Mediation analysis in epidemiology: methods, interpretation and bias

A Three-way Decomposition of a Total Effect into Direct, Indirect, and Interactive Effects

(2013) Tyler J. VanderWeele   EPIDEMIOLOGY

A Simple Unified Approach for Estimating Natural Direct and Indirect Effects

(2012) Theis Lange et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Analytic Results on the Bias Due to Nondifferential Misclassification of a Binary Mediator

(2012) E. L. Ogburn et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Confounding of Indirect Effects: A Sensitivity Analysis Exploring the Range of Bias Due to a Cause Common to Both the Mediator and the Outcome

(2011) Danella M. Hafeman   AMERICAN JOURNAL OF EPIDEMIOLOGY

Causal Mediation Analysis With Survival Data

(2011) Tyler J. VanderWeele   EPIDEMIOLOGY

Direct and Indirect Effects in a Survival Context

(2011) Theis Lange et al.   EPIDEMIOLOGY

Conditioning on Intermediates in Perinatal Epidemiology

(2011) Tyler J. VanderWeele et al.   EPIDEMIOLOGY

Estimating Direct Effects in Cohort and Case–Control Studies

(2010) Stijn Vansteelandt   EPIDEMIOLOGY

Bias Formulas for Sensitivity Analysis for Direct and Indirect Effects

(2010) Tyler J. VanderWeele   EPIDEMIOLOGY

Opening the Black Box: a motivation for the assessment of mediation

(2009) Danella M Hafeman et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Causal Directed Acyclic Graphs and the Direction of Unmeasured Confounding Bias

(2008) Tyler J. VanderWeele et al.   EPIDEMIOLOGY

Marginal Structural Models for the Estimation of Direct and Indirect Effects

(2008) Tyler J. VanderWeele   EPIDEMIOLOGY