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Bayesian variable selection for high dimensional predictors and self-reported outcomes
BACKGROUND: The onset of silent diseases such as type 2 diabetes is often registered through self-report in large prospective cohorts. Self-reported outcomes are cost-effective; however, they are subject to error. Diagnosis of silent events may also occur through the use of imperfect laboratory-base...
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| Publié dans: | BMC Med Inform Decis Mak |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7487595/ https://ncbi.nlm.nih.gov/pubmed/32894123 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-020-01223-w |
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