Statistical characterization of a good biomarker in oncology.

Objective: The  aim of this article is to review and illustrate the attributes that analyze the performance of a predictive model, suchas discrimination, calibration and clinical utility.

Material And Methods: To illustrate a biomarkervalidation process, we analyzed 216 patientsrecruited in the Miguel Servet University Hospital Zaragoza, Spain. The outcome of the study was clinicallysignificant prostate cancer (Gleason ≥ 7).