METAPROP: Stata module to perform fixed and random effects meta-analysis of proportions

Victoria Nyawira Nyaga · Marc Arbyn · Marc Aerts

13 citations0/0 files storedRePEc: Research Papers in Economics

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Meta-analysis and systematic reviews Probability and Statistical Research 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 confidence intervals are based on score(Wilson) (Newcombe, R. G. 1998) or exact binomial(Clopper-Pearson) (Newcombe, R. G. 1998) procedures. A test of whether the summary effect measure is equal to the zero is given, as well as a test for heterogeneity, i.e., whether the true effect in all studies is the same. Heterogeneity is also quantified using the I-squared measure (Higgins et al. 2003). Financial support was received from: (1) The 7th Framework Programme of DG Research of the European Commission through the COHEAHR Network (grant No. 603019, coordinated by the Vrije Universiteit Amsterdam, the Netherlands), (2) The HPV-AHEAD project (FP7-HEALTH-2011-282562, coordinated by IARC), and (3) The Scientific Institute of Public Health (Brussels, through the OPSADAC project).

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