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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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Publicat a:Biometrics
Autors principals: Desmée, Solène, Mentré, France, Veyrat-Follet, Christine, Sébastien, Bernard, Guedj, Jeremie
Format: Artigo
Idioma:Inglês
Publicat: Biometric Society 2016
Matèries:
Accés en línia: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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