A regression approach to ROC surface, with applications to Alzheimer's disease
10.1007/s11425-012-4462-3
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sg-nus-scholar.10635-1049632023-10-29T20:09:46Z A regression approach to ROC surface, with applications to Alzheimer's disease Li, J.L. Zhou, X.H. Fine, J.P. STATISTICS & APPLIED PROBABILITY bootstrap maximum likelihood estimation rank regression receiver operating characteristic surface transformation model volume under ROC surface 10.1007/s11425-012-4462-3 Science China Mathematics 55 8 1583-1595 2014-10-28T05:09:29Z 2014-10-28T05:09:29Z 2012 Article Li, J.L., Zhou, X.H., Fine, J.P. (2012). A regression approach to ROC surface, with applications to Alzheimer's disease. Science China Mathematics 55 (8) : 1583-1595. ScholarBank@NUS Repository. https://doi.org/10.1007/s11425-012-4462-3 16747283 http://scholarbank.nus.edu.sg/handle/10635/104963 000307277600005 Scopus |
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bootstrap maximum likelihood estimation rank regression receiver operating characteristic surface transformation model volume under ROC surface |
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bootstrap maximum likelihood estimation rank regression receiver operating characteristic surface transformation model volume under ROC surface Li, J.L. Zhou, X.H. Fine, J.P. A regression approach to ROC surface, with applications to Alzheimer's disease |
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10.1007/s11425-012-4462-3 |
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STATISTICS & APPLIED PROBABILITY |
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STATISTICS & APPLIED PROBABILITY Li, J.L. Zhou, X.H. Fine, J.P. |
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Li, J.L. Zhou, X.H. Fine, J.P. |
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Li, J.L. |
title |
A regression approach to ROC surface, with applications to Alzheimer's disease |
title_short |
A regression approach to ROC surface, with applications to Alzheimer's disease |
title_full |
A regression approach to ROC surface, with applications to Alzheimer's disease |
title_fullStr |
A regression approach to ROC surface, with applications to Alzheimer's disease |
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A regression approach to ROC surface, with applications to Alzheimer's disease |
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regression approach to roc surface, with applications to alzheimer's disease |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/104963 |
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