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Standardised mean differences: A tutorial
  • Daniel Gallardo Gómez,
  • Rachel Richardson,
  • Kerry Dwan
Daniel Gallardo Gómez
University of Seville Faculty of Education Sciences
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Rachel Richardson
Cochrane
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Kerry Dwan
Liverpool School of Tropical Medicine

Corresponding Author:kerry.dwan@lstmed.ac.uk

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Abstract

This tutorial focuses on standardised 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
23 Jan 2024Submitted to Cochrane Evidence Synthesis and Methods
24 Jan 2024Submission Checks Completed
24 Jan 2024Assigned to Editor
28 Jan 2024Reviewer(s) Assigned
11 Feb 2024Review(s) Completed, Editorial Evaluation Pending
11 Feb 2024Editorial Decision: Revise Minor
13 Feb 20241st Revision Received
15 Feb 2024Submission Checks Completed
15 Feb 2024Assigned to Editor
15 Feb 2024Review(s) Completed, Editorial Evaluation Pending
22 Feb 2024Editorial Decision: Accept
Mar 2024Published in Cochrane Evidence Synthesis and Methods volume 2 issue 3. https://doi.org/10.1002/cesm.12047