Background Mediation analysis methodology underwent many advancements throughout
the years, with the most recent and important advancement being the development of causal …

In epidemiological studies it is often necessary to disentangle the pathways that link an
exposure to an outcome. Typically the aim is to identify the total effect of the exposure on the …

Background: Mediation analysis is a powerful tool for understanding mechanisms, but
conclusions about direct and indirect effects will be invalid if there is unmeasured …

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 …

This article provides an overview of recent developments in mediation analysis, that is,
analyses used to assess the relative magnitude of different pathways and mechanisms by …

Background/aims Statistical mediation analysis is an often used method in trials, to unravel
the pathways underlying the effect of an intervention on a particular outcome variable …

In this letter, we introduce CMAverse, an R package that provides a suite of functions for
reproducible causal mediation analysis including directed acyclic graph (DAG) visualization …

Mediation analysis is an important statistical method in prevention research, as it can be
used to determine effective intervention components. Traditional mediation analysis defines …

Questions of mediation are often of interest in reasoning about mechanisms, and methods
have been developed to address these questions. However, these methods make strong …

The mediation formula for the identification of natural (in) direct effects has facilitated
mediation analyses that better respect the nature of the data, with greater consideration of …