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 …

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 …

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 …

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 …

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 …

Within the fields of epidemiology, interventions research and social sciences researchers
are often faced with the challenge of decomposing the effect of an exposure into different …

Despite the recent flourishing of mediation analysis techniques, many modern approaches
are difficult to implement or applicable to only a restricted range of regression models. This …

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 …

For dichotomous outcomes, the authors discuss when the standard approaches to mediation
analysis used in epidemiology and the social sciences are valid, and they provide …

Mediation analysis is routinely adopted by researchers from a wide range of applied
disciplines as a statistical tool to disentangle the causal pathways by which an exposure or …