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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)
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G.0111.12
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.
Keywords
mediation analysis, R, causal inference, direct effect, indirect effect, medflex, natural effect models, SENSITIVITY-ANALYSIS, CAUSAL MECHANISMS, INFERENCE, IDENTIFICATION, EXPOSURE, DECOMPOSITION, CONFOUNDER, IMPUTATION, VARIABLES, FORMULA

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Citation

Please use this url to cite or link to this publication:

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. 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.
@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,SENSITIVITY-ANALYSIS,CAUSAL MECHANISMS,INFERENCE,IDENTIFICATION,EXPOSURE,DECOMPOSITION,CONFOUNDER,IMPUTATION,VARIABLES,FORMULA},
  language     = {eng},
  number       = {11},
  pages        = {46},
  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},
}

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