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Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimates.
Schuster, Noah A; Rijnhart, Judith J M; Bosman, Lisa C; Twisk, Jos W R; Klausch, Thomas; Heymans, Martijn W.
Afiliação
  • Schuster NA; Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands. n.schuster@amsterdamumc.nl.
  • Rijnhart JJM; College of Public Health, University of South Florida, Tampa, FL, USA.
  • Bosman LC; Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands.
  • Twisk JWR; Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands.
  • Klausch T; Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands.
  • Heymans MW; Department of Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan, 1117, Amsterdam, The Netherlands.
BMC Med Res Methodol ; 23(1): 11, 2023 01 12.
Article em En | MEDLINE | ID: mdl-36635655
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Confusão Epidemiológicos Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Confusão Epidemiológicos Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article