Bayesian Analysis of Discrete Survival Data with a Hidden Markov Chain

DOI10.1111/J.0006-341X.2000.01002.XzbMath1060.62509WikidataQ30621286 ScholiaQ30621286MaRDI QIDQ4670451

Hideo Kozumi

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

hidden Markov chainMarkov chain Monte Carlohazard functiondiscrete survival data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Survival analysis and censored data (62N99) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (1)

MCMC implementation for Bayesian hidden semi-Markov models with illustrative applications

Uses Software

• Ox
• Fahrmeir

Cites Work

• Unnamed Item
• Calculating posterior distributions and modal estimates in Markov mixture models
• Estimation and comparison of multiple change-point models
• Markov chains for exploring posterior distributions. (With discussion)
• Sampling-Based Approaches to Calculating Marginal Densities
• Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve
• Inference for a hazard rate change point
• On the Treatment of Grouped Observations in Life Studies
• A lofistic rlgression analysis of response-time data where the hazard function is time dependent
• Dynamic modelling and penalized likelihood estimation for discrete time survival data
• Dynamic Bayesian Models for Survival Data
• Contemporary Bayesian Econometrics and Statistics

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