articleArchives of Public HealthNov 10, 2014GOLD OA

Metaprop: a Stata command to perform meta-analysis of binomial data

Institut Scientifique de Santé Publique · Hasselt University

PubMed
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Abstract

Background

Meta-analyses have become an essential tool in synthesizing evidence on clinical and epidemiological questions derived from a multitude of similar studies assessing the particular issue. Appropriate and accessible statistical software is needed to produce the summary statistic of interest.

Methods

Metaprop is a statistical program implemented to perform meta-analyses of proportions in Stata. It builds further on the existing Stata procedure metan which is typically used to pool effects (risk ratios, odds ratios, differences of risks or means) but which is also used to pool proportions. Metaprop implements procedures which are specific to binomial data and allows computation of exact binomial and score test-based confidence intervals. It provides appropriate methods for dealing with proportions close to or at the margins where the normal approximation procedures often break down, by use of the binomial distribution to model the within-study variability or by allowing Freeman-Tukey double arcsine transformation to stabilize the variances. Metaprop was applied on two published meta-analyses: 1) prevalence of HPV-infection in women with a Pap smear showing ASC-US; 2) cure rate after treatment for cervical precancer using cold coagulation.

Citation impact

2,165
total citations
FWCI
49.95
Percentile
100%
References
24
Citations per year

Authors

3

Topics & keywords

Keywords
  • Health informatics
  • Health services research
  • Biostatistics
  • Computer science
  • Binomial (polynomial)
  • Health administration
  • Negative binomial distribution
  • Statistics
UN Sustainable Development Goals
  • Good health and well-being
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Funding