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Publication Citation: Random-Effects Model for Meta-analysis of Clinical Trials: An Update

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Author(s): Rebecca DerSimonian; Raghu N. Kacker;
Title: Random-Effects Model for Meta-analysis of Clinical Trials: An Update
Published: January 01, 2007
Abstract: The random-effects model is a useful approach for meta-analysis of clinical studies. It explicitly accounts for the heterogeneity of studies through a statistical parameter representing the inter-study variation. We discuss several iterative and non-iterative alternative methods for estimating the inter-study variance and hence the overall population treatment effect. We show that the leading methods for estimating the inter-study variance are special cases of a general method-of-moments estimate of the inter-study variance. The general method suggests two new two-step methods. The iterative estimate is statistically optimal and it can be easily calculated on a spreadsheet program, such as Microsoft Excel, available on the desktop of most researchers. The two-step methods are useful when a non-iterative estimate is desired.
Citation: Controlled Clinical Trials
Volume: 28
Pages: pp. 105 - 114
Keywords: clinical trials;meta-analysis;random effects model;restricted maximum likelihood;variance components
Research Areas: Math, Statistics
PDF version: PDF Document Click here to retrieve PDF version of paper (262KB)