METAPREG: Stata module to compute fixed and random effects meta-analysis and meta-regression of proportions

Victoria Nyawira Nyaga

5 citations0/0 files storedRePEc: Research Papers in Economics

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Meta-analysis and systematic reviews Statistical Methods and Bayesian Inference Statistical Methods in Epidemiology

Abstract

This routine provides procedures for pooling proportions in a meta-analysis of multiple studies study and/or displays the results in a forest plot. The pooled estimates are a weighted averages or obtained parameter estimates after logistic regression or after fitting the logistic-normal random model. Metapreg extends the functionality of metaprop by allowing one or more covariates into the model to explain heterogeneity in the proportions. With paired data, a model with two additive components of variance can be fitted. One component represents variance within the units, the other variance between units. Furthermore, a forest plot of relative ratios can also be presented.

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