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Clinical Epidemiology Volume 13, 2021 - Issue
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Original Research

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

Julie Barberio1 Rollins School of Public Health, Emory University, Atlanta, GA, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-8678-7339View further author information
ORCID Icon,
Thomas P Ahern2 The Robert Larner College of Medicine, University of Vermont, Burlington, VT, USAView further author information
,
Richard F MacLehose3 University of Minnesota, Minneapolis, MN, USAView further author information
,
Lindsay J Collin1 Rollins School of Public Health, Emory University, Atlanta, GA, USAView further author information
,
Deirdre P Cronin-Fenton4 Aarhus University Hospital, Aarhus, DenmarkORCID Iconhttps://orcid.org/0000-0001-9738-2284View further author information
ORCID Icon,
Per Damkier5 Odense University Hospital, Odense, DenmarkORCID Iconhttps://orcid.org/0000-0003-0591-7187View further author information
ORCID Icon,
Henrik Toft Sørensen4 Aarhus University Hospital, Aarhus, DenmarkORCID Iconhttps://orcid.org/0000-0003-4299-7040View further author information
ORCID Icon &
Timothy L Lash1 Rollins School of Public Health, Emory University, Atlanta, GA, USAORCID Iconhttps://orcid.org/0000-0002-5240-5195View further author information
ORCID Icon show all
Pages 627-635 | Published online: 27 Jul 2021

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