The utility of multivariate outlier detection techniques for data quality evaluation in large studies: an application within the ONDRI project-Reference-Cited by-同舟云学术

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

Published:2019-05-15 Issue:1 Volume:19 Page:
ISSN:1471-2288
Container-title:BMC Medical Research Methodology
language:en
Short-container-title:BMC Med Res Methodol

Author:

Sunderland Kelly M., ,Beaton Derek,Fraser Julia,Kwan Donna,McLaughlin Paula M.,Montero-Odasso Manuel,Peltsch Alicia J.,Pieruccini-Faria Frederico,Sahlas Demetrios J.,Swartz Richard H.,Strother Stephen C.,Binns Malcolm A.

Funder

Ontario Brain Institute

Canadian Institutes of Health Research

Ontario ministry of research and innovation

Canadian Consortium in Neurodegeneration in Aging

Department of Medicine Program of Experimental Medicine Research Award

Western University

CIHR Investigator Award

Sunnybrook Research Institute

University of Toronto

Heart and Stroke Foundation of Canada

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Epidemiology

Link

http://link.springer.com/content/pdf/10.1186/s12874-019-0737-5.pdf

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