A measure of the impact of CV incompleteness on prediction error estimation with application to PCA and normalization

BACKGROUND: In applications of supervised statistical learning in the biomedical field it is necessary to assess the prediction error of the respective prediction rules. Often, data preparation steps are performed on the dataset—in its entirety—before training/test set based prediction error estimat...

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Detalles Bibliográficos
Autores principales: Hornung, Roman, Bernau, Christoph, Truntzer, Caroline, Wilson, Rory, Stadler, Thomas, Boulesteix, Anne-Laure
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634762/
https://www.ncbi.nlm.nih.gov/pubmed/26537575
http://dx.doi.org/10.1186/s12874-015-0088-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634762/
https://www.ncbi.nlm.nih.gov/pubmed/26537575
http://dx.doi.org/10.1186/s12874-015-0088-9

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