Causal mediation analysis for survival outcome with unobserved mediator-outcome confounders

DOI10.1016/J.CSDA.2014.11.016zbMath1468.62127OpenAlexW2073493601MaRDI QIDQ1660220

Peng Luo, Zhi Geng

Publication date: 15 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2014.11.016

zbMATH Keywords

survival analysiscausal inferencedirect and indirect effectsmediation analysis

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Special issue on advances in survival analysis ⋮ Multiple mediation analysis for interval-valued data ⋮ Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach

Cites Work

• Identification, inference and sensitivity analysis for causal mediation effects
• Confounding in the estimation of mediation effects
• Survival analysis. Techniques for censored and truncated data
• Identification of Causal Effects Using Instrumental Variables
• Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies

This page was built for publication: Causal mediation analysis for survival outcome with unobserved mediator-outcome confounders