Results 1 to 10 of about 22,390,894 (295)
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.
Stijn Vansteelandt, Tyler Vanderweele
exaly +4 more sources
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
doaj +6 more sources
Mediation analysis with graph mediator. [PDF]
BiostatisticsSummary 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
On the Interpretation and Use of Mediation: Multiple Perspectives on Mediation Analysis
Frontiers in Psychology, 2017 Mediation analysis has become a very popular approach in psychology, and it is one that is associated with multiple perspectives that are often at odds, often implicitly.
Paul de Boeck
exaly +3 more sources
Tutorial on Causal Mediation Analysis for Pharmacometricians [PDF]
CPT: Pharmacometrics & Systems PharmacologyMediation 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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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
doaj +1 more source
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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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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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
openaire +2 more sources
Mediation analysis methods used in observational research: a scoping review and recommendations
BMC Medical Research Methodology, 2021 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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