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.

In this episode of "In the Interim…", Dr. Scott Berry and Dr. Kert Viele examine Bayesian borrowing in Phase 3 clinical trials, focusing on statistical handling of prior information and real-world FDA interactions.

In Episode 51 of "In the Interim…", Dr. Scott Berry interviews writer, producer, and performer Shaun Cassidy to examine the practical elements of storytelling that matter in scientific and statistical communication.

A rigorous review of ordinal endpoint analyses, showing every approach—utility weighting, proportional odds, dichotomization, or non-parametric—inevitably assigns relative weights to outcome states. Berry Consultants’ mathematical demonstration reveals how proportional odds analysis embeds prevalence-based weights, underscoring the need for transparency and clinical input in trial design.

In this episode of "In the Interim…", Dr. Scott Berry and Dr. Lindsay Berry investigate the statistical foundations and clinical implications of analyzing ordinal endpoints, drawing on experience from major stroke and COVID-19 trials. Discussion centers on the Modified Rankin Scale, DAWN, MR CLEAN, and REMAP-CAP.

In this episode of "In the Interim…", Dr. Scott Berry marks the podcast’s one-year anniversary, sharing listener metrics, watch data, and regional engagement. He then delivers a step-by-step analysis of the FDA meeting process, detailing the progression from initial sponsor meeting requests and question submission to briefing book preparation, feedback cycles, and in-person logistics.