The regression analysis of correlated interval-censored data

DOI10.1177/1471082X0900900403OpenAlexW2127425898WikidataQ57655371 ScholiaQ57655371MaRDI QIDQ4970924

Arnošt Komárek, Emmanuel Lesaffre

Publication date: 7 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x0900900403

zbMATH Keywords

Markov chain Monte Carlointerval censoringrandom effectsaccelerated failure time modelpaired data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (6)

Computing the log concave NPMLE for interval censored data ⋮ Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas ⋮ A multiparameter regression model for interval-censored survival data ⋮ A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data ⋮ The Cox shared frailty model with log-skew-normal frailties ⋮ Oral health research: A source for innovative new statistical developments

Uses Software

• R
• CODA

Cites Work

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• Random-Effects Models for Longitudinal Data
• Bayesian computation and stochastic systems. With comments and reply.
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• An overview of methods for interval-censored data with an emphasis on applications in dentistry
• Bayesian Accelerated Failure Time Model With Multivariate Doubly Interval-Censored Data and Flexible Distributional Assumptions
• Partial likelihood
• Bayesian semi-parametric accelerated failure time model for paired doubly interval-censored data
• Tutorial on methods for interval-censored data and their implementation in R

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