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MultisiteMediation
View on CRAN: Click
here
Download and install MultisiteMediation package within the R console
Install from CRAN:
install.packages("MultisiteMediation")
Install from Github:
library("remotes")
install_github("cran/MultisiteMediation")
Install by package version:
library("remotes")
install_version("MultisiteMediation", "0.0.4")
Attach the package and use:
library("MultisiteMediation")
Maintained by
Xu Qin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.MultisiteMediation . https://github.com/Xu-Qin/MultisiteMediation/issues . https://github.com/Xu-Qin/MultisiteMediation . MultisiteMediation results . MultisiteMediation.pdf . MultisiteMediation_0.0.4.tar.gz . MultisiteMediation_0.0.4.zip . MultisiteMediation_0.0.4.zip . MultisiteMediation_0.0.4.zip . MultisiteMediation_0.0.4.tgz . MultisiteMediation_0.0.4.tgz . MultisiteMediation_0.0.4.tgz . MultisiteMediation_0.0.4.tgz . MultisiteMediation_0.0.4.tgz . MultisiteMediation_0.0.4.tgz . MultisiteMediation archive . https://CRAN.R-project.org/package=MultisiteMediation .
First Published: 2017-02-26
Latest Update: 2021-09-05
Description:
Multisite causal mediation analysis using the methods proposed by Qin and Hong (2017) , Qin, Hong, Deutsch, and Bein (2019) , and Qin, Deutsch, and Hong (2021) . It enables causal mediation analysis in multisite trials, in which individuals are assigned to a treatment or a control group at each site. It allows for estimation and hypothesis testing for not only the population average but also the between-site variance of direct and indirect effects transmitted through one single mediator or two concurrent (conditionally independent) mediators. This strategy conveniently relaxes the assumption of no treatment-by-mediator interaction while greatly simplifying the outcome model specification without invoking strong distributional assumptions. This package also provides a function that can further incorporate a sample weight and a nonresponse weight for multisite causal mediation analysis in the presence of complex sample and survey designs and non-random nonresponse, to enhance both the internal validity and external validity. The package also provides a weighting-based balance checking function for assessing the remaining overt bias.
How to cite:
Xu Qin (2017). MultisiteMediation: Causal Mediation Analysis in Multisite Trials. R package version 0.0.4, https://cran.r-project.org/web/packages/MultisiteMediation. Accessed 31 Mar. 2025.
Previous versions and publish date:
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Complete documentation for MultisiteMediation
Functions, R codes and Examples using
the MultisiteMediation R package
Some associated functions: balance . msmediate.concurrent . msmediate . msmediate.weights . sim . sim.weights . vartest.msmediate.concurrent . vartest.msmediate . vartest.msmediate.weights .
Some associated R codes: msmediate.R . Full MultisiteMediation package functions and examples
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