An Exponential Model Used for optimal Threshold selection on ROC Curues

Medical Decision Making

Volumn 8, Issue 2, 1988, Pages 120-131

  England, William L ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

computer simulation; decision theory; optimization; receiver operating characteristic (ROC) curve

Indexed keywords

COMPUTER ANALYSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; CURVE FITTING; DECISION MAKING; DIAGNOSIS; HUMAN; MATHEMATICAL MODEL; MAXIMUM LIKELIHOOD METHOD; METHODOLOGY; NEUROLOGY; NONBIOLOGICAL MODEL; RECEIVER OPERATING CHARACTERISTIC; SHORT SURVEY; THEORETICAL STUDY;

COMPUTER SIMULATION; COSTS AND COST ANALYSIS; DECISION THEORY; HUMAN; MASS SCREENING; MATHEMATICS; MODELS, THEORETICAL; NEUROLOGIC EXAMINATION; ROC CURVE; SUPPORT, NON-U.S. GOV'T; TOMOGRAPHY, X-RAY COMPUTED;

EID: 0023926197     PISSN: 0272989X     EISSN: 1552681X     Source Type: Journal    
DOI: 10.1177/0272989X8800800208     Document Type: Article

References (12)

1. Cheney W., Kincaid D.: Numerical Mathematics and Computing. Monterey, CA, Brooks/Cole Publishing Co., 1980
2. Dorfman DD, Alf E.: Maximum likelihood estimation of parameters of signal detection theory and determination of confidence inteivals-rating-method data. J Math Psych 6: 487-496, 1969
3. Egan JP: Signal Detection Theory and ROC Analysis. New York, Academic Press, 1975
4. Goodenough DJ, Metz CE, Lusted LB: Caveat on the use of the parameter d' for evaluation of observer performance. Radiology 106: 565-566, 1973
5. Goin JE: ROC curve estimation and hypothesis testing: applications to breast cancer detection. Pattern Recognition 15: 263-269, 1982
6. Goin JE, Preston DF, Gallagher JH, Wegst AV: Comparison of five digital scintigraphic display modes. Med Decis Making 2: 215-227, 1983
7. Hanley JA, McNeil BJ: The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 14329-36, 1982
8. Metz CE: Basic principles of ROC analysis. Semin Nucl Med 8: 283-298, 1978
9. Roberts SD, Klein RW: Simulation of logical networks (SLN) Simulation Nov 1984
10. Schonemann PH, Tucker LR: A maximum likelihood solution for the method of successive intervals allowing for unequal stimulus dispersions. Psychometrica 32: 403-417, 1967
11. Swets JA, Picket RM: Evaluation of Diagnostic Systems New York, Academic Press, 1982
12. Taub H., Schilling DL: Principles of Communication Systems. New York, McGraw-Hill, 1971