Introduction to meta-analysis 3: dealing with heterogeneity

Article type
Authors
Salanti G1, Veroniki AA2, Mavridis D1, Chaimani A3
1University of Ioannina, Greece
2Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
3Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Greece
Abstract
Objective:

The Cochrane Statistical Methods Group has developed a series of workshops addressing statistical guidelines as formulated in the Cochrane Handbook for Systematic Reviews of Interventions. This workshop will provide review authors with the knowledge to understand and investigate variability across studies in a meta-analysis, and to recognise the limitations of the methods available.

Description:

This training workshop will address approaches to dealing with between-study variability, or heterogeneity, in the results of a series of clinical trials. We first will discuss some potential sources of between-study variability, and overview some methods for identifying whether heterogeneity poses a problem in a particular set of studies. We then will focus on issues related to dealing with study variability once it has been identified. In particular, we will discuss the decision whether or not to combine results; the choice between fixed-effect and random-effects analyses; and the use of subgroup analyses (with a brief mention of meta-regression). Discussion will be supplemented with practical examples from the Cochrane Database of Systematic Reviews.