Estimation of SARS-CoV-2 Seroprevalence in Central North Carolina: Accounting for Outcome Misclassification in Complex Sample Designs

Vias, N. P., Cassidy, C. A., Edwards, J. K., Xiong, K., Beatty Parker, C., Aiello, A. E., Boyce, R. M., & Shook-Sa, B. E. (2023). Estimation of SARS-CoV-2 Seroprevalence in Central North Carolina: Accounting for Outcome Misclassification in Complex Sample Designs. Epidemiology, 34(5), 721–731. https://doi.org/10.1097/ede.0000000000001625
Authors:
Nishma P Vias
Caitlin A Cassidy
Jessie K Edwards
Khou Xiong
Cherese Beatty Parker
Allison E Aiello
Ross M Boyce
Bonnie E Shook-Sa
Affiliated Authors:
Cherese Beatty Parker
Allison E Aiello
Columbia Affiliation:
Subjects:
SARS-CoV-2 (MeSH)
COVID-19 (MeSH)
Author Keywords:
covid-19
measurement error
misclassification
survey sampling
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Publication Type:
Article
Unique ID:
10.1097/ede.0000000000001625
PMID:
37527450
DOI:
10.1097/ede.0000000000001625
Journal:
Epidemiology
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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Record Created: