Unknown

Dataset Information

A Bayesian pick-the-winner design in a randomized phase II clinical trial.


ABSTRACT:

Purpose

Many phase II clinical trials evaluate unique experimental drugs/combinations through multi-arm design to expedite the screening process (early termination of ineffective drugs) and to identify the most effective drug (pick the winner) to warrant a phase III trial. Various statistical approaches have been developed for the pick-the-winner design but have been criticized for lack of objective comparison among the drug agents.

Methods

We developed a Bayesian pick-the-winner design by integrating a Bayesian posterior probability with Simon two-stage design in a randomized two-arm clinical trial. The Bayesian posterior probability, as the rule to pick the winner, is defined as probability of the response rate in one arm higher than in the other arm. The posterior probabi

SUBMITTER: Chen DT 

PROVIDER: S-EPMC5687612 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature