<b>Assessing Representativeness of the All of Us Type 2 Diabetes </b> <b>Cohort Using BRFSS State Data</b>

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Assessing Representativeness of the All of Us Type 2 Diabetes Cohort Using BRFSS State Data

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Author(s): Lijia Zheng ¹ ^, , Chenyu Li ² , Michael M. Becich ² , Olga Kravchenko ³

Publication date (Electronic preprint): 6 August 2024

Journal: ScienceOpen Posters

Publisher: ScienceOpen

Keywords: Biostatistics, Bioinformatics, Public Health, Social Determinants of Health

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Abstract

Content

Author and article information

Journal

Title: ScienceOpen Posters

Publisher: ScienceOpen

Publication date (Electronic preprint): 6 August 2024

Affiliations

[1 ] Department of Health Policy, Stanford University School of Medicine, CA;

[2 ] Department of Biomedical Informatics, University of Pittsburgh School of Medicine, PA;

[3 ] Department of Family Medicine, University of Pittsburgh School of Medicine, PA;

Author notes

[* ]Email: lzheng21@ 123456stanford.edu .

Author information

Lijia Zheng https://orcid.org/0009-0004-6225-1531

Article

DOI: 10.14293/P2199-8442.1.SOP-.PQKBTN.v1

SO-VID: 017151ff-0e53-408c-b346-dbbbd45b5a30

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This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

History

Date received : 6 August 2024