Bayesian adaptive randomized trial design for patients with recurrent glioblastoma.

ABSTRACT:

Purpose

To evaluate whether the use of Bayesian adaptive randomized (AR) designs in clinical trials for glioblastoma is feasible and would allow for more efficient trials.

Patients and methods

We generated an adaptive randomization procedure that was retrospectively applied to primary patient data from four separate phase II clinical trials in patients with recurrent glioblastoma. We then compared AR designs with more conventional trial designs by using realistic hypothetical scenarios consistent with survival data reported in the literature. Our primary end point was the number of patients needed to achieve a desired statistical power.

Results

If our phase II trials had been a single, multiarm trial using AR design, 30 fewer patients would have been needed compared w

SUBMITTER: Trippa L 

PROVIDER: S-EPMC3434985 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature