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Blood pressure and the risk of chronic kidney disease progression using multistate marginal structural models in the CRIC Study.
Stephens-Shields, Alisa J; Spieker, Andrew J; Anderson, Amanda; Drawz, Paul; Fischer, Michael; Sozio, Stephen M; Feldman, Harold; Joffe, Marshall; Yang, Wei; Greene, Tom.
Afiliação
  • Stephens-Shields AJ; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, U.S.A.
  • Spieker AJ; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, U.S.A.
  • Anderson A; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, U.S.A.
  • Drawz P; Department of Medicine, University of Minnesota, Minneapolis, U.S.A.
  • Fischer M; Department of Medicine, University of Illinois College of Medicine, Chicago, U.S.A.
  • Sozio SM; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, U.S.A.
  • Feldman H; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, U.S.A.
  • Joffe M; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, U.S.A.
  • Yang W; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, U.S.A.
  • Greene T; Department of Population Health Sciences, University of Utah School of Medicine, Salt Lake City, U.S.A.
Stat Med ; 36(26): 4167-4181, 2017 Nov 20.
Article em En | MEDLINE | ID: mdl-28791722
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudos de Coortes / Modelos Estatísticos / Progressão da Doença Tipo de estudo: Etiology_studies / Health_economic_evaluation / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estudos de Coortes / Modelos Estatísticos / Progressão da Doença Tipo de estudo: Etiology_studies / Health_economic_evaluation / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos