Ensuring exchangeability in data‐based priors for a Bayesian analysis of clinical trials

• Published in: Pharmaceutical statistics : the journal of the pharmaceutical industry Vol. 21; no. 2; pp. 327 - 344
• Main Authors: Lin, Junjing, Gamalo‐Siebers, Margaret, Tiwari, Ram
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Inc 01.03.2022; Wiley Subscription Services, Inc
• Subjects: Bayes Theorem; Bayesian analysis; Bayesian augmented control; Child; Clinical trials; Computer Simulation; Disease; exchangeability; Hellinger distance; historical control; Humans; propensity score; real‐world data; Research Design; Sample Size; Selection Bias; Hellinger distance; exchangeability; real-world data; historical control; Bayesian augmented control; propensity score

In many orphan diseases and pediatric indications, the randomized controlled trials may be infeasible because of their size, duration, and cost. Leveraging information on the control through a prior can potentially reduce sample size. However, unless an objective prior is used to impose complete ign...