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...

詳細記述

保存先:
書誌詳細
主要な著者: 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
フォーマット: Artigo
言語:Inglês
出版事項: BMC 2019-05-01
シリーズ:BMC Medical Research Methodology
主題:
Quality control
Multivariate outliers
Minimum covariance determinant
Principal component analysis
Visualization
オンライン･アクセス:http://link.springer.com/article/10.1186/s12874-019-0737-5
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!

類似資料