Dynamic prediction of outcome for patients with severe aortic stenosis: application of joint models for longitudinal and time-to-event data

BACKGROUND: Physicians utilize different types of information to predict patient prognosis. For example: confronted with a new patient suffering from severe aortic stenosis (AS), the cardiologist considers not only the severity of the AS but also patient characteristics, medical history, and markers...

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Detalles Bibliográficos
Autores principales: Andrinopoulou, Eleni-Rosalina, Rizopoulos, Dimitris, Geleijnse, Marcel L., Lesaffre, Emmanuel, Bogers, Ad J. J. C., Takkenberg, Johanna J. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4425918/
https://www.ncbi.nlm.nih.gov/pubmed/25943388
http://dx.doi.org/10.1186/s12872-015-0035-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4425918/
https://www.ncbi.nlm.nih.gov/pubmed/25943388
http://dx.doi.org/10.1186/s12872-015-0035-z

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