CohortPlat：研究联合治疗的队列平台试验模拟
CohortPlat: Simulation of cohort platform trials investigating combination therapies
摘要：
近年来，平台试验作为一种可能的补救措施，尤其是在早期药物开发中，已经引起了人们的广泛关注，因为经典的两组随机对照试验耗时很长。这篇简短的文章说明了如何使用CohortPlat R软件包来模拟队列平台试验，其中每个队列由联合治疗和相应的单药治疗和标准治疗组成。端点始终假定为二进制。该软件包在平台试验轨迹以及处理效应场景和决策规则方面提供了广泛的灵活性。作为一个特殊功能，该软件包提供了一个指定的功能，用于并行有效地运行多个此类模拟，并以简洁的方式保存结果。提供了许多代码使用说明。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
