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Quasi-linear Cox proportional hazards model with cross- L(1) penalty

BACKGROUND: To accurately predict the response to treatment, we need a stable and effective risk score that can be calculated from patient characteristics. When we evaluate such risks from time-to-event data with right-censoring, Cox’s proportional hazards model is the most popular for estimating th...

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Detalles Bibliográficos
Autores principales:	Omae, Katsuhiro, Eguchi, Shinto
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336640/ https://www.ncbi.nlm.nih.gov/pubmed/32631280 http://dx.doi.org/10.1186/s12874-020-01063-2

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