Assessing Techniques for Quantifying the Impact of Bias Due to an Unmeasured Confounder: An Applied Example.

Barberio, Julie; Ahern, Thomas P; MacLehose, Richard F; Collin, Lindsay J; Cronin-Fenton, Deirdre P; Damkier, Per; Sørensen, Henrik Toft; Lash, Timothy L

Barberio, Julie; Ahern, Thomas P; MacLehose, Richard F; Collin, Lindsay J; Cronin-Fenton, Deirdre P; Damkier, Per; Sørensen, Henrik Toft; Lash, Timothy L.

Afiliação

Barberio J; Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Ahern TP; The Robert Larner College of Medicine, University of Vermont, Burlington, VT, USA.
MacLehose RF; University of Minnesota, Minneapolis, MN, USA.
Collin LJ; Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Cronin-Fenton DP; Aarhus University Hospital, Aarhus, Denmark.
Damkier P; Odense University Hospital, Odense, Denmark.
Sørensen HT; Aarhus University Hospital, Aarhus, Denmark.
Lash TL; Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Clin Epidemiol ; 13: 627-635, 2021.

Article em En | MEDLINE | ID: mdl-34349564

Palavras-chave

bias analysis; the E-value; unmeasured confounding

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Clin Epidemiol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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