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The Evolution of Selection Bias in the Recent Epidemiologic Literature-A Selective Overview.
Lu, Haidong; Howe, Chanelle J; Zivich, Paul N; Gonsalves, Gregg S; Westreich, Daniel.
Afiliação
  • Lu H; Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Howe CJ; Program in Addiction Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
  • Zivich PN; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, USA.
  • Gonsalves GS; Center for Epidemiologic Research, Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA.
  • Westreich D; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill North Carolina, USA.
Am J Epidemiol ; 2024 Aug 12.
Article em En | MEDLINE | ID: mdl-39136207
ABSTRACT
Selection bias has long been central in methodological discussions across epidemiology and other fields. In epidemiology, the concept of selection bias has been continually evolving over time. In this issue of the Journal, Mathur and Shpitser (Am J Epidemiol. XXXX;XXX(XX)XXXX-XXXX) present simple graphical rules for using a Single World Intervention Graph (SWIG) to assess the presence of selection bias when estimating treatment effects in both the general population and a selected sample. Notably, the authors examine the setting in which the treatment affects selection, an issue not well-addressed in the existing literature on selection bias. To place the work by Mathur and Shpitser in context, we review the evolution of the concept of selection bias in epidemiology, with a primary focus on the developments in the last 20-30 years since the introduction of causal directed acyclic graphs (DAGs) to epidemiologic research.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article