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

Victoria N Nyaga1, Marc Arbyn1, Marc Aerts2

  • 1Unit of Cancer Epidemiology, Scientific Institute of Public Health, Juliette Wytsmanstraat 14, 1050 Brussels, Belgium.

Archives of Public Health = Archives Belges De Sante Publique
|March 27, 2015
PubMed
Summary

Metaprop, a Stata program, enhances meta-analyses of proportions, especially for binomial data. It accurately calculates confidence intervals, avoiding exclusion of marginal proportion studies.

Keywords:
BinomialConfidence intervalsFreeman-Tukey double arcsine transformationLogistic-normalMeta-analysisStata

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Area of Science:

  • Biostatistics
  • Epidemiology
  • Medical Informatics

Background:

  • Meta-analyses are crucial for synthesizing evidence from multiple studies.
  • Accessible statistical software is essential for generating reliable summary statistics.
  • Existing Stata procedures like metan have limitations when analyzing proportions, particularly those near 0% or 100%.

Purpose of the Study:

  • To introduce Metaprop, a Stata program designed for meta-analyses of proportions.
  • To address limitations of existing Stata procedures in handling binomial data and marginal proportions.
  • To provide accurate confidence interval calculations for meta-analyses of proportions.

Main Methods:

  • Metaprop is implemented in Stata for meta-analyses of proportions.
  • It utilizes procedures specific to binomial data, including exact binomial and score test-based confidence intervals.
  • Methods to handle proportions near 0% or 100% include using the binomial distribution or Freeman-Tukey double arcsine transformation.

Main Results:

  • A meta-analysis of HPV prevalence in women with ASC-US Pap smears yielded a pooled prevalence of 43% (95% CI: 38%-48%).
  • A meta-analysis of cervical precancer cure rates after cold coagulation showed a pooled cure rate of 94% (95% CI: 86%-97%).

Conclusions:

  • Metaprop successfully included studies with 0% or 100% proportions, unlike metan.
  • Study-specific and pooled confidence intervals calculated by Metaprop were within admissible ranges.
  • Metaprop offers an improved approach for meta-analyses involving proportions, particularly for binomial data.