A decision-theoretic approach to Bayesian clinical trial design and evaluation of robustness to prior-data conflict.

ABSTRACT: Bayesian clinical trials allow taking advantage of relevant external information through the elicitation of prior distributions, which influence Bayesian posterior parameter estimates and test decisions. However, incorporation of historical information can have harmful consequences on the trial's frequentist (conditional) operating characteristics in case of inconsistency between prior information and the newly collected data. A compromise between meaningful incorporation of historical information and strict control of frequentist error rates is therefore often sought. Our aim is thus to review and investigate the rationale and consequences of different approaches to relaxing strict frequentist control of error rates from a Bayesian decision-theoretic viewpoint. In particular, we define an

SUBMITTER: Calderazzo S 

PROVIDER: S-EPMC9118338 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature