2, Marc Vandemeulebroecke3, David Ohlssen4, Yun Wang5, Alexei Ionan5
1Curie.Bio, Cambridge, MA, USA. natasha@curie.bio.
2Cytel Inc., Cambridge, MA, USA.
3Statistical Innovation, Bayer BCC, Basel, Switzerland.
4Advanced Quantitative Science, Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA.
5Office of Biostatistics, Center for Drug Evaluation and Research, Food and Drug Administration (FDA), Silver Spring, MD, USA.

Abstract

Seamless Phase 2/3 clinical trial designs have become an increasingly attractive strategy to improve development efficiency by reducing the time between development phases and enabling the reuse of early-stage data in confirmatory analyses. In parallel, Bayesian methods have gained attention for their ability to support adaptive decision-making under uncertainty, particularly in complex trial desi…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.