| Literature DB >> 34159859 |
Wei Wei1, Denise Esserman1, Michael Kane1, Daniel Zelterman1.
Abstract
Adaptive designs are gaining popularity in early phase clinical trials because they enable investigators to change the course of a study in response to accumulating data. We propose a novel design to simultaneously monitor several endpoints. These include efficacy, futility, toxicity and other outcomes in early phase, single-arm studies. We construct a recursive relationship to compute the exact probabilities of stopping for any combination of endpoints without the need for simulation, given pre-specified decision rules. The proposed design is flexible in the number and timing of interim analyses. A R Shiny app with user-friendly web interface has been created to facilitate the implementation of the proposed design.Entities:
Keywords: Go/no go decisions; biomarker endpoints; conditional power; early phase; multiple endpoints
Mesh:
Year: 2021 PMID: 34159859 PMCID: PMC8959087 DOI: 10.1177/09622802211013062
Source DB: PubMed Journal: Stat Methods Med Res ISSN: 0962-2802 Impact factor: 3.021