The impact of adjusting for pure predictors of exposure, mediator, and outcome on the variance of natural direct and indirect effect estimators
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Publication:6627780
DOI10.1002/sim.8906zbMATH Open1546.62193MaRDI QIDQ6627780
Denis Talbot, Geneviève Lefebvre, Caroline S. Duchaine, Danielle Laurin, Awa Diop
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Conceptual issues concerning mediation, interventions and composition
- A New Criterion for Confounder Selection
- Covariate selection for the nonparametric estimation of an average treatment effect
- Outcome‐adaptive lasso: Variable selection for causal inference
- Natural Direct and Indirect Effects on the Exposed: Effect Decomposition under Weaker Assumptions
- Covariate selection strategies for causal inference: Classification and comparison
- Mediation Analysis with time Varying Exposures and Mediators
- Causal Inference Using Potential Outcomes
- Using simulation studies to evaluate statistical methods
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