Comparison of Ordinal Response Modeling Methods like Decision Trees, Ordinal Forest and L1 Penalized Continuation Ratio Regression in High Dimensional Data
Author:
Publisher
CMV Verlag
Subject
General Medicine
Link
http://ismj.bpums.ac.ir/article-1-1515-en.pdf
Reference20 articles.
1. Chen CK. The Classification Of Cancer Stage Microarray Data. Comput Meth Prog Bio 2012; 108(3): 1070-7.
2. Archer KJ, Hou J, Zhou Q, et al. Ordinalgmifs: An R Package For Ordinal Regression In HighDimensional Data Settings. Cancer Inform 2014; 13: CIN.S20806.
3. Farhadi Z, Shahsavani D. Gene Expression Data Clustering With Random Forest Dissimilarity. Razi J Med Sci 2015; 22(136): 109-18. (Persian)
4. Safe M, Faradmal J, Mahjub H. A Comparison Between Cure Model And Recursive Partitioning: A Retrospective Cohort Study Of Iranian Female With Breast Cancer. Comput Math Methods Med 2016; 2016: 9425629.
5. Archer KJ, Williams AA. L1 Penalized Continuation Ratio Models For Ordinal Response Prediction Using High‐Dimensional Datasets. Stat Med 2012; 31(14): 1464-74.
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