Practical approaches to Bayesian sample size determination in non-inferiority trials with binary outcomes.

ABSTRACT: Bayesian analysis of a non-inferiority trial is advantageous in allowing direct probability statements to be made about the relative treatment difference rather than relying on an arbitrary and often poorly justified non-inferiority margin. When the primary analysis will be Bayesian, a Bayesian approach to sample size determination will often be appropriate for consistency with the analysis. We demonstrate three Bayesian approaches to choosing sample size for non-inferiority trials with binary outcomes and review their advantages and disadvantages. First, we present a predictive power approach for determining sample size using the probability that the trial will produce a convincing result in the final analysis. Next, we determine sample size by considering the expected posterior probabili

SUBMITTER: Turner RM 

PROVIDER: S-EPMC7615731 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature