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mediation: R Package for Causal Mediation Analysis [PDF]
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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Tutorial on Causal Mediation Analysis for Pharmacometricians [PDF]
Mediation analyses can support biomarker development by quantifying the part of the total treatment effect on clinical outcome that is mediated by the biomarker.
Sebastiaan Camiel Goulooze +2 more
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A comparison and evaluation of statistical methods for mediation analysis with mixtures of environmental exposures [PDF]
Background Environmental studies often evaluate how exposures influence health outcomes through intermediate biological processes. In practice, researchers are often interested in complex exposure mixtures rather than single agents, creating challenges ...
Sean McGrath +6 more
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Mediation analysis with graph mediator. [PDF]
Summary This study introduces a mediation analysis framework when the mediator is a graph. A Gaussian covariance graph model is assumed for graph presentation. Causal estimands and assumptions are discussed under this presentation.
Xu Y, Zhao Y.
europepmc +5 more sources
Introduction to Mediation Analysis and Examples of Its Application to Real-world Data [PDF]
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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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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Mediation Analysis with Multiple Mediators [PDF]
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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Role of covariates in the analysis of causal mediation effects
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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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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Mediation analysis methods used in observational research: a scoping review and recommendations
Background Mediation analysis methodology underwent many advancements throughout the years, with the most recent and important advancement being the development of causal mediation analysis based on the counterfactual framework.
Judith J. M. Rijnhart +5 more
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