A Semiparametric Bayesian Approach for the Analysis of Competing Risks Data

DOI10.1080/03610920903551781zbMath1270.62060OpenAlexW2060792011MaRDI QIDQ2920079

E. P. Sreedevi, Paduthol Godan Sankaran

Publication date: 23 October 2012

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920903551781

zbMATH Keywords

semiparametric modelpartial likelihood methodgamma prior

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Bayesian survival analysis using gamma processes with adaptive time partition ⋮ Cause-specific hazard regression estimation for modified Weibull distribution under a class of non-informative priors

Cites Work

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• Nonparametric Bayes estimators based on beta processes in models for life history data
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• A Bayesian analysis of some nonparametric problems
• Analysis of Competing Risks by Using Bayesian Smoothing
• Computations via Auxiliary Random Functions for Survival Models
• Partial likelihood
• Bayesian density estimation via dirichlet density processes
• Markov Beta and Gamma Processes for Modelling Hazard Rates
• A Semiparametric Mixture Model for Analyzing Clustered Competing Risks Data

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