Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study

Rowley, E. A., Mitchell, P. K., Yang, D.-H., Lewis, N., Dixon, B. E., Vazquez-Benitez, G., Fadel, W. F., Essien, I. J., Naleway, A. L., Stenehjem, E., Ong, T. C., Gaglani, M., Natarajan, K., Embi, P., Wiegand, R. E., Link-Gelles, R., Tenforde, M. W., & Fireman, B. (2025). Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study. JMIR Formative Research, 9, e58981. https://doi.org/10.2196/58981
Authors:
Elizabeth Rowley
Patrick K. Mitchell
Duck‐Hye Yang
Ned Lewis
Brian E. Dixon
Gabriela Vazquez‐Benitez
William F. Fadel
Inih J Essien
Allison L. Naleway
Edward Stenehjem
Toan C. Ong
Manjusha Gaglani
Karthik Natarajan
Peter J. Embí
Ryan E. Wiegand
Ruth Link‐Gelles
Mark W. Tenforde
Bruce Fireman
Affiliated Authors:
Karthik Natarajan
Columbia Affiliation:
Subjects:
COVID-19 (MeSH)
COVID-19 Vaccines (MeSH)
Vaccine Efficacy (MeSH)
Research Design (MeSH)
Computer Simulation (MeSH)
Methods for Causal Inference in Observational Studies (OpenAlex Topic)
Health Economics and Quality of Life Assessment (OpenAlex Topic)
Factors Affecting Vaccine Hesitancy and Acceptance (OpenAlex Topic)
Author Keywords:
disease risk score
propensity score
vaccine effectiveness
covid-19
simulation study
usefulness
comorbidity
assessment
elink
Publication Type:
Article
Unique ID:
10.2196/58981
PMID:
39869907
DOI:
10.2196/58981
Journal:
JMIR Formative Research
Publication Date:
Data Source:
OpenAlex
Source Link:
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Record Created: