Application of Receiver Operating Characteristics (ROC) Curves for Clinical Diagnostic Tests
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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) |
1 |
Form of empirical ROCs in discrimination and diagnostic tasks: Implications for theory and measurement of performance
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DOI ScienceOn |
2 |
The meaning and use of the area under an ROC curve
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DOI |
3 |
Maximum-likelihood estimation of parameters of signal detection theory- a direct solution
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DOI ScienceOn |
4 |
Assessment of diagnostic technologies
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DOI |
5 |
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6 |
Diagnosis of MRSA with neural networks and logistic regression approach
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DOI ScienceOn |
7 |
Measuring the accuracy of diagnostic systems
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DOI |
8 |
Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests
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DOI |
9 |
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10 |
Primer on cetain elements of medical decision making
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DOI ScienceOn |
11 |
Basic principles of ROC analysis
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DOI ScienceOn |
12 |
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13 |
Methods for estimating area under receiver-operating characteristic curves: illustration with somatic-cell scores in subclinical intramammary infections
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DOI |
14 |
Environmental contamination due to methicillin-resistant Staphylococcus aureus
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DOI ScienceOn |
15 |
Maximum-likelihood estimation of paramerters of signal-detection theory and determination of confidence intervals-rating-method data
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DOI |
16 |
A modified ROC analysis for the selection of cut-off values and the definition of intermediate results of serodiagnostic tests
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DOI ScienceOn |
17 |
The differential positive rate, a derivative of receiver operating characteristic curves useful in comparing tests and determining decision levels
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