将样本量计算与临床试验的估计与事件发生时间结果相一致

Pub Date : 2023-11-27 DOI:10.4310/23-sii804
Yixin Fang, Man Jin, Chengqing Wu
{"title":"将样本量计算与临床试验的估计与事件发生时间结果相一致","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":"{\"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}","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

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
Aligning sample size calculations with estimands in clinical trials with time-to-event outcomes
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1