Bayesian Modeling of Recurrent Event Data with Dependent Censoring

DOI10.1080/03610910903551766zbMath1192.62072OpenAlexW2091908347MaRDI QIDQ3577188

Ananda Sen, Nibedita Bandyopadhyay

Publication date: 5 August 2010

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910903551766

zbMATH Keywords

frailtydependent censoringrecurrent eventlog-skew-\(t\)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Bayesian inference (62F15) Medical applications (general) (92C50)

Related Items (1)

Compound Poisson frailty model with a gamma process prior for the baseline hazard: accounting for a cured fraction

Cites Work

• Cox's regression model for counting processes: A large sample study
• Slice sampling. (With discussions and rejoinder)
• Inference from iterative simulation using multiple sequences
• Monte Carlo methods in Bayesian computation
• Some Graphical Displays and Marginal Regression Analyses for Recurrent Failure Times and Time Dependent Covariates
• Shared Frailty Models for Recurrent Events and a Terminal Event
• On the regression analysis of multivariate failure time data
• Analyzing Recurrent Event Data With Informative Censoring
• Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
• Nonparametric Analysis of Recurrent Events and Death
• Some Simple Robust Methods for the Analysis of Recurrent Events
• Adaptive Rejection Sampling for Gibbs Sampling

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