Conducting a meta‐analysis: basics and good practices
- 22 February 2012
- journal article
- research article
- Published by Wiley in International Journal of Rheumatic Diseases
- Vol. 15 (2), 129-135
- https://doi.org/10.1111/j.1756-185x.2012.01712.x
Abstract
Meta-analysis is a statistical method to compare and combine effect sizes from a pool of relevant empirical studies. It is now a standard approach to synthesize research findings in many disciplines, including medical and healthcare research. This paper is the third paper of a mini-series introducing systematic review and meta-analysis. First, common effect sizes used in meta-analysis are presented. Fixed-, random- and mixed-effects models are then introduced. Next, a real data set from a published meta-analysis will be used to illustrate the procedures and interpretations. Last, software packages that may be used to conduct meta-analyses will be highlighted.Keywords
This publication has 25 references indexed in Scilit:
- How to critically appraise and apply meta‐analyses in clinical practiceInternational Journal of Rheumatic Diseases, 2010
- Meta‐analysis in medicine: an introductionInternational Journal of Rheumatic Diseases, 2010
- Bisphosphonates and atrial fibrillation: Bayesian meta-analyses of randomized controlled trials and observational studiesBMC Musculoskeletal Disorders, 2009
- CONSORT for Reporting Randomized Controlled Trials in Journal and Conference Abstracts: Explanation and ElaborationPLoS Medicine, 2008
- Measuring inconsistency in meta-analysesBMJ, 2003
- Quantifying heterogeneity in a meta-analysisStatistics in Medicine, 2002
- How should meta‐regression analyses be undertaken and interpreted?Statistics in Medicine, 2002
- Meta-analysis in clinical trialsControlled Clinical Trials, 1986
- Ecological Correlations and the Behavior of IndividualsAmerican Sociological Review, 1950