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Statistical Considerations for Sequential Analysis of the Restricted Mean Survival Time for Randomized Clinical Trials
Statistics in Biopharmaceutical Research ( IF 1.5 ) Pub Date : 2020-10-09 , DOI: 10.1080/19466315.2020.1816491
Ying Lu 1 , Lu Tian 1
Affiliation  

Abstract

In this article, we illustrate the method of designing a group-sequential randomized clinical trial based on the difference in restricted mean survival time (RMST). The procedure is based on theoretical formulations of Murray and Tsiatis. We also present a numerical example in designing a cardiology surgical trial. Various practical considerations are discussed. R codes are provided in the supplementary materials. We conclude that the group-sequential design for RMST is a viable option in practice. A simulation study is performed to compare the proposed method to the Max-Combo and conventional log-rank tests. The simulation result shows that when there is a delayed treatment benefit and the proportional hazards assumption is untrue, the sequential design based on the RMST can be more efficient than that based on the log-rank test but less efficient than that based on the Max-Combo test. Compared with Max-Combo test, the RMST-based study design yield coherent estimand, statistical inference and result interpretation.



中文翻译:

随机临床试验受限平均生存时间顺序分析的统计考虑

摘要

在本文中,我们说明了基于受限平均生存时间 (RMST) 的差异设计组序贯随机临床试验的方法。该程序基于 Murray 和 Tsiatis 的理论公式。我们还提供了一个设计心脏病手术试验的数值示例。讨论了各种实际考虑。R 代码在补充材料中提供。我们得出结论,RMST 的群序设计在实践中是一个可行的选择。进行模拟研究以将所提出的方法与 Max-Combo 和传统的对数秩检验进行比较。模拟结果表明,当存在延迟治疗收益且比例风险假设不成立时,基于 RMST 的序列设计可以比基于对数秩检验的顺序设计更有效,但比基于 Max-Combo 检验的效率低。与 Max-Combo 检验相比,基于 RMST 的研究设计产生了一致的估计、统计推断和结果解释。

更新日期:2020-10-09
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