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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|
|Pages:||pp. 105 - 114|
|Keywords:||clinical trials,meta-analysis,random effects model,restricted maximum likelihood,variance components|
|Research Areas:||Math, Statistics|
|PDF version:||Click here to retrieve PDF version of paper (262KB)|