Determining the area under the ROC curve for a binary diagnostic test.
The authors provide a simple calculation for the unbiased estimation of the area under the ROC curve for a binary diagnostic test or a continuously valued test result that is effectively used in a binary way. The formula described can be used to interpret the discriminative ability of a diagnostic test.
Cantor
S B
SB
The University of Texas M.D. Anderson Cancer Center, Department of Health Services Research, Houston 77030-4095, USA. sbcantor@mdanderson.org
Kattan
M W
MW
D019937:Diagnostic Techniques and Procedures / Q000592:standards / Q000706:statistics & numerical data*; D005189:False Positive Reactions; D006801:Humans; D016013:Likelihood Functions; D008297:Male; D017430:Prostate-Specific Antigen / Q000097:blood; D011471:Prostatic Neoplasms / Q000175:diagnosis; D012372:ROC Curve; D012680:Sensitivity and Specificity
D017430:Prostate-Specific Antigen