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Scalable collaborative targeted learning for high-dimensional data.
Ju, Cheng; Gruber, Susan; Lendle, Samuel D; Chambaz, Antoine; Franklin, Jessica M; Wyss, Richard; Schneeweiss, Sebastian; van der Laan, Mark J.
Afiliação
  • Ju C; 1 University of California, Berkeley, CA, USA.
  • Gruber S; 2 Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA.
  • Lendle SD; 1 University of California, Berkeley, CA, USA.
  • Chambaz A; 1 University of California, Berkeley, CA, USA.
  • Franklin JM; 4 Modal'X, UPL, Univ Paris Nanterre, Nanterre, France.
  • Wyss R; 3 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Womens Hospital and Harvard Medical School, Boston, MA, USA.
  • Schneeweiss S; 3 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Womens Hospital and Harvard Medical School, Boston, MA, USA.
  • van der Laan MJ; 3 Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Womens Hospital and Harvard Medical School, Boston, MA, USA.
Stat Methods Med Res ; 28(2): 532-554, 2019 02.
Article em En | MEDLINE | ID: mdl-28936917
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: Stat Methods Med Res Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: Stat Methods Med Res Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos