MethodsImportance of Homogeneous Effect Modification for Causal Interpretation of Meta-analysesSteele, Russell J.a; Schnitzer, Mireille E.b; Shrier, IancAuthor Information From the aDepartment of Mathematics and Statistics, McGill University, Montreal, QC, Canada bFaculté de pharmacie, Université de Montréal cCentre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital and Department of Family Medicine, McGill University, Montreal, QC, Canada. Editors’ Note: Related articles on this commentary appear on pages 334 and 345. R.J.S.’s work was supported by an Individual Discovery Grant from the Natural Sciences and Engineering Research Council of Canada. M.E.S.’s work was supported by a New Investigator grant from the Canadian Institute for Health Research. The authors report no conflicts of interest. Correspondence: Russell J. Steele, Department of Mathematics and Statistics, McGill University, 805 Rue Sherbrooke O., Montreal, QC H3A 0B9, Canada. E-mail: Russell.email@example.com. Epidemiology: May 2020 - Volume 31 - Issue 3 - p 353-355 doi: 10.1097/EDE.0000000000001181 Buy Metrics Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.