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Penalized Ordinal Regression Methods for Predicting Stage of Cancer in High-Dimensional Covariate Spaces

The pathological description of the stage of a tumor is an important clinical designation and is considered, like many other forms of biomedical data, an ordinal outcome. Currently, statistical methods for predicting an ordinal outcome using clinical, demographic, and high-dimensional correlated fea...

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Bibliografische gegevens
Gepubliceerd in:Cancer Inform
Hoofdauteurs: Gentry, Amanda Elswick, Jackson-Cook, Colleen K, Lyon, Debra E, Archer, Kellie J
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Libertas Academica 2015
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4447150/
https://ncbi.nlm.nih.gov/pubmed/26052223
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4137/CIN.S17277
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