Bayesian adaptive designs for multi-arm trials: an orthopaedic case study.

ABSTRACT:

Background

Bayesian adaptive designs can be more efficient than traditional methods for multi-arm randomised controlled trials. The aim of this work was to demonstrate how Bayesian adaptive designs can be constructed for multi-arm phase III clinical trials and assess potential benefits that these designs offer.

Methods

We constructed several alternative Bayesian adaptive designs for the Collaborative Ankle Support Trial (CAST), which was a randomised controlled trial that compared four treatments for severe ankle sprain. These designs incorporated response adaptive randomisation (RAR), arm dropping, and early stopping for efficacy or futility. We studied the operating characteristics of the Bayesian designs via simulation. We then virtually re-executed the trial by implement

SUBMITTER: Ryan EG 

PROVIDER: S-EPMC6961269 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature