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Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods.
Ju, Cheng; Combs, Mary; Lendle, Samuel D; Franklin, Jessica M; Wyss, Richard; Schneeweiss, Sebastian; van der Laan, Mark J.
Afiliación
  • Ju C; Division of Biostatistics, University of California, Berkeley.
  • Combs M; Division of Biostatistics, University of California, Berkeley.
  • Lendle SD; Division of Biostatistics, University of California, Berkeley.
  • Franklin JM; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Womens Hospital and Harvard Medical School.
  • Wyss R; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Womens Hospital and Harvard Medical School.
  • Schneeweiss S; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Womens Hospital and Harvard Medical School.
  • van der Laan MJ; Division of Biostatistics, University of California, Berkeley.
J Appl Stat ; 46(12): 2216-2236, 2019.
Article en En | MEDLINE | ID: mdl-32843815
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Appl Stat Año: 2019 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Appl Stat Año: 2019 Tipo del documento: Article