mmeta: Multivariate Meta-Analysis

Multiple 2 by 2 tables often arise in meta-analysis which combines statistical evidence from multiple studies. Two risks within the same study are possibly correlated because they share some common factors such as environment and population structure. This package implements a set of novel Bayesian approaches for multivariate meta analysis when the risks within the same study are independent or correlated. The exact posterior inference of odds ratio, relative risk, and risk difference given either a single 2 by 2 table or multiple 2 by 2 tables is provided. Luo, Chen, Su, Chu, (2014) <doi:10.18637/jss.v056.i11>, Chen, Luo, (2011) <doi:10.1002/sim.4248>, Chen, Chu, Luo, Nie, Chen, (2015) <doi:10.1177/0962280211430889>, Chen, Luo, Chu, Su, Nie, (2014) <doi:10.1080/03610926.2012.700379>, Chen, Luo, Chu, Wei, (2013) <doi:10.1080/19466315.2013.791483>.

Getting started

Package details

AuthorSheng Luo [aut], Yong Chen [aut], Xiao Su [aut], Haitao Chu [aut], Jiajie Chen [cre], Wally Gilks [ctb], Giovanni Petris [ctb], Luca Tardella [ctb]
MaintainerJiajie Chen <jiajie.chen@pennmedicine.upenn.edu>
LicenseGPL (>= 2)
Version3.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mmeta")

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mmeta documentation built on Feb. 16, 2023, 8:39 p.m.