Let (t_{k}) be the test outcome for the diseased ((k=1)) and nondiseased ((k=0)) subject. Show (a) (mathrm{AUC}=operatorname{Pr}left(t_{1}
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Let \(t_{k}\) be the test outcome for the diseased \((k=1)\) and nondiseased \((k=0)\) subject. Show
(a) \(\mathrm{AUC}=\operatorname{Pr}\left(t_{1} \geq t_{0}\right)\) if \(t_{k}\) is continuous;
(b) \(\mathrm{AUC}=\operatorname{Pr}\left(t_{1}>t_{0}\right)+\frac{1}{2} \operatorname{Pr}\left(t_{1}=t_{0}\right)\) if \(t_{k}\) is discrete.
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Related Book For
Applied Categorical And Count Data Analysis
ISBN: 9780367568276
2nd Edition
Authors: Wan Tang, Hua He, Xin M. Tu
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