A novel causal mediation analysis approach for zero‐inflated mediators
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DOI: 10.1002/sim.9689
Abstract: Mediation analyses play important roles in making causal inference in biomedical research to examine causal pathways that may be mediated by one or more intermediate variables (ie, mediators). Although mediation frameworks have been well established… read more here.
Keywords: mediation analysis; causal mediation; mediation; zero inflated ... See more keywords
Individualized causal mediation analysis with continuous treatment using conditional generative adversarial networks
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DOI: 10.1007/s11222-024-10484-8
Abstract: Traditional methods used in causal mediation analysis with continuous treatment often focus on estimating average causal effects, limiting their applicability in precision medicine. Machine learning techniques have emerged as a powerful approach for precisely estimating… read more here.
Keywords: individualized causal; medicine; cgan icma; continuous treatment ... See more keywords
Causal Mediation Analysis Could Resolve Whether Training-Induced Increases in Muscle Strength are Mediated by Muscle Hypertrophy
Sign Up to like & getrecommendations! Published in 2019 at "Sports Medicine"
DOI: 10.1007/s40279-019-01131-8
Abstract: Resistance training increases muscle size (i.e., causes hypertrophy) and muscle strength, particularly in untrained individuals. Hypertrophy is widely believed to be one of the mechanisms (i.e., a mediator) by which resistance training increases strength. However,… read more here.
Keywords: strength; causal mediation; mediation analysis; training ... See more keywords
Latently Mediating: A Bayesian Take on Causal Mediation Analysis with Structured Survey Data
Sign Up to like & getrecommendations! Published in 2024 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2024.2424514
Abstract: Abstract In this paper, we propose a Bayesian causal mediation approach to the analysis of experimental data when both the outcome and the mediator are measured through structured questionnaires based on Likert-scaled inquiries. Our estimation… read more here.
Keywords: survey data; analysis; mediation analysis; causal mediation ... See more keywords
High-dimensional causal mediation analysis by partial sum statistic and sample splitting strategy in imaging genetics application
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DOI: 10.1093/bioinformatics/btaf493
Abstract: Abstract Summary Causal mediation analysis investigates the role of mediators in the relationship between exposure and outcome. In the analysis of omics or imaging data, mediators are often high-dimensional, presenting challenges such as multicollinearity and… read more here.
Keywords: genetics; mediation; high dimensional; mediation analysis ... See more keywords
Estimating and testing the microbial causal mediation effect with high-dimensional and compositional microbiome data
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz565
Abstract: MOTIVATION Recent microbiome association studies have revealed important associations between microbiome and disease/health status. Such findings encourage scientists to dive deeper to uncover the causal role of microbiome in the underlying biological mechanism, and have… read more here.
Keywords: high dimensional; causal mediation; causal; microbiome ... See more keywords
Cash transfer program and child underweight—Empirical evidence from a causal mediation analysis
Sign Up to like & getrecommendations! Published in 2020 at "Agricultural Economics"
DOI: 10.1111/agec.12555
Abstract: Despite the existence of a voluminous literature on cash transfer programs, little is known about their impacts on the underweight of children. To fill the knowledge gap, this study uses a unique individual panel data… read more here.
Keywords: causal mediation; mediation analysis; analysis; program ... See more keywords
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang
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DOI: 10.1111/biom.13520
Abstract: We congratulate Dr. Huang for his contribution to tackle an important yet underexplored problem. The problemhas numerous potential applications inmedical researchwhen both the primary and intermediate outcomes are event times, but the presence of a… read more here.
Keywords: huang; mediation semicompeting; causal mediation; discussion causal ... See more keywords
Causal mediation analysis with multiple causally non-ordered mediators
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DOI: 10.1177/0962280215615899
Abstract: In many health studies, researchers are interested in estimating the treatment effects on the outcome around and through an intermediate variable. Such causal mediation analyses aim to understand the mechanisms that explain the treatment effect.… read more here.
Keywords: non ordered; causal mediation; mediation; causally non ... See more keywords
Variable selection for causal mediation analysis using LASSO-based methods
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DOI: 10.1177/0962280221997505
Abstract: Causal mediation effect estimates can be obtained from marginal structural models using inverse probability weighting with appropriate weights. In order to compute weights, treatment and mediator propensity score models need to be fitted first. If… read more here.
Keywords: score models; causal mediation; mediation; effect ... See more keywords
Causal mediation analysis with multiple causally non-ordered and ordered mediators based on summarized genetic data.
Sign Up to like & getrecommendations! Published in 2022 at "Statistical methods in medical research"
DOI: 10.1177/09622802221084599
Abstract: Causal mediation analysis investigates the mechanism linking exposure and outcome. Dealing with the impact of unobserved confounders among exposure, mediator and outcome is an issue of great concern. Moreover, when multiple mediators exist, this causal… read more here.
Keywords: mediation; non ordered; multiple causally; causal ... See more keywords