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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...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6521365/ https://www.ncbi.nlm.nih.gov/pubmed/31092212 http://dx.doi.org/10.1186/s12874-019-0737-5 |