Kernel Cox partially linear regression: Building predictive models for cancer patients' survival.

Rong, Yaohua; Zhao, Sihai Dave; Zheng, Xia; Li, Yi

Rong, Yaohua; Zhao, Sihai Dave; Zheng, Xia; Li, Yi.

Afiliación

Rong Y; Faculty of Science, Beijing University of Technology, Beijing, China.
Zhao SD; Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.
Zheng X; Faculty of Science, Beijing University of Technology, Beijing, China.
Li Y; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.

Stat Med ; 43(1): 1-15, 2024 01 15.

Article en En | MEDLINE | ID: mdl-37875428

Asunto(s)

Algoritmos; Neoplasias; Humanos; Modelos Lineales; Modelos de Riesgos Proporcionales; Simulación por Computador; Neoplasias/genética

Palabras clave

Cox proportional hazards model; high-dimensional data; kernel machine; multiple myeloma; reproducing kernel Hilbert space; survival prediction

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Algoritmos / Neoplasias Límite: Humans Idioma: En Revista: Stat Med Año: 2024 Tipo del documento: Article País de afiliación: China

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