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Application of Receiver Operating Characteristics (ROC) Curves for Clinical Diagnostic Tests  

Pak, Son-Il (Department of Veterinary Medicine, Kangwon National University)
Koo, Hee-Seung (College of National Resources, Colorado State University)
Hwang, Cheol-Yong (College of Veterinary Medicine, Seoul National University)
Youn, Hwa-Young (College of Veterinary Medicine, Seoul National University)
Publication Information
Journal of Veterinary Clinics / v.19, no.3, 2002 , pp. 312-315 More about this Journal
Abstract
Diagnostic tests often require the determination of cut-off values that discriminate uninfected from infected individuals. The receiver operating characteristic (ROC) curve has been frequently used to attain this purpose and gives a representation of diagnostic accuracy (sensitivity and specificity) of a prediction model when varying the cut-point of a decision rule on a whole spectrum. We have written and tested a visual basic application program in EXCEL for maximum likelihood estimation of a binormal ROC curve, which also computes univariate statistics of a diagnostic test employed. Examples applying for computed tomographic images in radiology and methicillin-resistant Staphylococcus aureus research are given to illustrate this approach. This stand-alone module is available from the first author on request.
Keywords
Receiver operating characteristic (ROC) curve; Clinical Diagnosis; Application; ROC;
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  • Reference
1 Form of empirical ROCs in discrimination and diagnostic tasks: Implications for theory and measurement of performance /
[ Swets JA ] / Psychol Bullet   DOI   ScienceOn
2 The meaning and use of the area under an ROC curve /
[ Hanley JA;McNeil BJ ] / Radiology   DOI
3 Maximum-likelihood estimation of parameters of signal detection theory- a direct solution /
[ Dorfman, DD ] / Psychometrika   DOI   ScienceOn
4 Assessment of diagnostic technologies /
[ Swets JA;Pickett RM;Whitehead SF;Getty DJ;Schnur JA;Swets JB;Freeman BA ] / Science   DOI
5 /
[ Metz CE;Shen J-H;Wang P-L;Kronman HB ] / ROCFIT
6 Diagnosis of MRSA with neural networks and logistic regression approach /
[ Shang JS;Lin YE;Goetz AM ] / Health Care Man Sci   DOI   ScienceOn
7 Measuring the accuracy of diagnostic systems /
[ Swets JA ] / Science   DOI
8 Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests /
[ Greiner M;Pfeiffer D;Smith RD ] / Prev Vet Med   DOI
9 /
[ Kraemer HC ] / Evaluating medical tests, objective and quantitative guidelines
10 Primer on cetain elements of medical decision making /
[ McNeil BJ;Keeler E;Adelstein JS ] / N Engl J Med   DOI   ScienceOn
11 Basic principles of ROC analysis /
[ Metz CE ] / Semin Nucl Med   DOI   ScienceOn
12 /
[ Weinstein MC;Fineberg HV ] / Clinical decision analysis
13 Methods for estimating area under receiver-operating characteristic curves: illustration with somatic-cell scores in subclinical intramammary infections /
[ Detilleux J;Arendt J;Lomba F;Leory P ] / Prev Vet Med   DOI
14 Environmental contamination due to methicillin-resistant Staphylococcus aureus /
[ Boyce JM;Potter-Bynoe G;Cherevert C;King T ] / Infect Control Hosp Epidemiol   DOI   ScienceOn
15 Maximum-likelihood estimation of paramerters of signal-detection theory and determination of confidence intervals-rating-method data /
[ Dorfman, DD;Alf E ] / J Math Psychol   DOI
16 A modified ROC analysis for the selection of cut-off values and the definition of intermediate results of serodiagnostic tests /
[ Creiner M;Sohr D;Gobel P ] / J Immunol Methods   DOI   ScienceOn
17 The differential positive rate, a derivative of receiver operating characteristic curves useful in comparing tests and determining decision levels /
[ Ward CD ] / Clin Chem