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改良的 Hochberg 截断程序用于多个终点:在儿童功能性便秘确证性试验中的应用。

Modified truncated Hochberg procedure for multiple endpoints: An application in a confirmatory trial for pediatric functional constipation.

机构信息

Takeda Development Center Americas, Inc., Cambridge, MA, USA.

Takeda Development Center Americas, Inc., Lexington, MA, USA.

出版信息

Contemp Clin Trials. 2023 Jun;129:107185. doi: 10.1016/j.cct.2023.107185. Epub 2023 Apr 12.

Abstract

BACKGROUND

In confirmatory clinical trials, it is critical to have appropriate control of multiplicity for multiple comparisons or endpoints. When multiplicity-related issues arise from different sources (e.g., multiple endpoints, multiple treatment arms, multiple interim data-cuts and other factors), it can become complicated to control the family-wise type I error rate (FWER). Therefore, it is crucial for statisticians to fully understand the multiplicity adjustment methods and the objectives of the analysis regarding study power, sample size and feasibility in order to identify the proper multiplicity adjustment strategy.

METHODS

In the context of multiplicity adjustment of multiple dose levels and multiple endpoints in a confirmatory trial, we proposed a modified truncated Hochberg procedure in combination with a fixed-sequence hierarchical testing procedure to strongly control the FWER. In this paper, we provided a brief review of the mathematical framework of the regular Hochberg procedure, the truncated Hochberg procedure and the proposed modified truncated Hochberg procedure. An ongoing phase 3 confirmatory trial for pediatric functional constipation was used as a real case application to illustrate how the proposed modified truncated Hochberg procedure will be implemented. A simulation study was conducted to demonstrate that the study was adequately powered and the FWER was strongly controlled.

CONCLUSION

This work is expected to facilitate the understanding and selection of adjustment methods for statisticians.

摘要

背景

在确证性临床试验中,对多个比较或终点进行适当的多重性控制至关重要。当多重性问题源于多个来源(例如多个终点、多个治疗组、多个中期数据截止和其他因素)时,控制总体Ⅰ型错误率(FWER)可能会变得复杂。因此,统计人员必须充分了解多重性调整方法以及分析的目标,包括研究效能、样本量和可行性,以确定适当的多重性调整策略。

方法

在确证性试验中,我们针对多个剂量水平和多个终点的多重性调整问题,提出了一种改良的截断 Hochberg 程序,结合固定序列分层检验程序,以强有力地控制 FWER。本文简要回顾了常规 Hochberg 程序、截断 Hochberg 程序和所提出的改良截断 Hochberg 程序的数学框架。我们以正在进行的儿科功能性便秘的 3 期确证性试验为例,说明了如何实施所提出的改良截断 Hochberg 程序。进行了一项模拟研究,以证明该研究具有足够的效能,并且强有力地控制了 FWER。

结论

预计这项工作将有助于统计人员理解和选择调整方法。

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