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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Detalles Bibliográficos
Autores principales: Gentry, Amanda Elswick, Jackson-Cook, Colleen K, Lyon, Debra E, Archer, Kellie J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2015
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4447150/
https://www.ncbi.nlm.nih.gov/pubmed/26052223
http://dx.doi.org/10.4137/CIN.S17277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4447150/
https://www.ncbi.nlm.nih.gov/pubmed/26052223
http://dx.doi.org/10.4137/CIN.S17277

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