A contaminated binormal model for ROC data: Part II. A formal model.
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Constructing "proper" ROCs from ordinal response data using weighted power functions.Using Dual Beta Distributions to Create "Proper" ROC Curves Based on Rating Category Data.Comparison of semiparametric receiver operating characteristic models on observer data.A search model and figure of merit for observer data acquired according to the free-response paradigm.Evaluation of computer-aided detection and diagnosis systems.On the convexity of ROC curves estimated from radiological test resultsUsing the mean-to-sigma ratio as a measure of the improperness of binormal ROC curvesComparison between differently priced devices for digital capture of X-ray films using computed tomography as a gold standard: a multireader-multicase receiver operating characteristic curve study.Generalized Roe and Metz receiver operating characteristic model: analytic link between simulated decision scores and empirical AUC variances and covariances.Satisfaction of search for subtle skeletal fractures may not be induced by more serious skeletal injury.Satisfaction of search in multitrauma patients: severity of detected fractures.Evaluating computer-aided detection algorithms.Satisfaction of Search in Chest Radiography 2015.ROC curves predicted by a model of visual search.Operating characteristics predicted by models for diagnostic tasks involving lesion localization.Multiple diagnostic task performance in CT examination of the chest.Does computer-aided diagnosis for lung tumors change satisfaction of search in chest radiography?Current perspectives in medical image perceptionComparative statistical properties of expected utility and area under the ROC curve for laboratory studies of observer performance in screening mammography.A bivariate contaminated binormal model for robust fitting of proper ROC curves to a pair of correlated, possibly degenerate, ROC datasets.Trauma in CT: The Role of Severe Injury on Satisfaction of Search Revised.Estimating the relative utility of screening mammography.Equivalence of binormal likelihood-ratio and bi-chi-squared ROC curve models.Effect of fatigue on reading computed tomography examination of the multiply injured patient.The Impact of Fatigue on Satisfaction of Search in Chest Radiography.Performance evaluation of radiologists with artificial neural network for differential diagnosis of intra-axial cerebral tumors on MR images.A constrained formulation for the receiver operating characteristic (ROC) curve based on probability summation.
P2860
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P2860
A contaminated binormal model for ROC data: Part II. A formal model.
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2000 nî lūn-bûn
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2000 թուականի Յունիսին հրատարակուած գիտական յօդուած
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2000 թվականի հունիսին հրատարակված գիտական հոդված
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2000年の論文
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2000年論文
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2000年論文
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2000年論文
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2000年論文
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2000年論文
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2000年论文
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name
A contaminated binormal model for ROC data: Part II. A formal model.
@ast
A contaminated binormal model for ROC data: Part II. A formal model.
@en
type
label
A contaminated binormal model for ROC data: Part II. A formal model.
@ast
A contaminated binormal model for ROC data: Part II. A formal model.
@en
prefLabel
A contaminated binormal model for ROC data: Part II. A formal model.
@ast
A contaminated binormal model for ROC data: Part II. A formal model.
@en
P1433
P1476
A contaminated binormal model for ROC data: Part II. A formal model
@en
P2093
D D Dorfman
P304
P356
10.1016/S1076-6332(00)80383-9
P577
2000-06-01T00:00:00Z