MV_META: A SAS® Macro for Multivariate Meta-Analysis
- Meta-analysis of multiple outcomes and multiple treatments from a single study require more sophisticated models than the typical meta-analytic models. Three different approaches have been suggested to accommodate dependent effect sizes: a multivariate multi-level approach (Kalaian & Raudenbush, 1996), a robust variance estimation strategy (Hedges, Tipton, & Johnson, 2010), and the traditional univariate random effects approach (Hedges & Olkin, 1985). This paper presents a SAS macro that calculates multivariate meta-analysis confidence intervals, mean effect sizes, and estimated effect size variances for each outcome variable given a sample of effect sizes and sample sizes. This paper includes a demonstration of the macro, sample inputs and output, and an examination of the accuracy and precision of the three approaches based on a simulation study.
|Start Date Time:||4/23/2012 14:00|
|End Date Time:||4/23/2012 15:30|
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