{"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.
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.