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Noncollapsibility and its role in quantifying confounding bias in logistic regression.
Schuster, Noah A; Twisk, Jos W R; Ter Riet, Gerben; Heymans, Martijn W; Rijnhart, Judith J M.
Afiliação
  • Schuster NA; Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC - Location VU University Medical Center, De Boelelaan 1117, Amsterdam, The Netherlands. n.schuster@amsterdamumc.nl.
  • Twisk JWR; Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC - Location VU University Medical Center, De Boelelaan 1117, Amsterdam, The Netherlands.
  • Ter Riet G; Center of Expertise Urban Vitality, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, The Netherlands.
  • Heymans MW; Department of Cardiology, Amsterdam Public Health Research Institute, Amsterdam UMC - Location AMC, Meibergdreef 9, Amsterdam, The Netherlands.
  • Rijnhart JJM; Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC - Location VU University Medical Center, De Boelelaan 1117, Amsterdam, The Netherlands.
BMC Med Res Methodol ; 21(1): 136, 2021 07 05.
Article em En | MEDLINE | ID: mdl-34225653
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Holanda
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMC Med Res Methodol Assunto da revista: MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Holanda