Causal mediation analysis is a useful tool for epidemiologic research, but it has been
criticized for relying on a “cross-world” independence assumption that counterfactual …

The use of causal mediation analysis to evaluate the pathways by which an exposure affects
an outcome is widespread in the social and biomedical sciences. Recent advances in this …

Mediation analysis is concerned with the decomposition of the total effect of an exposure on
an outcome into the indirect effect, through a given mediator, and the remaining direct effect …

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 …

The causal inference literature has provided definitions of direct and indirect effects based
on counterfactuals that generalize the approach found in the social science literature …

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 …

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 …

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 …

The causal mediation literature has mainly focused on “natural effects” as measures of
mediation, but these have been criticized for their reliance on empirically unverifiable …

Recently, researchers have used a potential-outcome framework to estimate causally
interpretable direct and indirect effects of an intervention or exposure on an outcome. One …