Standardized mean differences in meta-analysis: A tutorial

Daniel Gallardo-Gómez, Rachel Richardson, Kerry Dwan
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Abstract

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.

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荟萃分析中的标准化平均差:教程
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。
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