The UK Biobank and selection bias

Swanson, James M

doi:10.1016/s0140-6736(12)61179-9

Cited by 130Statistical Methods in EpidemiologyGenetic Associations and EpidemiologyHealth, Environment, Cognitive Aging

The UK Biobank and selection bias

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Swanson, James M·2012·The Lancet

DOI 10.1016/s0140-6736(12)61179-9

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Selection bias is a common type of bias in large biobank studies, and has been reported as a problem, for example, in the UK Biobank.
“In particular, selection bias is a common type of bias in large biobank studies, and has been reported as a problem, for example, in the UK Biobank 158”
From Multimodal biomedical AI (2022) · cites this paper as [158]
In “The UK Biobank and selection bias,” Swanson says the UK Biobank’s low response rate left it subject to selection bias. The passage supports the UK Biobank example, but does not establish that selection bias is common across large biobank studies. (LLM, conf=0.84)
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Authors: Swanson, J. M.
Affiliations: University of California, Irvine (US)
Corresponding author: Swanson, James M
Venue: The Lancet
Publisher: Elsevier BV
Published: 2012-07
Volume: 380
Issue: 9837
Pages: 110
ISSN: 0099-5355 (ISSN-L)
0140-6736
DOI: 10.1016/s0140-6736(12)61179-9
OpenAlex: W2019221205
Cited by: 130
References: 4
Citations by year: 2026: 9 · 2025: 7 · 2024: 22 · 2023: 18 · 2022: 17 · 2021: 14 · 2020: 11 · 2019: 11 · 2018: 6 · 2017: 6 · 2016: 5 · 2015: 2 · 2013: 2
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: The Lancet (publishedVersion)
PubMed (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
Keywords: UK Biobank, selection bias, sample selection bias, response rate, comorbidities, spurious association, model misspecification, generalizability
MeSH terms: Chronic Disease, Female, Humans, Male, National Health Programs, Biological Specimen Banks, Databases as Topic, Translational Research, Biomedical

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