Determining the area under the ROC curve for a binary diagnostic test

Medical Decision Making

Volumn 20, Issue 4, 2000, Pages 468-470

  Cantor, Scott B ^a   Kattan, Michael W ^b  

^a UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

^b MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

Author keywords

Binary diagnostic test; Discriminative ability; ROC curve analysis

Indexed keywords

AREA UNDER THE CURVE; ARTICLE; CALCULATION; DIAGNOSTIC TEST; DISCRIMINANT ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL ANALYSIS;

DIAGNOSTIC TECHNIQUES AND PROCEDURES; FALSE POSITIVE REACTIONS; HUMANS; LIKELIHOOD FUNCTIONS; MALE; PROSTATE-SPECIFIC ANTIGEN; PROSTATIC NEOPLASMS; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 0033658645     PISSN: 0272989X     EISSN: None     Source Type: Journal    
DOI: 10.1177/0272989X0002000410     Document Type: Article

References (9)

1. Basic principles of ROC analysis
2. A comparison of C/B ratios from studies using receiver operating characteristic curve analysis
3. Regret graphs, diagnostic uncertainty and Youden's index
4. Prostate-specific antigen in screening, prognosis of the primary tumor and monitoring of recurrent disease
5. Sample size calculations in studies of test accuracy
6. Maximum-likelihood estimation of parameters of signal detection theory and determination of confidence intervals - Rating-method data
7. The meaning and use of the area under a receiver operating characteristic curve
8. Comparing diagnostic tests: A simple graphic using likelihood ratios