winratiotest: A command for implementing the win ratio and stratified win ratio in Stata

IF 3.2 2区 数学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS
John Gregson, João Pedro Ferreira, Tim Collier
{"title":"winratiotest: A command for implementing the win ratio and stratified win ratio in Stata","authors":"John Gregson, João Pedro Ferreira, Tim Collier","doi":"10.1177/1536867x231196480","DOIUrl":null,"url":null,"abstract":"The win ratio is a statistical method most commonly used for analyzing composite outcomes in clinical trials. Composite outcomes comprise two or more distinct “component” events (for example, myocardial infarction or death) and are typically analyzed using time-to-first-event methods ignoring the relative importance of the component events. When using the win ratio, component events are instead placed into a hierarchy from most to least important; more important components can then be prioritized over less important outcomes (for example, death can be prioritized over myocardial infarction). Furthermore, the win ratio enables outcomes of different types (for example, time-to-event, continuous, binary, ordinal, and repeat events) to be combined. We present winratiotest, a command to implement the win-ratio approach for hierarchical outcomes in a flexible and user-friendly way.","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stata Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1536867x231196480","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

The win ratio is a statistical method most commonly used for analyzing composite outcomes in clinical trials. Composite outcomes comprise two or more distinct “component” events (for example, myocardial infarction or death) and are typically analyzed using time-to-first-event methods ignoring the relative importance of the component events. When using the win ratio, component events are instead placed into a hierarchy from most to least important; more important components can then be prioritized over less important outcomes (for example, death can be prioritized over myocardial infarction). Furthermore, the win ratio enables outcomes of different types (for example, time-to-event, continuous, binary, ordinal, and repeat events) to be combined. We present winratiotest, a command to implement the win-ratio approach for hierarchical outcomes in a flexible and user-friendly way.
winratiotest:在Stata中实现胜率和分层胜率的命令
胜率是一种统计方法,最常用于分析临床试验中的综合结果。复合结果包括两个或多个不同的“组成”事件(例如,心肌梗死或死亡),通常使用“到首次事件的时间”方法进行分析,忽略了组成事件的相对重要性。当使用胜率时,组件事件会按照从最重要到最不重要的顺序排列;更重要的组成部分可以优先于不太重要的结果(例如,死亡可以优先于心肌梗死)。此外,胜率允许组合不同类型的结果(例如,时间到事件、连续事件、二进制事件、顺序事件和重复事件)。我们提出了winratiotest,这是一个以灵活和用户友好的方式实现分层结果胜比方法的命令。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Stata Journal
Stata Journal 数学-统计学与概率论
CiteScore
7.80
自引率
4.20%
发文量
44
审稿时长
>12 weeks
期刊介绍: The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata''s language. The Stata Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信