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.

Standardized mean differences (SMD) are effective effect measures in meta-analyses, and this tutorial explains their use, when to use them, and common errors in evidence synthesis.

Paper

Standardized mean differences in meta‐analysis: A tutorial

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