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Use of Race and Ethnicity in Epidemiologic Research: Concepts, Methodological Issues, and Suggestions for Research
Abstract
Scarlett S. Lin, Jennifer L. Kelsey; Use of Race and Ethnicity in Epidemiologic Research: Concepts, Methodological Issues, and Suggestions for Research, Epidemi
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“Epidemiological and public health researchers have increasingly shifted their practices towards the study of social determinants of health, and in particular, the multiple ways racism affects health outcomes [41, 61, 71, 117, 119, 120].”
From Towards a critical race methodology in algorithmic fairness (2020) · cites this paper as [71]
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Metadata
- Authors
- Lin, S. S., & Kelsey, J. L.
- Affiliations
- Cancer Prevention Institute of California (US)
- Stanford Medicine (US)
- Corresponding author
- Lin, S. S.
- ORCID
- Kelsey, J. L.
- Venue
- Epidemiologic Reviews
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-01-01
- Volume
- 22
- Issue
- 2
- Pages
- 187-202
- ISSN
- 0193-936X (ISSN-L)
- 1478-6729
- OpenAlex
- W2034993403
- Cited by
- 237
- References
- 162
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 4 · 2023: 17 · 2022: 15 · 2021: 14 · 2020: 9 · 2019: 7 · 2018: 14 · 2017: 5 · 2016: 7 · 2015: 12 · 2014: 9 · 2013: 10 · 2012: 11
- FWCI
- 6.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Epidemiologic Reviews (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (T32CA066521, 1T32CA66521)
- Topics
- Social Sciences › Anthropology › Race, Genetics, and Society
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
- Keywords
- race, ethnicity, racial and ethnic classification, racial disparities, methodological issues, racial and ethnic categories, health disparities research
- MeSH terms
- Ethnicity, Humans, Public Health, Social Class, United States, Epidemiologic Research Design, Human Genome Project, Cultural Diversity, Racial Groups
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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