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A novel approach to determine two optimal cut-points of a continuous predictor with a U-shaped relationship to hazard ratio in survival data: simulation and application.
Chen, Yimin; Huang, Jialing; He, Xianying; Gao, Yongxiang; Mahara, Gehendra; Lin, Zhuochen; Zhang, Jinxin.
Afiliação
  • Chen Y; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Huang J; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • He X; National Engineering Laboratory for Internet Medical Systems and Applications, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
  • Gao Y; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Mahara G; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Lin Z; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
  • Zhang J; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. zhjinx@mail.sysu.edu.cn.
BMC Med Res Methodol ; 19(1): 96, 2019 05 09.
Article em En | MEDLINE | ID: mdl-31072334
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação Estatística de Dados / Intervalo Livre de Doença / Carcinoma de Pequenas Células do Pulmão / Neoplasias Pulmonares Tipo de estudo: Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação Estatística de Dados / Intervalo Livre de Doença / Carcinoma de Pequenas Células do Pulmão / Neoplasias Pulmonares Tipo de estudo: Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article