Clinical Epidemiology
Volume 13, 2021 - Issue
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]
https://orcid.org/0000-0002-8678-7339View further author information
https://orcid.org/0000-0002-8678-7339View further author information, , , , Deirdre P Cronin-Fenton4 Aarhus University Hospital, Aarhus, Denmarkhttps://orcid.org/0000-0001-9738-2284View further author information
https://orcid.org/0000-0001-9738-2284View further author information, Per Damkier5 Odense University Hospital, Odense, Denmarkhttps://orcid.org/0000-0003-0591-7187View further author information
https://orcid.org/0000-0003-0591-7187View further author information, Henrik Toft Sørensen4 Aarhus University Hospital, Aarhus, Denmarkhttps://orcid.org/0000-0003-4299-7040View further author information
https://orcid.org/0000-0003-4299-7040View further author information & Timothy L Lash1 Rollins School of Public Health, Emory University, Atlanta, GA, USAhttps://orcid.org/0000-0002-5240-5195View further author information
https://orcid.org/0000-0002-5240-5195View further author information show all