Extended two-stage adaptive designs with three target responses for phase II clinical trials.

ABSTRACT: We develop a nature-inspired stochastic population-based algorithm and call it discrete particle swarm optimization to find extended two-stage adaptive optimal designs that allow three target response rates for the drug in a phase II trial. Our proposed designs include the celebrated Simon's two-stage design and its extension that allows two target response rates to be specified for the drug. We show that discrete particle swarm optimization not only frequently outperforms greedy algorithms, which are currently used to find such designs when there are only a few parameters; it is also capable of solving design problems posed here with more parameters that greedy algorithms cannot solve. In stage 1 of our proposed designs, futility is quickly assessed and if there are sufficient responders

SUBMITTER: Kim S 

PROVIDER: S-EPMC5515697 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature