Parametric estimation of association in bivariate failure-time data subject to competing risks: sensitivity to underlying assumptions

DOI10.1007/s10985-018-9438-3zbMath1429.62209OpenAlexW2886919420WikidataQ90748613 ScholiaQ90748613MaRDI QIDQ2274674

Jeongyong Kim, Karen J. Bandeen-Roche

Publication date: 1 October 2019

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6360142

zbMATH Keywords

survivalfrailtymultivariatedependenceconditional cause-specific hazard ratioconditional hazard ratio

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Uses Software

• R

Cites Work

• Unnamed Item
• Semicompeting risks in aging research: methods, issues and needs
• Kaplan-Meier estimate on the plane
• On negative mass assigned by the bivariate Kaplan-Meier estimator
• Nonparametric estimation of the bivariate survival function with truncated data
• A diagnostic for association in bivariate survival models
• Frailty-Based Competing Risks Model for Multivariate Survival Data
• Self-consistent nonparametric maximum likelihood estimator of the bivariate survivor function
• Association analyses of clustered competing risks data via cross hazard ratio
• Nonparametric estimation of bivariate failure time associations in the presence of a competing risk
• Nonparametric estimation of cause-specific cross hazard ratio with bivariate competing risks data
• Nonparametric Association Analysis of Bivariate Competing-Risks Data
• Nonparametric Association Analysis of Exchangeable Clustered Competing Risks Data
• Logistic-Normal Distributions: Some Properties and Uses
• Covariance and survivor function estimation using censored multivariate failure time data
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• Inferences on the Association Parameter in Copula Models for Bivariate Survival Data
• Modelling multivariate failure time associations in the presence of a competing risk
• A semiparametric random effects model for multivariate competing risks data

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