Results 11 to 20 of about 64,095 (292)
Structural Equation Modeling: A Multidisciplinary Journal, 2022 Although causal mediation analysis clarifies causal effect estimation, little attention has been devoted to the differences between causal estimation approaches. This paper illustrates the difference between the causal estimation approaches for mediation models with a binary mediator.
Noah A. Schuster +3 more
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Disentangled Representation for Causal Mediation Analysis
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Estimating direct and indirect causal effects from observational data is crucial to understanding the causal mechanisms and predicting the behaviour under different interventions. Causal mediation analysis is a method that is often used to reveal direct and indirect effects.
Ziqi Xu 0001 +5 more
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Causal Mediation Analysis: A Summary‐Data Mendelian Randomization Approach [PDF]
Statistics in Medicine[[abstract]]data Mendelian randomization (MR), a widely used approach in causal inference, has recently attracted attention for improving causal mediation analysis.
Shu-Chin Lin +2 more
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Causal mediation analysis with a three‐dimensional image mediator
Statistics in Medicine, 2023 Causal mediation analysis is increasingly abundant in biology, psychology, and epidemiology studies and so forth. In particular, with the advent of the big data era, the issue of high‐dimensional mediators is becoming more prevalent. In neuroscience, with the widespread application of magnetic resonance technology in the field of brain imaging, studies
Minghao Chen, Yingchun Zhou
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An Introduction to Causal Mediation Analysis With a Comparison of 2 R Packages [PDF]
Journal of Preventive Medicine and Public Health, 2023 Traditional mediation analysis, which relies on linear regression models, has faced criticism due to its limited suitability for cases involving different types of variables and complex covariates, such as interactions.
Sangmin Byeon, Woojoo Lee
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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 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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Key technology and multi-directional decomposition method of the causal mediation effect analysis
Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce five key techniques and the multi-directional decomposition methods of effect components in the analysis of causal mediation effects.
Hu Chunyan, Hu Liangping
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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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Generalized Causal Mediation Analysis [PDF]
Biometrics, 2011 The goal of mediation analysis is to assess direct and indirect effects of a treatment or exposure on an outcome. More generally, we may be interested in the context of a causal model as characterized by a directed acyclic graph (DAG), where mediation via a specific path from exposure to outcome may involve an arbitrary number of links (or "stages ...
Albert, Jeffrey M., Nelson, Suchitra
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