Regular Article“Proper” Binormal ROC Curves: Theory and Maximum-Likelihood Estimation☆
References (31)
- et al.
Maximum likelihood estimation of parameters of signal detection theory and determination of confidence intervals—Rating method data
Journal of Mathematical Psychology
(1969) - et al.
Degeneracy and discrete receiver operating characteristic rating data
Academic Radiology
(1995) - et al.
Some aspects of ROC curve-fitting: Normal and logistic models
Journal of Mathematical Psychology
(1972) The theory of signal detectability: ROC curves and their character
(1966)Algorithms for minimization without derivatives
(1973)- et al.
Quasi-Newton methods, motivation and theory
SIAM Review
(1977) RSCORE II
Evaluation of diagnostic systems: Methods from signal detection theory
(1982)Signal detection theory and ROC analysis
(1975)- et al.
The meaning and use of the area under a receiver operating characteristic (ROC) curve
Radiology
(1982) The robustness of the binormal assumptions used in fitting ROC curves
Medical Decision Making
(1988)
ICRU Report 54
(1996)
The advanced theory of statistics
(1979)
Analyzing a portion of the ROC curve
Medical Decision Making
(1989)
ROC methodology in radiologic imaging
Investigative Radiology
(1986)
Statistical analysis of ROC data in evaluating diagnostic performance
Cited by (272)
Comparison of the binormal and Lehman receiver operating characteristic curves
2024, Communications in Statistics: Simulation and ComputationIdeal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks
2023, IEEE Transactions on Medical Imaging
- ☆
J. A. SwetsR. M. Pickett
- f1
The authors are grateful to Donald D. Dorfman (The University of Iowa) for stimulating discussions; to John A. Swets (BBN Technologies, Inc.) for pointing out Theodore G. Birdsall's pioneering work on proper binormal ROC curves; and to Benjamin A. Herman (The University of Chicago) for porting PROPROC to the Windows 95 and Macintosh operating systems. This work was supported by Grant DE FG02-94ER6186 from the U. S. Department of Energy. Reprint requests should be addressed to Charles E. Metz, Ph.D., Department of Radiology, MC 2026, The University of Chicago Medical Center, 5841 South Maryland Avenue, Chicago, IL 60637-1470.
Copyright © 1999 Academic Press. All rights reserved.