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March 13, 2026
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Blog released on “Enhancing Phase 3 Trials Through Bayesian Borrowing”

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Bayesian borrowing in Phase 3 trials formally combines prior evidence with the new trial data to enhance development efficiency and regulatory decision making. This approach requires rigorous statistical modeling, careful selection of historical information, and detailed regulatory dialogue.

Bayesian borrowing in Phase 3 trials enables methodical integration of prior evidence—resulting in trial designs that are both responsive and statistically rigorous.

For REBYOTA, a C. diff therapy, combining Phase 2 and 3 data via a prespecified Bayesian method led to approval, with the FDA label reporting posterior probabilities.

Read the full blog article for more: https://www.berryconsultants.com/resource/enhancing-phase-3-trials-through-bayesian-borrowing

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