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 …

Recent advances in the causal inference literature on mediation have extended traditional
approaches to direct and indirect effects to settings that allow for interactions and non …

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

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 …

The advent of counterfactual-based mediation analysis has triggered enormous progress on
how, and under what assumptions, one may disentangle path-specific effects upon …

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

The study of mediation has a long tradition in the social sciences and a relatively more
recent one in epidemiology. The first school is linked to path analysis and structural equation …

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 …

Recent work has considerably advanced the definition, identification and estimation of
controlled direct, and natural direct and indirect effects in causal mediation analysis. Despite …

Mediation analysis is a valuable approach to examine pathways in epidemiological
research. Prospective cohort studies are often conducted to study biological mechanisms …