| Literature DB >> 30745708 |
Abstract
We present a two-stage phase I/II design of a combination of two drugs in cancer clinical trials. The goal is to estimate safe dose combination regions with a desired level of efficacy. In stage I, conditional escalation with overdose control is used to allocate dose combinations to successive cohorts of patients and the maximum tolerated dose curve is estimated as a function of Bayes estimates of the model parameters. In stage II, we propose a Bayesian adaptive design for conducting the phase II trial to determine dose combination regions along the MTD curve with a desired level of efficacy. The methodology is evaluated by extensive simulations and application to a real trial.Entities:
Keywords: Bayesian adaptive design; Cancer Phase I/II trials; Cubic Splines; Drug combination; Escalation with overdose control; Maximum tolerated dose
Year: 2018 PMID: 30745708 PMCID: PMC6368405 DOI: 10.1111/rssc.12294
Source DB: PubMed Journal: J R Stat Soc Ser C Appl Stat ISSN: 0035-9254 Impact factor: 1.680