Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation...
Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study
About this item
Full title
Author / Creator
Rowley, Elizabeth AK , Mitchell, Patrick K , Yang, Duck-Hye , Lewis, Ned , Dixon, Brian E , Vazquez-Benitez, Gabriela , Fadel, William F , Essien, Inih J , Naleway, Allison L , Stenehjem, Edward , Ong, Toan C , Gaglani, Manjusha , Natarajan, Karthik , Embi, Peter , Wiegand, Ryan E , Link-Gelles, Ruth , Tenforde, Mark W and Fireman, Bruce
Publisher
Canada: JMIR Publications
Journal title
Language
English
Formats
Publication information
Publisher
Canada: JMIR Publications
Subjects
More information
Scope and Contents
Contents
Real-world COVID-19 vaccine effectiveness (VE) studies are investigating exposures of increasing complexity accounting for time since vaccination. These studies require methods that adjust for the confounding that arises when morbidities and demographics are associated with vaccination and the risk of outcome events. Methods based on propensity sco...
Alternative Titles
Full title
Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study
Authors, Artists and Contributors
Author / Creator
Mitchell, Patrick K
Yang, Duck-Hye
Lewis, Ned
Dixon, Brian E
Vazquez-Benitez, Gabriela
Fadel, William F
Essien, Inih J
Naleway, Allison L
Stenehjem, Edward
Ong, Toan C
Gaglani, Manjusha
Natarajan, Karthik
Embi, Peter
Wiegand, Ryan E
Link-Gelles, Ruth
Tenforde, Mark W
Fireman, Bruce
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_8ebae8d1856b4de58132a7b92afe85e1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8ebae8d1856b4de58132a7b92afe85e1
Other Identifiers
ISSN
2561-326X
E-ISSN
2561-326X
DOI
10.2196/58981
