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mediation: R Package for Causal Mediation Analysis [PDF]
Journal of Statistical Software, 2014 In this paper, we describe the R package mediation for conducting causal mediation analysis in applied empirical research. In many scientific disciplines, the goal of researchers is not only estimating causal effects of a treatment but also understanding
Dustin Tingley +4 more
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The COVID-19 Response as a Mediation Blueprint for the Future? Mediators’ Perspectives on the shift to Remote Mediation in Civil Disputes [PDF]
, 2023 The COVID-19 pandemic caused a rapid acceleration towards methods of dispute resolution which enabled disputants to participate remotely. Whilst important research has been published on its impact on participants in court proceedings, very little ...
Sixsmith, David
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Mediation Analysis with Multiple Mediators [PDF]
Epidemiologic Methods, 2014 Recent advances in the causal inference literature on mediation have extended traditional approaches to direct and indirect effects to settings that allow for interactions and non-linearities. In this paper, these approaches from causal inference are further extended to settings in which multiple mediators may be of interest.
VanderWeele, Tyler, Vansteelandt, Stijn
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Annual Review of Psychology, 2007 Abstract Mediating variables are prominent in psychological theory and research. A mediating variable transmits the effect of an independent variable on a dependent variable. Differences between mediating variables and confounders, moderators, and covariates are outlined. Statistical methods to assess mediation and modern comprehensive approaches are
MacKinnon, D. P. +2 more
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Causal Mediation Analysis with Multiple Mediators [PDF]
Biometrics, 2014 Summary In diverse fields of empirical research—including many in the biological sciences—attempts are made to decompose the effect of an exposure on an outcome into its effects via a number of different pathways. For example, we may wish to separate the effect of heavy alcohol consumption on systolic blood pressure (SBP) into effects ...
Daniel, RM +3 more
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Flexible Mediation Analysis With Multiple Mediators [PDF]
American Journal of Epidemiology, 2017 The advent of counterfactual-based mediation analysis has triggered enormous progress on how, and under what assumptions, one may disentangle path-specific effects upon combining arbitrary (possibly nonlinear) models for mediator and outcome. However, current developments have largely focused on single mediators because required identification ...
Johan, Steen +3 more
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Causal mediation analysis with a latent mediator [PDF]
Biometrical Journal, 2015 Health researchers are often interested in assessing the direct effect of a treatment or exposure on an outcome variable, as well as its indirect (or mediation) effect through an intermediate variable (or mediator). For an outcome following a nonlinear model, the mediation formula may be used to estimate causally interpretable mediation effects.
Albert, Jeffrey M. +2 more
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Interventional Effects for Mediation Analysis with Multiple Mediators [PDF]
Epidemiology, 2017 The mediation formula for the identification of natural (in)direct effects has facilitated mediation analyses that better respect the nature of the data, with greater consideration of the need for confounding control. The default assumptions on which it relies are strong, however.
Vansteelandt, Stijn, Daniel, Rhian M
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European Journal of Public Health, 2023 Abstract Understanding mechanisms between the urban environmental exposome and cognitive functioning outcomes is a key aim of the SPACE project. Structural equation modelling (SEM) offers a framework in which to consider potential mechanisms identified in DAGs (see IAP, Presentation 1) and evaluate their contribution to total effects ...
Ding-Geng Chen, Yiu-Fai Yung
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