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Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros.
Mediation analysis is a useful and widely employed approach to studies in the field of psychology and in the social and biomedical sciences. The contributions of this article are several-fold. First… Expand
Marginal Structural Models for the Estimation of Direct and Indirect Effects
- T. VanderWeele
- 1 January 2009
The estimation of controlled direct effects can be carried out by fitting a marginal structural model and using inverse probability of treatment weighting. To use marginal structural models to… Expand
Odds ratios for mediation analysis for a dichotomous outcome.
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 alternative mediation… Expand
Conceptual issues concerning mediation, interventions and composition
Concepts concerning mediation in the causal inference literature are reviewed. Notions of direct and indirect effects from a counterfactual approach to mediation are compared with those arising from… Expand
Sensitivity Analysis in Observational Research: Introducing the E-Value
Key Summary Points Motivation: Observational studies that attempt to assess causality between a treatment and an outcome may be subject to unmeasured confounding. Rationale: Sensitivity analysis can… Expand
Bias Formulas for Sensitivity Analysis for Direct and Indirect Effects
- T. VanderWeele
- 1 July 2010
A key question in many studies is how to divide the total effect of an exposure into a component that acts directly on the outcome and a component that acts indirectly, ie, through some intermediate.… Expand
Mediation Analysis with Multiple Mediators
Abstract 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… Expand
On causal inference in the presence of interference
- E. Tchetgen, T. VanderWeele
- Medicine, Mathematics
- Statistical methods in medical research
- 1 February 2012
Interference is said to be present when the exposure or treatment received by one individual may affect the outcomes of other individuals. Such interference can arise in settings in which the… Expand
A Tutorial on Interaction
Abstract In this tutorial, we provide a broad introduction to the topic of interaction between the effects of exposures. We discuss interaction on both additive and multiplicative scales using risks,… Expand
Recommendations for presenting analyses of effect modification and interaction.
Authors often do not give sufficient information to draw conclusions about the size and statistical significance of interaction on the additive and multiplicative scales. To improve this, we provide… Expand