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Joint model with latent state for longitudinal and multistate data

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Publication:3165545
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DOI10.1093/BIOSTATISTICS/KXR003zbMath1314.62237OpenAlexW2102077252WikidataQ33849616 ScholiaQ33849616MaRDI QIDQ3165545

Jean-François Dartigues, Hélène Jacqmin-Gadda, E. Dantan, Pierre Joly

Publication date: 29 October 2012

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxr003


zbMATH Keywords

survival analysisinformative censoringlongitudinal data analysislatent statecognitive aging


Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)


Related Items (5)

Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma ⋮ Expanded renal transplantation: a competing risk model approach ⋮ Dealing with death when studying disease or physiological marker: the stochastic system approach to causality ⋮ Hidden three-state survival model for bivariate longitudinal count data ⋮ Two-stage joint model for multivariate longitudinal and multistate processes, with application to renal transplantation data


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  • PHMPL






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