荟萃分析中的标准化平均差:教程

Daniel Gallardo-Gómez, Rachel Richardson, Kerry Dwan
{"title":"荟萃分析中的标准化平均差:教程","authors":"Daniel Gallardo-Gómez,&nbsp;Rachel Richardson,&nbsp;Kerry Dwan","doi":"10.1002/cesm.12047","DOIUrl":null,"url":null,"abstract":"<p>This tutorial focuses on standardized mean differences (SMD) as effect measures in meta-analyses. We will explain what they are, when they should be used, how to correctly compute and interpret them, and some of the most common error made within evidence synthesis.</p>","PeriodicalId":100286,"journal":{"name":"Cochrane Evidence Synthesis and Methods","volume":"2 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cesm.12047","citationCount":"0","resultStr":"{\"title\":\"Standardized mean differences in meta-analysis: A tutorial\",\"authors\":\"Daniel Gallardo-Gómez,&nbsp;Rachel Richardson,&nbsp;Kerry Dwan\",\"doi\":\"10.1002/cesm.12047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This tutorial focuses on standardized mean differences (SMD) as effect measures in meta-analyses. We will explain what they are, when they should be used, how to correctly compute and interpret them, and some of the most common error made within evidence synthesis.</p>\",\"PeriodicalId\":100286,\"journal\":{\"name\":\"Cochrane Evidence Synthesis and Methods\",\"volume\":\"2 3\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cesm.12047\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cochrane Evidence Synthesis and Methods\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cesm.12047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cochrane Evidence Synthesis and Methods","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cesm.12047","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

本教程重点介绍荟萃分析中作为效应测量指标的标准化均值差异(SMD)。我们将解释它们是什么、何时应该使用、如何正确计算和解释它们,以及在证据综述中最常见的一些错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Standardized mean differences in meta-analysis: A tutorial

This tutorial focuses on standardized mean differences (SMD) as effect measures in meta-analyses. We will explain what they are, when they should be used, how to correctly compute and interpret them, and some of the most common error made within evidence synthesis.

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
自引率
0.00%
发文量
0
期刊最新文献
Methodological and reporting quality of systematic and rapid reviews on human mpox and their utility during a public health emergency Issue Information “Interest-holders”: A new term to replace “stakeholders” in the context of health research and policy Empowering the future of evidence-based healthcare: The Cochrane Early Career Professionals Network Issue Information
×
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