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 …

Abstract Concepts concerning mediation in the causal inference literature are reviewed.
Notions of direct and indirect effects from a counterfactual approach to mediation are compared …

Objectives To describe the methodological characteristics of mediation analyses (MAs)
reported in recent randomized controlled trials (RCTs) and to propose recommendations on the …

This article reviews inverse probability weighting methods and doubly robust estimation
methods for the analysis of incomplete data sets. We first consider methods for estimating a …

Rationale: Measuring the attributable mortality of ventilator-associated pneumonia (VAP) is
challenging and prone to different forms of bias. Studies addressing this issue have …

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 …

Multiple imputation is now a well-established technique for analysing data sets where some
units have incomplete observations. Provided that the imputation model is correct, the …

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-…

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 of …

Psychologically based interventions aim to improve pain-related functioning by targeting
pain-related fears, cognitions and behaviors. Mediation and moderation analyses permit further …