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R. F. Wagner, S. V. Beiden, and C. E. Metz, Continuous vs. categorical data for ROC analysis: some quantitative considerations., Acad. Radiol. 8, 328-334 (2001). 10.1016/S1076-6332(03)80502-0 (Pubitemid 32666455)
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An evaluation of clinicians' subjective prior probability estimates
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13
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84872755038
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Here, a normalized histogram is the standard histogram divided by the product of the bin size and the total number of values binned. The normalized histogram estimates the density function
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Here, a normalized histogram is the standard histogram divided by the product of the bin size and the total number of values binned. The normalized histogram estimates the density function.
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14
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84872748907
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The Spearman rank correlation coefficient Ref. (Spear) is one way to measure case-by-case variation in the rank order of the output of two classifiers. In particular, Spearman's coefficient can be used to quantify how well an unspecified monotonic function can describe the relationshibetween two variables
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The Spearman rank correlation coefficient Ref. (Spear) is one way to measure case-by-case variation in the rank order of the output of two classifiers. In particular, Spearman's coefficient can be used to quantify how well an unspecified monotonic function can describe the relationship between two variables.
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15
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0000299560
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Rank and product-moment correlation
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55349120134
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Prevalence scaling: Applications to an intelligent workstation for the diagnosis of breast cancer
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0032525017
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Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data
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C. E. Metz, B. A. Herman, and J.-H. Shen, Maximum-likelihood estimation of ROC curves from continuously-distributed data., Stat. Med. 17, 1033 (1998). 10.1002/(SICI)1097-0258(19980515)17:9<1033::AID-SIM784>3.0.CO;2-Z (Pubitemid 28203832)
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19
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0002822137
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'Proper' binormal ROC curves: Theory and maximum-likelihood estimation
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10.1006/jmps.1998.1218
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C. E. Metz and X. Pan, 'Proper' binormal ROC curves: Theory and maximum-likelihood estimation., J. Math. Psychol. 43, 1-33 (1999). 10.1006/jmps.1998.1218
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0002167042
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A new approach for testing the significance of differences between ROC curves measured from correlated data
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in, edited by F. Deconinck (Nihoff, The Hague)
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C. E. Metz, P-L Wang, and H. B. Kronman, A new approach for testing the significance of differences between ROC curves measured from correlated data. in Information Processing in Medical Imaging, edited by, F. Deconinck, (Nihoff, The Hague, 1984), pp. 432-445.
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Metz, C.E.1
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22
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85027241266
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See supplementary material at E-MPHYA6-39-004205 for Appendices 1-3
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See supplementary material at http://dx.doi.org/10.1118/1.3700168 E-MPHYA6-39-004205 for Appendices 1-3.
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23
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85027218806
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On December 29, 2009, the Breast Cancer Surveillance Consortium reported on its website that 11,200 out of 273,601 diagnostic mammography examinations performed between 1996 and 2007 received a tissue diagnosis of ductal carcinoma in situ or invasive cancer within 30 days prior to or 1 year following the examination
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On December 29, 2009, the Breast Cancer Surveillance Consortium reported on its website that 11,200 out of 273,601 diagnostic mammography examinations performed between 1996 and 2007 received a tissue diagnosis of ductal carcinoma in situ or invasive cancer within 30 days prior to or 1 year following the examination.
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24
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84861598608
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Web site of the Breast Cancer Surveillance Consortium. http://breastscreening.cancer.gov/data/performance/diagnostic. Accessed December 29
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Web site of the Breast Cancer Surveillance Consortium. http://breastscreening.cancer.gov/data/performance/diagnostic. Accessed December 29, 2009.
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(2009)
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25
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85092679573
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pop depends on the application of interest. Possible choices include the prevalence in a relevant clinical population, the prevalence in the database used to train the computer classifier, or the prevalence in the database used in a particular observer study
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pop depends on the application of interest. Possible choices include the prevalence in a relevant clinical population, the prevalence in the database used to train the computer classifier, or the prevalence in the database used in a particular observer study.
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27
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85027218025
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In the utility function referenced here, the individual utilities of correctly and incorrectly performing a biopsy are linearly related to the total utility
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In the utility function referenced here, the individual utilities of correctly and incorrectly performing a biopsy are linearly related to the total utility.
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28
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0018079655
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Basic principles of ROC analysis
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C. E. Metz, Basic principles of ROC analysis., Semin. Nucl. Med. 8, 283-298 (1978). 10.1016/S0001-2998(78)80014-2 (Pubitemid 9075026)
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84872754515
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PROPROC. Website of Kurt Rossman Laboratories, Department of Radiology, University of Chicago: http://rocweb.bsd.uchicago.edu/MetzROC
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PROPROC. Website of Kurt Rossman Laboratories, Department of Radiology, University of Chicago: http://rocweb.bsd.uchicago.edu/MetzROC.
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31
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80055117006
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Semi-parametric estimation of the relationship between ROC operating points and the test-result scale: Application to the proper binormal model
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10.1016/j.acra.2011.08.003
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L. L. Pesce, K. Horsch, K. Drucker, and C. E. Metz, Semi-parametric estimation of the relationship between ROC operating points and the test-result scale: Application to the proper binormal model., Acad. Radiol. 18, 1537-1548 (2011). 10.1016/j.acra.2011.08.003
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Pesce, L.L.1
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