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 …

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 …

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 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 …

An important recent development in mediation analysis is the use of causal mediation
analysis. Causal mediation analysis decomposes the total exposure effect into causal direct …

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

Methods from causal mediation analysis have generalized the traditional approach to direct
and indirect effects in the epidemiologic and social science literature by allowing for …

An important problem within both epidemiology and many social sciences is to break down
the effect of a given treatment into different causal pathways and to quantify the importance …

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

Causal mediation modeling has become a popular approach for studying the effect of an
exposure on an outcome through a mediator. However, current methods are not applicable …