Estimating the natural indirect effect and the mediation proportion via the product method
Background The natural indirect effect (NIE) and mediation proportion (MP) are two
measures of primary interest in mediation analysis. The standard approach for mediation …
measures of primary interest in mediation analysis. The standard approach for mediation …
An exact regression‐based approach for the estimation of natural direct and indirect effects with a binary outcome and a continuous mediator
In the causal mediation framework, a number of parametric regression‐based approaches
have been introduced in recent years for estimating natural direct and indirect effects for a …
have been introduced in recent years for estimating natural direct and indirect effects for a …
Is the product method more efficient than the difference method for assessing mediation?
Mediation analysis is widely used in biomedical research to quantify the extent to which the
effect from an exposure on a health outcome is through a mediator and the extent to which …
effect from an exposure on a health outcome is through a mediator and the extent to which …
[HTML][HTML] Bayesian joint modeling for causal mediation analysis with a binary outcome and a binary mediator: Exploring the role of obesity in the association between …
Mediation analysis with a binary outcome is notoriously more challenging than with a
continuous outcome. A new Bayesian approach for performing causal mediation with a …
continuous outcome. A new Bayesian approach for performing causal mediation with a …
Sensitivity analysis for unobserved confounding in causal mediation analysis allowing for effect modification, censoring and truncation
A Lindmark - Statistical Methods & Applications, 2022 - Springer
Causal mediation analysis is used to decompose the total effect of an exposure on an
outcome into an indirect effect, taking the path through an intermediate variable, and a direct …
outcome into an indirect effect, taking the path through an intermediate variable, and a direct …
An empirical evaluation of approximate and exact regression-based causal mediation approaches for a binary outcome and a continuous or a binary mediator for case …
M Caubet, K L'Espérance, A Koushik… - BMC Medical Research …, 2024 - Springer
Background In the causal mediation analysis framework, several parametric regression-
based approaches have been introduced in past years for decomposing the total effect of an …
based approaches have been introduced in past years for decomposing the total effect of an …
Path analysis for binary random variables
M Raggi, E Stanghellini… - Sociological Methods & …, 2023 - journals.sagepub.com
The decomposition of the overall effect of a treatment into direct and indirect effects is here
investigated with reference to a recursive system of binary random variables. We show how …
investigated with reference to a recursive system of binary random variables. We show how …
The derivative-based approach to nonlinear mediation models: insights and applications
Traditional mediation analysis has been developed in the context of linear models, enabling
the estimation of indirect effects through the product of regression coefficients. However, in …
the estimation of indirect effects through the product of regression coefficients. However, in …
Investigating the Causal Effect of Deforestation on Infant Health Through Soil Characteristics: A Comparison of Traditional and Machine Learning Mediation Analysis …
C Di Maria - Journal of Agricultural, Biological and Environmental …, 2025 - Springer
Deforestation is a global threat that impacts the environment and biodiversity in several
ways. Recently, some scholars started investigating how deforestation affects human health …
ways. Recently, some scholars started investigating how deforestation affects human health …
Mediation analysis with case–control sampling: Identification and estimation in the presence of a binary mediator
With reference to a stratified case–control (CC) procedure based on a binary variable of
primary interest, we derive the expression of the distortion induced by the sampling design …
primary interest, we derive the expression of the distortion induced by the sampling design …