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Sampling weighting strategies in causal mediation analysis [PDF]
BMC Medical Research MethodologyBackground Causal mediation analysis plays a crucial role in examining causal effects and causal mechanisms. Yet, limited work has taken into consideration the use of sampling weights in causal mediation analysis.
Donna L. Coffman +4 more
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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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Causal Mediation Analysis [PDF]
The Stata Journal, 2011 Estimating the mechanisms that connect explanatory variables with the explained variable, also known as “mediation analysis,” is central to a variety of social-science fields, especially psychology, and increasingly to fields like epidemiology. Recent work on the statistical methodology behind mediation analysis points to limitations in earlier methods.
Dustin Tingley
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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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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.
Sijia Huang +2 more
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Bayesian Causal Mediation Analysis with Latent Mediators and Survival Outcome
Structural Equation Modeling, 2021 This study develops a joint modeling approach that incorporates latent traits into causal mediation analysis with multiple mediators and a survival outcome. A linear structural equation model is used to characterize the latent mediators with several highly correlated observable surrogates and depicts the relationships among multiple parallel or ...
Xinyuan Song
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An introduction to causal mediation analysis
Asia Pacific Education ReviewAbstractCausal mediation analysis has gained increasing attention in recent years. This article guides empirical researchers through the concepts and challenges of causal mediation analysis. I first clarify the difference between traditional and causal mediation analysis and highlight the importance of adjusting for the treatment-by-mediator ...
Xu Qin, Xu Qin
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Causal mediation analysis with mediator values below an assay limit. [PDF]
Stat MedCausal indirect and direct effects provide an interpretable method for decomposing the total effect of an exposure on an outcome into the indirect effect through a mediator and the direct effect through all other pathways. A natural choice for a mediator in a randomized clinical trial is the treatment's targeted biomarker. However, when the mediator is
Chernofsky A, Bosch RJ, Lok JJ.
europepmc +4 more sources
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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A unified web cloud computing platform MiMedSurv for microbiome causal mediation analysis with survival responses [PDF]
Scientific ReportsIn human microbiome studies, mediation analysis has recently been spotlighted as a practical and powerful analytic tool to survey the causal roles of the microbiome as a mediator to explain the observed relationships between a medical treatment ...
Hyojung Jang, Hyunwook Koh
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