On Bayesian estimation of the multiple decrement function in the competing risks problem. II: The discrete case

DOI10.1016/S0167-7152(97)00032-1zbMath0904.62039MaRDI QIDQ1373946

Andrew A. Neath, Francisco J. Samaniego

Publication date: 21 January 1999

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

survival timesBayes estimatorsasymptotic posterior distributionmultiple decrement functionmyeloma patients

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Cites Work

• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• On the posterior distribution of a Dirichlet process given randomly right censored observations
• On Bayesian estimation of the multiple decrement function in the competing risks problem
• Ferguson distributions via Polya urn schemes
• A Bayesian analysis of some nonparametric problems
• A nonidentifiability aspect of the problem of competing risks.
• Bounds for a joint distribution function with fixed sub-distribution functions: Application to competing risks
• Nonparametric Bayesian Estimation of Survival Curves from Incomplete Observations

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