Addressing Selection Biases within Electronic Health Record Data for Estimation of Diabetes Prevalence among New York City Young Adults: A Cross-Sectional Study

Conderino, S., Thorpe, L. E., Divers, J., Albrecht, S. S., Farley, S. M., Lee, D. C., & Anthopolos, R. (2024). Addressing selection biases within electronic health record data for estimation of diabetes prevalence among New York City young adults: a cross-sectional study. BMJ Public Health, 2(2), e001666. https://doi.org/10.1136/bmjph-2024-001666
Authors:
Sarah Conderino
Lorna E Thorpe
Jasmin Divers
Sandra S Albrecht
Shannon M Farley
David C Lee
Rebecca Anthopolos
Affiliated Authors:
Sandra S Albrecht
Columbia Affiliation:
Author Keywords:
diabetes mellitus
electronic health records
prevalence
selection bias
surveillance
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Publication Type:
Article
Unique ID:
10.1136/bmjph-2024-001666
PMID:
39568629
DOI:
10.1136/bmjph-2024-001666
Journal:
BMJ Public Health
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

Record Created: