StAR: a simple tool for the statistical comparison of ROC curves

作者: Ismael A Vergara , Tomás Norambuena , Evandro Ferrada , Alex W Slater , Francisco Melo

DOI: 10.1186/1471-2105-9-265

关键词: Computer scienceSimple (abstract algebra)Artificial intelligenceStar (graph theory)Machine learningBinary classificationMeasure (data warehouse)Receiver operating characteristicArea under the roc curveStatistical significance

摘要: … Even though this software provides a wide range of alternatives in ROC fitting, measurement of ROC indexes and assessment of statistical significance for those indexes, DBM MRMC is …

参考文章(29)
Charles E. Metz, Pu-Lan Wang, Helen B. Kronman, A New Approach for Testing the Significance of Differences Between ROC Curves Measured from Correlated Data Information Processing in Medical Imaging. pp. 432- 445 ,(1984) , 10.1007/978-94-009-6045-9_25
Charles E. Metz, Benjamin A. Herman, Cheryl A. Roe, Statistical Comparison of Two ROC-curve Estimates Obtained from Partially-paired Datasets Medical Decision Making. ,vol. 18, pp. 110- 121 ,(1998) , 10.1177/0272989X9801800118
Charles E. Metz, Basic principles of ROC analysis Seminars in Nuclear Medicine. ,vol. 8, pp. 283- 298 ,(1978) , 10.1016/S0001-2998(78)80014-2
J. Swets, Measuring the accuracy of diagnostic systems Science. ,vol. 240, pp. 1285- 1293 ,(1988) , 10.1126/SCIENCE.3287615
James A. Hanley, The Robustness of the "Binormal" Assumptions Used in Fitting ROC Curves Medical Decision Making. ,vol. 8, pp. 197- 203 ,(1988) , 10.1177/0272989X8800800308
Cheryl A. Roe, Charles E. Metz, Variance-component modeling in the analysis of receiver operating characteristic index estimates Academic Radiology. ,vol. 4, pp. 587- 600 ,(1997) , 10.1016/S1076-6332(97)80210-3