[Methodology and progress in adjusting time-dependent covariates in clinical prediction models].

Yu, Y L; Xu, Y; Wang, J F; Zhan, S Y; Wang, S F

Yu, Y L; Xu, Y; Wang, J F; Zhan, S Y; Wang, S F.

Afiliação

Yu YL; Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Xu Y; Center for Real-world Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China.
Wang JF; Julius Center for Health Sciences and Primary Care, University of Utrecht, Utrecht 3508 TC, Netherlands.
Zhan SY; Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Wang SF; Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.

Zhonghua Liu Xing Bing Xue Za Zhi ; 44(8): 1316-1320, 2023 Aug 10.

Article em Zh | MEDLINE | ID: mdl-37661627

Assuntos

Aprendizado de Máquina; Modelos Estatísticos; Humanos; Prognóstico; Redes Neurais de Computação

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google