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mmeta: An R Package for Multivariate Meta-Analysis

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  • Luo, Sheng
  • Chen, Yong
  • Su, Xiao
  • Chu, Haitao

Abstract

This paper describes the core features of the R package mmeta, which implements the exact posterior inference of odds ratio, relative risk, and risk difference given either a single 2 × 2 table or multiple 2 × 2 tables when the risks within the same study are independent or correlated.

Suggested Citation

  • Luo, Sheng & Chen, Yong & Su, Xiao & Chu, Haitao, 2014. "mmeta: An R Package for Multivariate Meta-Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i11).
    • Handle: RePEc:jss:jstsof:v:056:i11
    DOI: http://hdl.handle.net/10.18637/jss.v056.i11
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    References listed on IDEAS

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    1. W. R. Gilks & N. G. Best & K. K. C. Tan, 1995. "Adaptive Rejection Metropolis Sampling Within Gibbs Sampling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 44(4), pages 455-472, December.
    2. Danaher, Peter J. & Hardie, Bruce G.S., 2005. "Bacon With Your Eggs? Applications of a New Bivariate Beta-Binomial Distribution," The American Statistician, American Statistical Association, vol. 59, pages 282-286, November.
    3. Taye H. Hamza & Johannes B. Reitsma & Theo Stijnen, 2008. "Meta-Analysis of Diagnostic Studies: A Comparison of Random Intercept, Normal-Normal, and Binomial-Normal Bivariate Summary ROC Approaches," Medical Decision Making, , vol. 28(5), pages 639-649, September.
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