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Title: Conducting a meta-analysis: Basics and good practices
Authors: Cheung, M.W.-L. 
Ho, R.C.M. 
Lim, Y. 
Mak, A. 
Keywords: Effect sizes
Fixed-effects model
Mixed-effects model
Random-effects model
Issue Date: Apr-2012
Citation: Cheung, M.W.-L., Ho, R.C.M., Lim, Y., Mak, A. (2012-04). Conducting a meta-analysis: Basics and good practices. International Journal of Rheumatic Diseases 15 (2) : 129-135. ScholarBank@NUS Repository.
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. © 2012 The Authors. International Journal of Rheumatic Diseases © 2012 Asia Pacific League of Associations for Rheumatology and Blackwell Publishing Asia Pty Ltd.
Source Title: International Journal of Rheumatic Diseases
ISSN: 17561841
DOI: 10.1111/j.1756-185X.2012.01712.x
Appears in Collections:Staff Publications

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