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Approximate confidence intervals for moment-based estimators of the between-study variance in random effects meta-analysis

Jackson, D, Bowden, J and Baker, RD 2015, 'Approximate confidence intervals for moment-based estimators of the between-study variance in random effects meta-analysis' , Research Synthesis Methods, 6 (4) , pp. 372-382.

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Abstract

Moment-based estimators of the between-study variance are very popular when performing random effects meta-analyses. This type of estimation has many advantages including computational and conceptual simplicity. Furthermore, by using these estimators in large samples, valid meta-analyses can be performed without the assumption that the treatment effects follow a normal distribution. Recently proposed moment-based confidence intervals for the between-study variance are exact under the randomeffectsmodel but are quite elaborate. Here, we present a much simpler method for calculating approximate confidence intervals of this type. This method uses variance-stabilising transformations as its basis and can be used for a very wide variety of moment-based estimators in both the random effects meta-analysis and metaregression models.

Item Type: Article
Themes: Health and Wellbeing
Schools: Schools > Salford Business School
Schools
Schools > Salford Business School > Business and Management Research Centre
Journal or Publication Title: Research Synthesis Methods
Publisher: Wiley
Refereed: Yes
ISSN: 1759-2879
Related URLs:
Funders: Non funded research
Depositing User: Prof Rose Dawn Baker
Date Deposited: 01 Sep 2015 17:19
Last Modified: 15 Feb 2016 13:17
URI: http://usir.salford.ac.uk/id/eprint/36145

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