High-Dimensional Additive Hazards Regression for Oral Squamous Cell Carcinoma Using Microarray Data: A Comparative Study

<table>Model comparison using prediction error curves. Clinical model used age, histology, and podoplanin and deltaNp63 expression as predictors. The SICA, SCAD, and Lasso used selected microarray data as well as age, histology, and podoplanin and deltaNp63 expression as predictors.</table>

BioMed Research International

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Figure 2: High-Dimensional Additive Hazards Regression for Oral Squamous Cell Carcinoma Using Microarray Data: A Comparative Study 