Gallardo-Gómez Daniel, Richardson Rachel, Dwan Kerry
Department of Physical Education and Sport, University of Seville, Seville Spain. Epidemiology of Physical Activity and Fitness Across Lifespan (EPAFit) Research Group Seville Spain.
Cochrane Methods Support Unit, Evidence Production and Methods Department Cochrane London UK.
Cochrane Evid Synth Methods. 2024 Mar 10;2(3):e12047. doi: 10.1002/cesm.12047. eCollection 2024 Mar.
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.
本教程重点介绍标准化均数差（SMD）作为荟萃分析中的效应量。我们将解释它们是什么、何时应使用它们、如何正确计算和解释它们，以及证据综合过程中最常见的一些错误。
