Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patients

Joint modelling is increasingly popular for investigating the relationship between longitudinal and time-to-event data. However numerical complexity often restricts this approach to linear models for the longitudinal part. Here we use a novel development of the Stochastic-Approximation Expectation M...

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Detalhes bibliográficos
Publicado no:Biometrics
Main Authors: Desmée, Solène, Mentré, France, Veyrat-Follet, Christine, Sébastien, Bernard, Guedj, Jeremie
Formato: Artigo
Idioma:Inglês
Publicado em: Biometric Society 2016
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5654727/
https://ncbi.nlm.nih.gov/pubmed/27148956
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12537
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