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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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.
|Themes:||Health and Wellbeing|
|Schools:||Schools > Salford Business School
Schools > Salford Business School > Business and Management Research Centre
|Journal or Publication Title:||Research Synthesis Methods|
|Funders:||Non funded research|
|Depositing User:||Prof Rose Dawn Baker|
|Date Deposited:||01 Sep 2015 17:19|
|Last Modified:||15 Feb 2016 13:17|
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