Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
[test by reto]
Authors: Johan Steen, Tom Loeys, Beatrijs Moerkerke, Stijn Vansteelandt
Title: medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models
Abstract: Mediation analysis is routinely adopted by researchers from a wide range of applied disciplines as a statistical tool to disentangle the causal pathways by which an exposure or treatment affects an outcome. The counterfactual framework provides a language for clearly defining path-specific effects of interest and has fostered a principled extension of mediation analysis beyond the context of linear models. This paper describes medflex, an R package that implements some recent developments in mediation analysis embedded within the counterfactual framework. The medflex package offers a set of ready-made functions for fitting natural effect models, a novel class of causal models which directly parameterize the path-specific effects of interest, thereby adding flexibility to existing software packages for mediation analysis, in particular with respect to hypothesis testing and parsimony. In this paper, we give a comprehensive overview of the functionalities of the medflex package.

Page views:: 4780. Submitted: 2015-02-06. Published: 2017-02-27.
Paper: medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models     Download PDF (Downloads: 6210)
medflex_0.6-1.tar.gz: R source package Download (Downloads: 218; 651KB)
v76i11.R: R replication code Download (Downloads: 260; 6KB)

DOI: 10.18637/jss.v076.i11

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.