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mmeta: An R Package for Multivariate Meta-Analysis.

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  • 1Division of Biostatistics, The University of Texas Health Science Center at Houston, 1200 Pressler St, Houston, TX 77030, USA, sheng.t.luo@uth.tmc.edu , URL: https://sph.uth.tmc.edu/cv/luo.pdf.

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Summary
This summary is machine-generated.

The R package mmeta provides exact posterior inference for key measures like odds ratio and relative risk from 2x2 tables. It handles both single and multiple tables, accommodating independent or correlated risks within studies.

Keywords:
Appell functionBayesian inferenceSarmanov familybivariate beta-binomialexact distributionhypergeometric function

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Area of Science:

  • Biostatistics
  • Statistical Software
  • Epidemiology

Background:

  • Meta-analysis and risk estimation are crucial in medical research.
  • Accurate statistical inference for 2x2 contingency tables is essential.
  • Existing software may have limitations in handling correlated risks or exact inference.

Purpose of the Study:

  • To introduce the R package mmeta for statistical analysis.
  • To implement exact posterior inference for common measures of association.
  • To provide a flexible tool for analyzing single or multiple 2x2 tables.

Main Methods:

  • Utilizes exact posterior inference for statistical modeling.
  • Accommodates both independent and correlated risk scenarios.
  • Designed for use with single or multiple 2x2 contingency tables within the R environment.

Main Results:

  • The mmeta package offers robust implementation of exact posterior inference.
  • It enables the calculation of odds ratio, relative risk, and risk difference.
  • The package effectively handles complex scenarios involving correlated risks.

Conclusions:

  • The mmeta R package is a valuable tool for researchers.
  • It facilitates precise estimation of treatment effects from 2x2 tables.
  • The package supports advanced meta-analytic techniques for correlated data.