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Learning from local to global: An efficient distributed algorithm for modeling time-to-event data.
Duan, Rui; Luo, Chongliang; Schuemie, Martijn J; Tong, Jiayi; Liang, C Jason; Chang, Howard H; Boland, Mary Regina; Bian, Jiang; Xu, Hua; Holmes, John H; Forrest, Christopher B; Morton, Sally C; Berlin, Jesse A; Moore, Jason H; Mahoney, Kevin B; Chen, Yong.
Afiliação
  • Duan R; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Luo C; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Schuemie MJ; Janssen Research and Development LLC, Titusville, New Jersey, USA.
  • Tong J; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Liang CJ; Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA.
  • Chang HH; Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA.
  • Boland MR; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Bian J; Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
  • Xu H; Cancer Informatics and eHealth Core, University of Florida Health Cancer Center, Gainesville, Florida, USA.
  • Holmes JH; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Forrest CB; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Morton SC; Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
  • Berlin JA; Department of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA.
  • Moore JH; Johnson & Johnson, Titusville, NJ, USA.
  • Mahoney KB; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Chen Y; University of Pennsylvania Health System, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
J Am Med Inform Assoc ; 27(7): 1028-1036, 2020 07 01.
Article em En | MEDLINE | ID: mdl-32626900
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Modelos de Riscos Proporcionais / Registros Eletrônicos de Saúde Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Modelos de Riscos Proporcionais / Registros Eletrônicos de Saúde Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article