A joint modelling approach for clustered recurrent events and death events

DOI10.1080/02664763.2012.735225OpenAlexW2030598628MaRDI QIDQ5128895

Tao Wang, Sung-Kiang Chuang, Hongsheng Dai, Yanchun Bao

Publication date: 26 October 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2012.735225

zbMATH Keywords

Bayesian analysiscensoringrecurrent eventsjoint modellingclustered events

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Cox's regression model for counting processes: A large sample study
• The statistical analysis of recurrent events.
• Bayesian Approaches to Joint Cure-Rate and Longitudinal Models with Applications to Cancer Vaccine Trials
• Shared Frailty Models for Recurrent Events and a Terminal Event
• Semiparametric Analysis for Recurrent Event Data with Time-Dependent Covariates and Informative Censoring
• Multivariate Generalizations of the Proportional Hazards Model
• On the regression analysis of multivariate failure time data
• Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
• Nonparametric Analysis of Recurrent Events and Death
• Bayesian Measures of Model Complexity and Fit
• Adaptive Rejection Sampling for Gibbs Sampling
• A Joint Frailty Model for Survival and Gap Times Between Recurrent Events
• Analysis of clustered recurrent event data with application to hospitalization rates among renal failure patients
• Joint modelling of longitudinal measurements and event time data

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