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Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros.
TLDR
The developments in mediation analysis for nonlinear models within the counterfactual framework within the psychology audience is brought to an accessible format and the types of inferences about mediation that are allowed by a variety of software macros are compared.
Sensitivity Analysis in Observational Research: Introducing the E-Value
TLDR
An important approach to evaluating evidence for causation in the face of unmeasured confounding is sensitivity analysis (or bias analysis), and it is proposed that observational studies start reporting the E-value, a new measure related to evidence for causality.
Marginal Structural Models for the Estimation of Direct and Indirect Effects
TLDR
The estimation of controlled direct effects can be carried out by fitting a marginal structural model and using inverse probability of treatment weighting and the marginal structural models used to estimate natural direct and indirect effects are made conditional on the covariates.
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
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
Mediation Analysis with Multiple Mediators
TLDR
Two analytic approaches, one based on regression and onebased on weighting are proposed to estimate the effect mediated through multiple mediators and the effects through other pathways, which are robust to unmeasured common causes of two or more mediators.
On causal inference in the presence of interference
TLDR
This article summarises some of the concepts and results from the existing literature and extends 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.
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,
Mediation Analysis: A Practitioner's Guide.
TLDR
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 may affect an outcome, is provided.
Bias Formulas for Sensitivity Analysis for Direct and Indirect Effects
TLDR
The paper provides formulas for the bias in estimates of direct and indirect effects due to confounding of the exposure-mediator relationship and of the mediator-outcome relationship that are particularly easy to use in sensitivity analysis.
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