A receiver operating characteristic, curve-logistic regression based variable selection method

Biomarker discovery is a challenging process. It is rare that a single marker can accurately classify an outcome. Often, classification is improved by finding a combination of markers that can better distinguish between patients with and without a condition of interest. The present study describes a novel method which can potentially function as a diagnostic algorithm to isolate a parsimonious combination of markers that has good classification properties.