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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: 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
Format: Artigo
Langue:Inglês
Publié: BMC 2019-05-01
Collection:BMC Medical Research Methodology
Sujets:
Quality control
Multivariate outliers
Minimum covariance determinant
Principal component analysis
Visualization
Accès en ligne:http://link.springer.com/article/10.1186/s12874-019-0737-5
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires