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允许在试验中期增加一个治疗组的 3 期伞式试验的统计学考虑因素。

Statistical considerations of phase 3 umbrella trials allowing adding one treatment arm mid-trial.

机构信息

Biostatistics and Research Decision Sciences, Merck & Co., Inc., Kenilworth, NJ 07033, USA.

Biostatistics and Research Decision Sciences, Merck & Co., Inc., Kenilworth, NJ 07033, USA.

出版信息

Contemp Clin Trials. 2021 Oct;109:106538. doi: 10.1016/j.cct.2021.106538. Epub 2021 Aug 9.

Abstract

Master protocols, in particular umbrella trials and platform trials, when evaluating multiple experimental treatments with a common control, could save patient resource, increase trial efficiency, and reduce drug development cost. Compared to the phase 3 platform trials that allow unlimited number of experimental arms to be added, it is more practical for individual companies to evaluate two experimental arms with a common control in an umbrella trial and allow the second experimental arm to be added at a later time. There have been limited research done in this type of trials in terms of statistical properties and guidance. In this article, we present statistical considerations of a phase 3 three-arm umbrella design including Type I error control and power, as well as the optimal allocation ratio. We intend to not only complement the existing literature, but more importantly to provide practical guidance to pave the way for its implementation by individual companies.

摘要

主方案,特别是伞式试验和平台试验,在评估具有共同对照的多种实验治疗方法时,可以节省患者资源,提高试验效率,并降低药物开发成本。与允许添加无限数量的实验臂的 3 期平台试验相比,对于单个公司而言,在伞式试验中评估具有共同对照的两种实验臂并允许以后添加第二个实验臂更为实际。在这一类型的试验中,关于统计特性和指导,已经进行了有限的研究。本文提出了包括 I 类错误控制和功效以及最佳分配比在内的 3 期三臂伞式设计的统计考虑因素。我们不仅旨在补充现有文献,更重要的是为其实施提供实用指导,为单个公司铺平道路。

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