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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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Graphical models for mediation analysis [PDF]
, 2018 Mediation analysis seeks to infer how much of the effect of an exposure on an outcome can be attributed to specific pathways via intermediate variables or mediators. This requires identification of so-called path-specific effects.
Steen, Johan, Vansteelandt, Stijn
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Causal mediation analysis with multiple mediators. [PDF]
Biometrics, 2014 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.
Cousens, SN +3 more
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Interventional effects for mediation analysis with multiple mediators [PDF]
Epidemiology, 2016 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
Daniel, Rhian M, Vansteelandt, Stijn
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Introduction to Mediation Analysis and Examples of Its Application to Real-world Data [PDF]
Journal of Preventive Medicine and Public Health, 2021 Traditional epidemiological assessments, which mainly focused on evaluating the statistical association between two major components-the exposure and outcome-have recently evolved to ascertain the in-between process, which can explain the underlying ...
Sun Jae Jung
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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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Frontiers in Education, 2022 Experimental and quasi-experimental designs have been increasingly employed in education. Mediation analysis has long been used to measure the role of mediators.
W. Edward Chi +5 more
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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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Role of covariates in the analysis of causal mediation effects
Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce the theoretical basis of the causal mediation effect analysis and the specific method to realize an example by the causal mediation effect analysis with SAS.
Hu Chunyan, Hu Liangping
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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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