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| 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. | ||||
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Page views:: 3736. Submitted: 2015-02-06. Published: 2017-02-27. |
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| Paper: |
medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models
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| DOI: |
10.18637/jss.v076.i11
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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. |