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Outlier Detection in Growth Data: Beyond Biologically Implausible Values
OBJECTIVES: Eliminating anthropometry measurement error and employing outlier and biological implausible values (BIV) detection methods adapted to longitudinal measurements is important for the study of growth. This work aimed to review and assess the accuracy of the available BIV and outlier detect...
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| Pubblicato in: | Curr Dev Nutr |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7258692/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/cdn/nzaa056_021 |
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