Controlled multi-arm platform design using predictive probability.

ABSTRACT: The process of screening agents one-at-a-time under the current clinical trials system suffers from several deficiencies that could be addressed in order to extend financial and patient resources. In this article, we introduce a statistical framework for designing and conducting randomized multi-arm screening platforms with binary endpoints using Bayesian modeling. In essence, the proposed platform design consolidates inter-study control arms, enables investigators to assign more new patients to novel therapies, and accommodates mid-trial modifications to the study arms that allow both dropping poorly performing agents as well as incorporating new candidate agents. When compared to sequentially conducted randomized two-arm trials, screening platform designs have the potential to yield cons

SUBMITTER: Hobbs BP 

PROVIDER: S-EPMC5039108 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature