A Bayesian seamless phase I-II trial design with two stages for cancer clinical trials with drug combinations.

ABSTRACT: The use of drug combinations in clinical trials is increasingly common during the last years since a more favorable therapeutic response may be obtained by combining drugs. In phase I clinical trials, most of the existing methodology recommends a one unique dose combination as "optimal," which may result in a subsequent failed phase II clinical trial since other dose combinations may present higher treatment efficacy for the same level of toxicity. We are particularly interested in the setting where it is necessary to wait a few cycles of therapy to observe an efficacy outcome and the phase I and II population of patients are different with respect to treatment efficacy. Under these circumstances, it is common practice to implement two-stage designs where a set of maximum tolerated dose co

SUBMITTER: Jimenez JL 

PROVIDER: S-EPMC7483235 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature