Multivariate Dose-Response Meta-Analysis.
Multivariate Dose-Response Meta-Analysis (dosresmeta)
The package dosresmeta consists of a collection of functions to estimate dose-response relations from summarized dose-response data for both continuous and binary outcomes, and to combine them according to principles of (multivariate) random-effects model. The methodology is illustrated in the referenced article.
Info on the dosresmeta package
The package is available on the Comprehensive R Archive Network (CRAN), with info at the related web page (https://CRAN.R-project.org/package=dosresmeta). A development website is available on GitHub (https://github.com/alecri/dosresmeta).
For a short summary of the package, refer to the main help page by typing:
help("dosresmeta-package")
in R after installation (see below).
Installation
The last version officially released on CRAN can be installed directly within R by typing:
install.packages("dosresmeta")
A version still under developement is avaiable on GitHub and can be installed by typing:
install.packages("devtools")
devtools::install_github("alecri/dosresmeta")
R code in published articles
Several peer-reviewed articles and documents provide R code illustrating methodological developments or replicating substantive results. An updated version of the code can be found at the GitHub (https://github.com/alecri) or personal web page (https://alecri.github.io/software/dosresmeta.html) of the package maintainer.
References:
Crippa A, Orsini N. Multivariate Dose-Response Meta-Analysis: the dosresmeta R Package. Journal of Statistical Software, Code Snippets,. 2016; 72(1), 1-15. doi:10.18637/jss.v072.c01. [freely available here]
Crippa A, Orsini N. Dose-response meta-analysis of differences in means. BMC Medical Research Methodology. 2016 Aug 2;16(1):91. [freely available here] [GitHub repository at this link]
Discacciati A, Crippa A, Orsini N. Goodness of fit tools for dose-response meta-analysis of binary outcomes. Research Synthesis Methods. 2015 Jan 1. doi: 10.1002/jrsm.1194. [freely available here] [GitHub repository at this link]