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Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros.
TLDR
We compare the types of inferences about mediation that are possible in the presence of exposure-mediator interaction when using a counterfactual versus the standard statistical approach. Expand
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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 canExpand
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Marginal Structural Models for the Estimation of Direct and Indirect Effects
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 toExpand
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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 mediationExpand
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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 fromExpand
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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
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Mediation Analysis: A Practitioner's Guide.
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 which an exposure mayExpand
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Bias Formulas for Sensitivity Analysis for Direct and Indirect Effects
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
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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 andExpand
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On causal inference in the presence of interference
TLDR
We summarise some concepts and results from the existing literature and extend that literature in considering new results for finite sample inference, new inverse probability weighting estimators in the presence of interference and new causal estimands of interest. Expand
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