因果推理的可视化诊断工具

Observational studies Pub Date : 2023-01-23 DOI:10.1353/obs.2023.0008

Lucy D’Agostino McGowan, Ralph B. D’Agostino

{"title":"因果推理的可视化诊断工具","authors":"Lucy D’Agostino McGowan, Ralph B. D’Agostino","doi":"10.1353/obs.2023.0008","DOIUrl":null,"url":null,"abstract":"Abstract:Rosenbaum and Rubin (1983) suggested a visual representation, that can be used as a diagnostic tool, for examining whether the relationships between confounders and outcomes are sufficiently controlled, or whether there is a more complex relationship that requires further adjustment. This short commentary highlights this simple tool, providing an example of its utility along with relevant R code.","PeriodicalId":74335,"journal":{"name":"Observational studies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Visual Diagnostic Tool for Causal Inference\",\"authors\":\"Lucy D’Agostino McGowan, Ralph B. D’Agostino\",\"doi\":\"10.1353/obs.2023.0008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract:Rosenbaum and Rubin (1983) suggested a visual representation, that can be used as a diagnostic tool, for examining whether the relationships between confounders and outcomes are sufficiently controlled, or whether there is a more complex relationship that requires further adjustment. This short commentary highlights this simple tool, providing an example of its utility along with relevant R code.\",\"PeriodicalId\":74335,\"journal\":{\"name\":\"Observational studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Observational studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1353/obs.2023.0008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Observational studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1353/obs.2023.0008","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

摘要:Rosenbaum和Rubin(1983)提出了一种视觉表征，它可以作为一种诊断工具，用于检查混杂因素和结果之间的关系是否得到充分控制，或者是否存在更复杂的关系需要进一步调整。这篇简短的评论重点介绍了这个简单的工具，提供了它的实用程序示例以及相关的R代码。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Visual Diagnostic Tool for Causal Inference

Abstract:Rosenbaum and Rubin (1983) suggested a visual representation, that can be used as a diagnostic tool, for examining whether the relationships between confounders and outcomes are sufficiently controlled, or whether there is a more complex relationship that requires further adjustment. This short commentary highlights this simple tool, providing an example of its utility along with relevant R code.

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

来源期刊

Observational studies

CiteScore

0.80

自引率

0.00%

发文量