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medflex : an R package for flexible mediation analysis using natural effect models

Johan Steen UGent, Tom Loeys UGent, Beatrijs Moerkerke UGent and Stijn Vansteelandt UGent (2017) JOURNAL OF STATISTICAL SOFTWARE. 76(11).
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
mediation analysis, R, causal inference, direct effect, indirect effect, medflex, natural effect models
journal title
JOURNAL OF STATISTICAL SOFTWARE
volume
76
issue
11
publisher
Foundation for Open Access Statistics
ISSN
1548-7660
DOI
10.18637/jss.v076.i11
project
G.0111.12
language
English
UGent publication?
yes
classification
A1
additional info
R package can be downloaded from https://cran.r-project.org/web/packages/medflex/index.html
copyright statement
I have retained and own the full copyright for this publication
id
7088198
handle
http://hdl.handle.net/1854/LU-7088198
alternative location
https://www.jstatsoft.org/article/view/v076i11
date created
2016-02-17 10:51:19
date last changed
2017-03-27 07:13:16
@article{7088198,
  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.},
  author       = {Steen, Johan and Loeys, Tom and Moerkerke, Beatrijs and Vansteelandt, Stijn},
  issn         = {1548-7660},
  journal      = {JOURNAL OF STATISTICAL SOFTWARE},
  keyword      = {mediation analysis,R,causal inference,direct effect,indirect effect,medflex,natural effect models},
  language     = {eng},
  number       = {11},
  publisher    = {Foundation for Open Access Statistics},
  title        = {medflex : an R package for flexible mediation analysis using natural effect models},
  url          = {http://dx.doi.org/10.18637/jss.v076.i11},
  volume       = {76},
  year         = {2017},
}

Chicago
Steen, Johan, Tom Loeys, Beatrijs Moerkerke, and Stijn Vansteelandt. 2017. “Medflex : an R Package for Flexible Mediation Analysis Using Natural Effect Models.” Journal of Statistical Software 76 (11).
APA
Steen, Johan, Loeys, T., Moerkerke, B., & Vansteelandt, S. (2017). medflex : an R package for flexible mediation analysis using natural effect models. JOURNAL OF STATISTICAL SOFTWARE, 76(11).
Vancouver
1.
Steen J, Loeys T, Moerkerke B, Vansteelandt S. medflex : an R package for flexible mediation analysis using natural effect models. JOURNAL OF STATISTICAL SOFTWARE. Foundation for Open Access Statistics; 2017;76(11).
MLA
Steen, Johan, Tom Loeys, Beatrijs Moerkerke, et al. “Medflex : an R Package for Flexible Mediation Analysis Using Natural Effect Models.” JOURNAL OF STATISTICAL SOFTWARE 76.11 (2017): n. pag. Print.