A Bayesian joint model of recurrent events and a terminal event
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Publication:4626721
DOI10.1002/bimj.201700326zbMath1412.62166OpenAlexW2903446145WikidataQ93384815 ScholiaQ93384815MaRDI QIDQ4626721
Vernon M. Chinchilli, Zheng Li, Ming Wang
Publication date: 28 February 2019
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc6450683
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Reliability and life testing (62N05)
Related Items (10)
Predicting times to event based on vine copula models ⋮ Dynamic risk score modeling for multiple longitudinal risk factors and survival ⋮ Functional modeling of recurrent events on time‐to‐event processes ⋮ Unnamed Item ⋮ Dynamic lifetime prediction using a Weibull-based bivariate failure time model: a meta-analysis of individual-patient data ⋮ Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty-copula model ⋮ Special feature: Recent statistical methods for survival analysis ⋮ Analysis of cyclic recurrent event data with multiple event types ⋮ A copula-based Markov chain model for serially dependent event times with a dependent terminal event ⋮ Assessing the numerical integration of dynamic prediction formulas using the exact expressions under the joint frailty-copula model
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