Exact parametric causal mediation analysis for a binary outcome with a binary mediator

DOI10.1007/s10260-021-00562-wOpenAlexW3153934883MaRDI QIDQ2125970

Elena Stanghellini, Martina Raggi, Marco Doretti

Publication date: 14 April 2022

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1811.00439

zbMATH Keywords

logistic regressionodds ratiocausal inferencedirect and indirect effectsmediation analysiseffect decomposition

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Bayesian joint modeling for causal mediation analysis with a binary outcome and a binary mediator: Exploring the role of obesity in the association between cranial radiation therapy for childhood acute lymphoblastic leukemia treatment and the long-term risk of insulin resistance ⋮ Sensitivity analysis for unobserved confounding in causal mediation analysis allowing for effect modification, censoring and truncation

Uses Software

• SPSS
• SAS

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nonparametric IV estimation of local average treatment effects with covariates
• Uncertainty intervals for regression parameters with non-ignorable missingness in the outcome
• Conceptual issues concerning mediation, interventions and composition
• Assumptions of IV methods for observational epidemiology
• Identification, inference and sensitivity analysis for causal mediation effects
• Confounding and collapsibility in causal inference
• Augmented Designs to Assess Principal Strata Direct Effects
• Causal mediation analysis with multiple mediators
• Every Missingness not at Random Model Has a Missingness at Random Counterpart with Equal Fit
• The central role of the propensity score in observational studies for causal effects
• Direct and Indirect Treatment Effects–Causal Chains and Mediation Analysis with Instrumental Variables
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• Making Sense of Sensitivity: Extending Omitted Variable Bias
• Identifying Direct and Indirect Effects in a Non-Counterfactual Framework
• On a generalization of a result of W. G. Cochran
• On marginal and conditional parameters in logistic regression models

This page was built for publication: Exact parametric causal mediation analysis for a binary outcome with a binary mediator