The utility of multivariate outlier detection techniques for data quality evaluation in large studies: an application within the ONDRI project

BACKGROUND: Large and complex studies are now routine, and quality assurance and quality control (QC) procedures ensure reliable results and conclusions. Standard procedures may comprise manual verification and double entry, but these labour-intensive methods often leave errors undetected. Outlier d...

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Detalhes bibliográficos
Publicado no:BMC Med Res Methodol
Main Authors: Sunderland, Kelly M., Beaton, Derek, Fraser, Julia, Kwan, Donna, McLaughlin, Paula M., Montero-Odasso, Manuel, Peltsch, Alicia J., Pieruccini-Faria, Frederico, Sahlas, Demetrios J., Swartz, Richard H., Strother, Stephen C., Binns, Malcolm A.
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2019
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6521365/
https://ncbi.nlm.nih.gov/pubmed/31092212
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-019-0737-5
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