An empirical evaluation of approximate and exact regression-based causal mediation approaches for a binary outcome and a continuous or a binary mediator for case-control study designs

An empirical evaluation of approximate and exact regression-based causal mediation approaches for a binary outcome and a continuous or a binary mediator for case-control study designs

Abstract Background In the causal mediation analysis framework, several parametric regression-based approaches have been introduced in past years for decomposing the total effect of an exposure on a binary outcome into a direct effect and an indirect effect through a target mediator. In this context...

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Bibliographic Details
Main Authors: Miguel Caubet, Kevin L’Espérance, Anita Koushik, Geneviève Lefebvre
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Medical Research Methodology
Subjects:
Mediation analysis
Counterfactuals
Binary outcomes
Natural effects
Case-control study
Rare outcome assumption
Online Access:https://doi.org/10.1186/s12874-024-02156-y

Internet

https://doi.org/10.1186/s12874-024-02156-y

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