Participation bias, self-selection bias, and response bias
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Cites
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
The resulting sample is not truly representative of the entire population and hence the results are not generalizable.
“The resulting sample is not truly representative of the entire population and hence the results are not generalizable [72].”
From Development of an artificial intelligence-based tailored mobile intervention for nurse burnout: single-arm trial (2024) · cites this paper as [72]
Cites
Genetic analyses identify widespread sex-differential participation bias
Pirastu, N., Cordioli, M., Nandakumar, P., Mignogna, G., Abdellaoui, A., Hollis, B., Kanai, M., Rajagopal, V. M., Parolo, P. D. B., Baya, N., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00846-7 · Cited by 251 · see citing works
Downes, M., & Carlin, J. B. (2020) · American Journal of Epidemiology · doi:10.1093/aje/kwaa053 · Cited by 25 · see citing works
Dahrouge, S., Armstrong, C. D., Hogg, W. E., Singh, J., & Liddy, C. E. (2019) · BMC Medical Research Methodology · doi:10.1186/s12874-019-0809-6 · Cited by 24 · see citing works
Gray, L., Gorman, E., White, I. R., Katikireddi, S. V., McCartney, G., Rutherford, L., & Leyland, A. H. (2019) · Statistical Methods in Medical Research · doi:10.1177/0962280219854482 · Cited by 22 · see citing works
Downes, M., & Carlin, J. B. (2019) · Biometrical Journal · doi:10.1002/bimj.201900023 · Cited by 21 · see citing works
Vermaire, J. H., van Loveren, C., Poorterman, J. H. G., et al. (2011) · Caries Research · doi:10.1159/000325742 · Cited by 19 · see citing works
Verger, P., Scronias, D., Fradier, Y., et al. (2021) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2021.1921523 · Cited by 19 · see citing works
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Cho, A., Cha, C., & Baek, G. (2024) · Journal of Medical Internet Research · doi:10.2196/54029 · Cited by 29 · see citing works
Hamlin, R. (2022) · Nutrients · doi:10.3390/nu14214649 · Cited by 6 · see citing works
- Authors
- Elston, D. M.
- Affiliations
- Medical University of South Carolina (US)
- Corresponding author
- Elston, Dirk M.
- ORCID
- Elston, Dirk M.
- Venue
- Journal of the American Academy of Dermatology
- Publisher
- Elsevier BV
- Published
- 2021-06
- ISSN
- 0190-9622 (ISSN-L)
- OpenAlex
- W3176915151
- Cited by
- 161
- References
- 7
- Citations by year
- 2026: 46 · 2025: 55 · 2024: 42 · 2023: 15 · 2022: 3
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American Academy of Dermatology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Keywords
- participation bias, nonresponse bias, self-selection bias, response bias, attrition, sample representativeness, generalizability, survey bias, clinical trials
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.
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