Mediation analysis with causally ordered mediators using Cox proportional hazards model

DOI10.1002/sim.8058zbMATH Open1545.62271MaRDI QIDQ6625980

Shu-Hsien Cho, Yen-Tsung Huang

Publication date: 28 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

survival analysissemiparametric transformation modelpath-specific effectmultiple mediators

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Cox's regression model for counting processes: A large sample study
• Identification, inference and sensitivity analysis for causal mediation effects
• Bayesian inference for causal effects: The role of randomization
• Semiparametric transformation models for semicompeting survival data
• Mediation Analysis with Multiple Mediators
• Generalized Causal Mediation Analysis
• Causal mediation analysis with multiple mediators
• Partial likelihood
• Maximum Likelihood Estimation in Semiparametric Regression Models with Censored Data
• Mediation analysis for survival data using semiparametric probit models
• The Probability Function of the Product of Two Normally Distributed Variables
• On causal mediation analysis with a survival outcome
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Related Items (3)

Effect decomposition through multiple causally nonordered mediators in the presence of exposure-induced mediator-outcome confounding ⋮ Mendelian randomization using semiparametric linear transformation models ⋮ Survival mediation analysis with the death-truncated mediator: the completeness of the survival mediation parameter

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