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[Estimation on the individual treatment effect among heterogeneous population, using the Causal Forests method].
He, W J; You, D F; Zhang, R Y; Yu, H; Chen, F; Hu, Z B; Zhao, Y.
Afiliação
  • He WJ; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
  • You DF; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Key Laboratory of Modern Toxicology, Ministry of Education, Nanjing Medical University, Nanjing 211166, China.
  • Zhang RY; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Joint Laboratory of Health and Risk Assessment, School of Public Health, Nanjing Medical University-Harvard University, Nanjing 211166, China.
  • Yu H; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Key Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing 211166, China.
  • Chen F; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Joint Laboratory of Health and Risk Assessment, School of Public Health, Nanjing Medical University-Harvard University, Nanjing 211166, China.
  • Hu ZB; Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
  • Zhao Y; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Provincial Key Laboratory of Malignant Tumor Biomarkers and Prevention, Nanjing 211166, China; Collaborative Innovation Center for Individual Medicine in Cancer, Nanjing 211166, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 40(6): 707-712, 2019 Jun 10.
Article em Zh | MEDLINE | ID: mdl-31238624
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação por Computador / Florestas / Causalidade Tipo de estudo: Prognostic_studies Limite: Humans Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China
Texto completo
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PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação por Computador / Florestas / Causalidade Tipo de estudo: Prognostic_studies Limite: Humans Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China