A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction

DOI10.1111/BIOM.13202zbMath1468.62411OpenAlexW2996034879WikidataQ92167494 ScholiaQ92167494MaRDI QIDQ4998676

Richard Tawiah, Shu-Kay Ng, Geoffrey J. McLachlan

Publication date: 9 July 2021

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11343/275242

zbMATH Keywords

EM algorithminformative censoringmixture modeljoint modelrandom effectterminal eventbivariate frailtycure proportion

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Reliability and life testing (62N05)

Related Items (3)

Mixture cure model methodology in survival analysis: some recent results for the one-sample case ⋮ Copula-frailty models for recurrent event data based on Monte Carlo EM algorithm ⋮ A review of h-likelihood for survival analysis

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