Comparison of Ordinal Response Modeling Methods like Decision Trees, Ordinal Forest and L1 Penalized Continuation Ratio Regression in High Dimensional Data
Background: Response variables in most medical and health-related research have an ordinal nature. Conventional modeling methods assume predictor variables to be independent, and consider a large number of samples (n) compared to the number of covariates (p). Therefore, it is not possible to use con...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN FA |
| Publicado: |
Bushehr University of Medical Sciences
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/97dc132614874af190a02b892c7f7d96 |
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