Background The natural indirect effect (NIE) and mediation proportion (MP) are two
measures of primary interest in mediation analysis. The standard approach for mediation …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

Deforestation is a global threat that impacts the environment and biodiversity in several
ways. Recently, some scholars started investigating how deforestation affects human health …