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Topics in Bayesian Statistical Methods
From early-phase trials to late-phase development, utilizing Bayesian tools can expedite and/or de-risk trials, even when used to augment a Frequentist framework
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Bayesian approaches provide a variety of new opportunities for efficient and flexible clinical trials. The Bayesian approach allows every new piece of data to serve as evidence to update a hypothesis. Bayes’ rule consists of a “prior” either based on evidence already collected, or scientific findings in the case of early-phase trials. A rule then explains how to update these priors in order to make sense of newly collected evidence. A “posterior” is then the result of the prior being updated in light of this new evidence. As the trials evolve with new in-trial insights, these Bayesian methods enable statisticians and sponsors to create flexible trial designs and accelerate learning.