Flexible association modelling and prediction with semi‐competing risks data

DOI10.1002/CJS.11289zbMath1352.62149OpenAlexW2473290991MaRDI QIDQ5507363

Ruosha Li, Yu Cheng

Publication date: 19 December 2016

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.11289

zbMATH Keywords

concordanceleft truncationrisk predictionterminal eventassociation structurelandmark event

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Uses Software

• landpred

Cites Work

• Unnamed Item
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• On semi-competing risks data
• A new flexible dependence measure for semi-competing risks
• Time-dependent cross ratio estimation for bivariate failure times
• Statistical Analysis of Illness-Death Processes and Semicompeting Risks Data
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• Estimating the Association Parameter for Copula Models Under Dependent Censoring
• Estimation of time‐dependent association for bivariate failure times in the presence of a competing risk
• Incorporating short‐term outcome information to predict long‐term survival with discrete markers
• Regression Modeling of Semicompeting Risks Data
• Estimating Survival and Association in a Semicompeting Risks Model
• Pseudo Self-Consistent Estimation of a Copula Model with Informative Censoring
• Nonparametric estimation with left-truncated semicompeting risks data

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