Association measures for clustered competing risks

DOI10.1002/sim.8413zbMATH Open1546.62717MaRDI QIDQ6627312

Chien-Lin Su, Lajmi Lakhal-Chaieb

Publication date: 29 October 2024

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

zbMATH Keywords

expectation-maximization algorithmCopulacause-specific hazard functionscause-specific failure timesCox Proportional hazard model

Mathematics Subject Classification ID

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

Cites Work

• Competing risks regression for clustered data
• An introduction to copulas. Properties and applications
• Two-stage estimation in copula models used in family studies
• On semi-competing risks data
• Statistical Inference Procedures for Bivariate Archimedean Copulas
• Association analyses of clustered competing risks data via cross hazard ratio
• Competing Risks
• Predicting cumulative incidence probability by direct binomial regression
• 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
• Multivariate Generalizations of the Proportional Hazards Model
• Bivariate Survival Models Induced by Frailties
• Modelling multivariate failure time associations in the presence of a competing risk
• Marginal Regression Models for Multivariate Failure Time Data
• A Proportional Hazards Model for the Subdistribution of a Competing Risk
• Modelling hierarchical clustered censored data with the hierarchical Kendall copula
• A semiparametric random effects model for multivariate competing risks data
• Extending the Archimedean Copula Methodology to Model Multivariate Survival Data Grouped in Clusters of Variable Size
• Regression Modeling of Competing Risks Data Based on Pseudovalues of the Cumulative Incidence Function
• Cumulative Incidence Association Models for Bivariate Competing Risks Data

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