Mediation refers to the effect transmitted by mediators that intervene in the relationship
between an exposure and a response variable. Mediation analysis has been broadly …

Theories in many substantive disciplines specify the mediating mechanisms by which an
antecedent variable is related to an outcome variable. In both intervention and observational …

We use causal graphs and a partly hypothetical example from the Physicians' Health Study
to explain why a common standard method for quantifying direct effects (ie stratifying on the …

Many common problems in epidemiologic and clinical research involve estimating the effect
of an exposure on an outcome while blocking the exposure's effect on an intermediate …

Background: Mendelian randomization uses genetic variants, assumed to be instrumental
variables for a particular exposure, to estimate the causal effect of that exposure on an …

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 …

Parametric Mediational g-Formula Approach to Mediation Analy... : Epidemiology
Parametric Mediational g-Formula Approach to Mediation Analysis with Time-varying …

The assessment of indirect effects is an important tool for epidemiologists interested in
exploring the mechanisms of exposure-disease relations. A standard way of expressing an …

For many research questions in perinatal epidemiology, gestational age is a mediator that
features the causal pathway between exposure and outcome. A mediator is an intermediate …

Background Mediation analysis tests whether the relationship between two variables is
explained by a third intermediate variable. We sought to describe the usage and reporting of …