{"title":"Aligning sample size calculations with estimands in clinical trials with time-to-event outcomes","authors":"Yixin Fang, Man Jin, Chengqing Wu","doi":"10.4310/23-sii804","DOIUrl":null,"url":null,"abstract":"The ICH E9(R1) guidance recommended a framework to align planning, design, conduct, analysis, and interpretation of any clincial trial with its objective and estimand. How to handle intercurrent events (ICEs) is one of the five attributes of an estimand and sample size calculation is a key step in the trial planning and design. Therefore, sample size calculation should be aligned with the estimand and, in particular, with how the ICEs are handled. ICH E9(R1) summarized five strategies for handling ICEs, and five approaches have been proposed in the literature for sample size calculation when planning trials with quantitative and binary outcomes. In this paper, we discuss how to apply the five strategies to deal with ICEs in clinical trials with time-to-event outcomes and propose five approaches for sample size calculation that are aligned with the five strategies, respectively.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.4310/23-sii804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The ICH E9(R1) guidance recommended a framework to align planning, design, conduct, analysis, and interpretation of any clincial trial with its objective and estimand. How to handle intercurrent events (ICEs) is one of the five attributes of an estimand and sample size calculation is a key step in the trial planning and design. Therefore, sample size calculation should be aligned with the estimand and, in particular, with how the ICEs are handled. ICH E9(R1) summarized five strategies for handling ICEs, and five approaches have been proposed in the literature for sample size calculation when planning trials with quantitative and binary outcomes. In this paper, we discuss how to apply the five strategies to deal with ICEs in clinical trials with time-to-event outcomes and propose five approaches for sample size calculation that are aligned with the five strategies, respectively.
ICH E9(R1)指南建议建立一个框架,使任何临床试验的计划、设计、实施、分析和解释与其目标和评价保持一致。如何处理并发事件(ICEs)是估计的五大属性之一,而样本容量的计算是试验计划和设计的关键步骤。因此,样本量的计算应该与估计保持一致,特别是与如何处理ICEs保持一致。ICH E9(R1)总结了处理ICEs的五种策略,并在计划具有定量和二元结果的试验时提出了五种计算样本量的方法。在本文中,我们讨论了如何应用这五种策略来处理具有事件时间结局的临床试验中的ICEs,并分别提出了与这五种策略相一致的五种样本量计算方法。