Simulation study for evaluating the performance of response-adaptive randomization.

ABSTRACT: A response-adaptive randomization (RAR) design refers to the method in which the probability of treatment assignment changes according to how well the treatments are performing in the trial. Holding the promise of treating more patients with the better treatments, RARs have been successfully implemented in clinical trials. We compared equal randomization (ER) with three RARs: Bayesian adaptive randomization, sequential maximum likelihood, and sequential posterior mean. We fixed the total number of patients, considered as patient horizon, but varied the number of patients in the trial. Among the designs, we compared the proportion of patients assigned to the superior arm, overall response rate, statistical power, and total patients enrolled in the trial with and without adding an efficacy e

SUBMITTER: Du Y 

PROVIDER: S-EPMC4314433 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature