medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models

Johan Steen, Tom Loeys, Beatrijs Moerkerke and Stijn Vansteelandt

Journal of Statistical Software, 2017, vol. 076, issue i11

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.

Date: 2017-02-27
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:076:i11

DOI: 10.18637/jss.v076.i11

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