On use of partial area under the ROC curve for evaluation of diagnostic performance

Statistics in Medicine

Volumn 32, Issue 20, 2013, Pages 3449-3458

  Ma, Hua ^a   Bandos, Andriy I ^a   Rockette, Howard E ^a   Gur, David ^b  

^a UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Evaluation of diagnostic performance; Partial area under the Receiver Operating Characteristics; ROC; Standardized pAUC; Summary index; Variance of standardized pAUC

Indexed keywords

ARTICLE; CONTROLLED STUDY; DIAGNOSTIC TEST; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SIMULATION; STANDARDIZATION; STATISTICAL PARAMETERS;

EVALUATION OF DIAGNOSTIC PERFORMANCE; PARTIAL AREA UNDER THE RECEIVER OPERATING CHARACTERISTICS; ROC; STANDARDIZED PAUC; SUMMARY INDEX; VARIANCE OF STANDARDIZED PAUC;

AREA UNDER CURVE; COMPUTER SIMULATION; DIAGNOSTIC TESTS, ROUTINE; HUMANS; LUNG DISEASES, INTERSTITIAL; LUNG NEOPLASMS; OBSERVER VARIATION; ROC CURVE;

EID: 84882255601     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5777     Document Type: Article

References (18)

1. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982; 143:29-36.
2. Zhou XH, Obuchowski NA, McClish DK. Statistical Methods in Diagnostic Medicine, Wiley & Sons Inc: New York, 2002.
3. Pepe MS. Statistical Evaluation of Medical Tests for Classification and Prediction, Oxford University Press: Oxford, 2003.
4. McClish DK. Analyzing a portion of the ROC curve. Medical Decision Making 1989; 9: 190-195.
5. Jiang Y, Metz CE, Nishikawa RM. A receiver operating characteristic partial area index for highly sensitive diagnostic tests. Radiology 1996; 201: 745-750.
6. Dodd LE, Pepe MS. Partial AUC estimation and regression. Biometrics 2003; 59: 614-623.
7. He Y, Escobar M. Nonparametric statistical inference method for paired areas under receiver operating characteristics curves, with application to genomic studies. Statistics in Medicine 2008; 27: 5991-5308.
8. Zhang DD, Zhou XH, FreemanJr DH, Freeman JL. A non-parametric method for the comparison of partial areas under ROC curves and its application to large health care data sets. Statistics in Medicine 2002; 21: 701-715.
9. Hanley JA. Receiver operating characteristic (ROC) methodology: state of the art. Critical Reviews in Diagnostic Imaging 1989; 29: 307-335.
10. Obuchowski NA, McClish DK. Sample size determination for diagnostic accuracy studies involving binormal ROC curve indices. Statistics in Medicine 1997; 16: 1529-1542.
11. Wieand S, Gail MH, James BR, James KL. A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data. Bometrika 1989; 76(3):585-592.
12. Norman DA. A comparison of data obtained with different false-alarm rates. Psychological Review 1964; 71(3):243-246.
13. Bandos AI, Rockette HE, Gur D. Use of likelihood ratios for comparisons of binary diagnostic tests: underlying ROC curves. Medical Physics 2010; 37(11):5821-5830.
14. Zou K, Hall WJ. Semiparametric and parametric transformation models for comparing diagnostic markers with paired design. Journal of Applied Statistics 2000; 29: 803-816.
15. Egan JP. Signal Detection Theory and ROC Analysis, 1st edition, Academic Press: New York, 1975.
16. Gur D, Abrams GS, Chough DM, Ganott MA, Hakim CM, Perrin RL, Rathfon GY, Sumkin JH, Zuley ML, Bandos AI. Digital breast tomosynthesis: observer performance study. American Journal of Roentgenology 2009; 193(2):586-591.
17. Efron B, Tibshirani RJ. An Introduction to the Bootstrap, 3rd edition, Chapman & Hall: New York, 1993.
18. Arveson JN. Jackknifing U-statistics. Annals of Mathematical Statistics 1969; 40(6):2076-2100.