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Roman Hornung, Christoph Bernau, Caroline Truntzer, Thomas Stadler, Anne-Laure Boulesteix Full versus incomplete cross-validation: measuring the impact of imperfect separation between training and test sets in prediction
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Document Date: 2014-04-17 15:14:55


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City

Munich / /

/

Facility

University of Munich / Statistics University / /

IndustryTerm

throughput technologies / example imaging data / statistical tools / biometrical applications / statistical learning applications / biomedical applications / low-dimensional statistical applications / /

Organization

Statistics University / Department of Medical Informatics / Biometry and Epidemiology / Department of Urology / University of Munich / Centre Hospitalo-Universitaire de Dijon / /

Person

Roman Hornung / Anne-Laure Boulesteix Full / Caroline Truntzer / Christoph Bernau / Thomas Stadler / /

Position

Corresponding author / /

ProgrammingLanguage

K / /

Technology

dom / high-throughput technologies / DNA Chip / gene expression / /

URL

http /