CohortPlat: Simulation of cohort platform trials investigating combination therapies
Abstract
Platform trials have gained a lot of attention recently as a possible remedy for time-consuming classical two-arm randomized controlled trials, especially in early phase drug development. This short article illustrates how to use the CohortPlat R package to simulate a cohort platform trial, where each cohort consists of a combination treatment and the respective monotherapies and standard-of-care. The endpoint is always assumed to be binary. The package offers extensive flexibility with respect to both platform trial trajectories, as well as treatment effect scenarios and decision rules. As a special feature, the package provides a designated function for running multiple such simulations efficiently in parallel and saving the results in a concise manner. Many illustrations of code usage are provided.
Keywords
Cite
@article{arxiv.2202.02182,
title = {CohortPlat: Simulation of cohort platform trials investigating combination therapies},
author = {Elias Laurin Meyer and Peter Mesenbrink and Cornelia Dunger-Baldauf and Ekkehard Glimm and Franz König},
journal= {arXiv preprint arXiv:2202.02182},
year = {2022}
}