The utility of multivariate outlier detection techniques for data quality evaluation in large studies: an application within the ONDRI project.
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| Title: | The utility of multivariate outlier detection techniques for data quality evaluation in large studies: an application within the ONDRI project. |
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| Authors: | Sunderland, Kelly M.1 ksunderland@research.baycrest.org, Beaton, Derek1 dbeaton@research.baycrest.org, Fraser, Julia2 j3fraser@uwaterloo.ca, Kwan, Donna3 donna.kwan@queensu.ca, McLaughlin, Paula M.3 paula.mclaughlin@queensu.ca, Montero-Odasso, Manuel3,4,5 manuel.monteroodasso@sjhc.london.on.ca, Peltsch, Alicia J.3 aliciap@fnti.net, Pieruccini-Faria, Frederico3,4,5 frederico.faria@sjhc.london.on.ca, Sahlas, Demetrios J.6 sahlas@hhsc.ca, Swartz, Richard H.7,8 rick.swartz@sunnybrook.ca, Strother, Stephen C.1,9 sstrother@research.baycrest.org, Binns, Malcolm A.1,10 mbinns@research.baycrest.org, ONDRI Investigators (CORPORATE AUTHOR) |
| Source: | BMC Medical Research Methodology. 5/15/2019, Vol. 19 Issue 1, pN.PAG-N.PAG. 1p. 1 Diagram, 3 Charts, 5 Graphs. |
| Database: | Academic Search Ultimate |
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| ISSN: | 14712288 |
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| DOI: | 10.1186/s12874-019-0737-5 |
