Evaluation of the Accuracy of Medical Tests in a Region around the Optimal Point

Academic Radiology

Volumn 19, Issue 12, 2012, Pages 1484-1490

  McClish, Donna Katzman ^a  

^a VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

Optimal threshold; Partial area; ROC curves

Indexed keywords

ARTICLE; BIOMECHANICS; BOOTSTRAPPING; DIAGNOSTIC ACCURACY; HUMAN; IMAGE ANALYSIS; INTERVERTEBRAL DISK HERNIA; LUMBAR SPINE; PELVIS RADIOGRAPHY; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SPINE RADIOGRAPHY; SPONDYLOLISTHESIS;

AREA UNDER CURVE; HUMANS; INTERVERTEBRAL DISC DISPLACEMENT; ROC CURVE; SENSITIVITY AND SPECIFICITY; SPINE; SPONDYLOLISTHESIS;

EID: 84868299920     PISSN: 10766332     EISSN: 18784046     Source Type: Journal    
DOI: 10.1016/j.acra.2012.09.004     Document Type: Article

References (26)

1. Metz C.E. Basic principles of ROC analysis. Semin Nucl Med 1978, 8:283-298.
2. Zweig M.H., Campbell G. Receiver-operating characteristic plots: a fundamental evaluation tool of clinical medicine. Clin Chem 1993, 39:561-577.
3. Greiner M., Pfieffer D., Smith R.D. Principles and practical applications of the receiver- operating characteristic analysis for diagnostic tests. Prev Vet Med 2000, 45:23-41.
4. McClish D.K. Analyzing a portion of the ROC curve. Med Decis Making 1989, 9:190-195.
5. Jiang Y., Metz C.E., Nishidawa R.M. A receiver operating characteristic partial area index for highly sensitive diagnostic tests. Radiology 1996, 201:745-750.
6. Wieand S., Gail M.H., James B.R., et al. A family of nonparametric statistics for comparing diagnostic markers with paired or unpaired data. Biometrika 1989, 76:585-592.
7. Dwyer A.J. In pursuit of a piece of the ROC. Radiology 1997, 202:621-625.
8. Thompson M.L., Zucchini W. On the statistical analysis of ROC curves. Stat Med 1989, 8:1277-1290.
9. Halpern E.J., Albert M., Krieger A.M., et al. Comparison of receiver operating characteristic curves on the basis of optimal operating points. Acad Radiol 1996, 3:245-253.
10. Jund J., Rabilloud M., Wallon M., et al. Methods to estimate the optimal threshold for normally or log-normally distributed biological tests. Med Decis Making 2005, 25:406-515.
11. Skaltsa K., Jover L., Carrasco J.L. Estimation of the diagnostic threshold accounting for decision costs and sampling uncertainty. Biometr J 2010, 52:676-697.
12. Remally A.T., Sampson M.L., DeLeo J.M., et al. Prevalence-value-accuracy plots: a new method for comparing diagnostic tests based on misclassification costs. Clin Chem 1999, 45:934-941.
13. Cantor S.B., Sun C.C., Tortolero-Luna G., et al. A comparison of C/B ratios using receiver operating characteristic curve analysis. J Clin Epidemiol 1999, 52:885-892.
14. Fluss R., Faraggi D., Reiser B. Estimation of the Youden index and its associated cutoff point. Biom J 2005, 47:458-472.
15. Schisterman E.F., Perkins N.J. Confidence intervals for the Youden index and corresponding optimal cut-point. Commun Stat Simul Comput 2007, 36:549-563.
16. Frank A, Asuncion A. UCI Machine Learning Repository. Available at: Accessed September 27, 2012. http://archive.ics.uci.edu/ml.
17. Somoza E., Mossman D. " Biological markers" and psychiatric diagnosis: risk-benefit balancing using ROC analysis. Biol Psychiatry 1991, 29:811-826.
18. Berthonnaud E., Dimnet J., Roussouly P., et al. Analysis of the sagittal balance of the spine and pelvis using shape and orientation parameters. J Spinal Disord Tech 2005, 18:40-47.
19. Somoza E., Mossman D. Comparing and optimizing diagnostic tests: an information-theoretical approach. Med Decis Making 1992, 12:179-188.
20. Faraggi D., Reiser B. Estimation of the area under the ROC curve. Stat Med 2002, 21:3093-3106.
21. Dodd L.E., Pepe M.S. Partial AUC estimation and regression. Biometrics 2003, 59:614-623.
22. He Y., Escobar M. Nonparametric statistical inference method for partial areas under receiver operating characteristic curves with application to genomic studies. Stat Med 2008, 27:361-376.
23. Zhang D.D., Zhou X.H., Freeman D.H., et al. A non-parametric method for the comparison of partial areas under ROC curves and its application to large health care data sets. Stat Med 2002, 21:701-715.
24. Zou K.H., Hall W.J., Shapiro D.E. Smooth non-parametric receiver operating characteristic (ROC) curves for continuous diagnostic tests. Stat Med 1997, 16:2143-2156.
25. Baker S.G. Identifying combinations of cancer markers for further study as triggers of early intervention. Biometrics 2000, 56:1082-1087.
26. Perkins N.J., Schisterman E.F. The inconsistency of " optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. Am J Epidemiol 2006, 163:670-675.