Regularized parametric survival modeling to improve risk prediction models.

Hoogland, J; Debray, T P A; Crowther, M J; Riley, R D; IntHout, J; Reitsma, J B; Zwinderman, A H

Hoogland, J; Debray, T P A; Crowther, M J; Riley, R D; IntHout, J; Reitsma, J B; Zwinderman, A H.

Afiliación

Hoogland J; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Debray TPA; Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
Crowther MJ; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Riley RD; Cochrane Netherlands, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
IntHout J; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Reitsma JB; School for Medicine, Keele University, Keele, Staffordshire, UK.
Zwinderman AH; Radboud Institute for Health Sciences (RIHS), Radboud University Medical Center, Nijmegen, The Netherlands.

Biom J ; 66(1): e2200319, 2024 Jan.

Article en En | MEDLINE | ID: mdl-37775946

Asunto(s)

Modelos de Riesgos Proporcionales; Simulación por Computador; Probabilidad

Palabras clave

convex optimization; penalized maximum likelihood; prediction; regularization; survival analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos de Riesgos Proporcionales Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biom J Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos

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