FDA Issues Guidance on Modernizing Statistical Methods for Clinical Trials
FDA - Press Release
January 12, 2026
The U.S. Food and Drug Administration today published draft guidance designed to facilitate the use of Bayesian methodologies in clinical trials of drugs and biologics, helping drug developers make better use of available data, conduct more efficient clinical trials, and deliver safe and effective treatments to patients sooner.
"Bayesian methodologies help address two of the biggest problems of drug development: high costs and long timelines,” said FDA Commissioner Marty Makary, M.D., M.P.H. “Providing clarity around modern statistical methods will help sponsors bring more cures and meaningful treatments to patients faster and more affordably.”
Bayesian approaches use a different framework from traditional statistical approaches. In a Bayesian analysis, data from a study are combined with relevant prior information to form a new distribution that can be used for inference and to draw conclusions about safety and efficacy.
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