Joint latent class model of survival and longitudinal data: an application to CPCRA study

DOI10.1016/j.csda.2015.05.007zbMath1468.62125OpenAlexW1912771040MaRDI QIDQ1663190

Y. Aharonov

Publication date: 21 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2015.05.007

zbMATH Keywords

survival analysisGaussian quadratureproportional hazards modelfrailty modelcounting processmixture modeldependent censoringmixed effects modelinformative dropout

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (5)

Semiparametric latent-class models for multivariate longitudinal and survival data ⋮ Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach ⋮ Joint modelling of longitudinal measurements and survival times via a multivariate copula approach ⋮ Classification with minimum ambiguity under distribution heterogeneity ⋮ A Gaussian copula joint model for longitudinal and time-to-event data with random effects

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