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R package regmedint: extension of regression-based causal mediation analysis with effect measure modification by covariates

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  • Li, Yi
  • Mathur, Maya B
  • Yoshida, Kazuki

Abstract

This is the supplementary document of R package regmedint that implements the extension of the regression-based causal mediation analysis first proposed by Valeri and VanderWeele (2013, 2015). It supports including effect measure modification by covariates (treatment-covariate and mediator-covariate product terms in mediator and outcome regression models), and also accommodates the original SAS macro and PROC CAUSALMED procedure in SAS when there is no effect measure modification.

Suggested Citation

  • Li, Yi & Mathur, Maya B & Yoshida, Kazuki, 2022. "R package regmedint: extension of regression-based causal mediation analysis with effect measure modification by covariates," OSF Preprints d4brv, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:d4brv
    DOI: 10.31219/osf.io/d4brv
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    1. Jay M. Ver Hoef, 2012. "Who Invented the Delta Method?," The American Statistician, Taylor & Francis Journals, vol. 66(2), pages 124-127, May.
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    Cited by:

    1. Li, Yi & Mathur, Maya B & Solomon, Daniel & Glynn, Robert J. & Yoshida, Kazuki, 2022. "Effect Measure Modification by Covariates in Mediation: Extending Regression-Based Causal Mediation Analysis," OSF Preprints 3gf64, Center for Open Science.

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