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

Abstract 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. O...

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Autores principales: Kelly M. Sunderland, Derek Beaton, Julia Fraser, Donna Kwan, Paula M. McLaughlin, Manuel Montero-Odasso, Alicia J. Peltsch, Frederico Pieruccini-Faria, Demetrios J. Sahlas, Richard H. Swartz, ONDRI Investigators, Stephen C. Strother, Malcolm A. Binns
Formato: Artigo
Lenguaje:Inglês
Publicado: BMC 2019-05-01
Colección:BMC Medical Research Methodology
Materias:
Quality control
Multivariate outliers
Minimum covariance determinant
Principal component analysis
Visualization
Acceso en línea:http://link.springer.com/article/10.1186/s12874-019-0737-5
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