ROC curves
Smoothed Empirical Likelihood Inference for ROC Curves with Missing Data
... The ROC curve is usually defined as a graphical plot of the sensitivity vs ...that ROC curve is an appealing method to summarize the accuracy of pre- dictions in the diagnostic ...years, ROC ...
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Using ROC curves to choose minimally important change thresholds when sensitivity and specificity are valued equally : the forgotten lesson of Pythagoras : theoretical considerations and an example application of change in health status
... supra) ROC curves when the number of cut-points is large ...the ROC curve is ...the ROC curve monotonically decreases) all three estimators will choose the same point (even when the curve is ...
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Statistical Methodology: III Receiver Operating Characteristic (ROC) Curves
... The sensitivity of the test at a specific cutpoint is calculated in column 4 Sensitivity.For each cutpoint, sensitivity is defined as the number of patients with appendicitis who have WB[r] ...
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To Forbear or not to Forbear? A Behavioral Perspective of Multimarket Competition
... test. ROC curves provide a comprehensive and visually attractive way to summarize the accuracy of ...speaking, ROC curve is a graphical plot of the sensitivity, or true positives, versus (1 − ...
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Media Access with Spatial Reuse for Cooperative Spectrum Sensing
... approaches, we consider a greedy algorithm as well as an adaptive simulated annealing (ASA) technique. 2) We analyze the degradation introduced by reporting channel errors on cooperative spectrum sensing performance with ...
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Examining the validity and reliability of the Activities Specific Balance Confidence Scale 6 (ABC 6) in a diverse group of older adults
... the ROC curve, is widely utilized to evaluate the diagnostic performance of a test, in other words, the accuracy of a test to discrim- inate normal cases from diseased ...
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High-throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association Consortium.
... Graphs comparing the ROC curves for the discriminatory accuracy of the automated continuous Ki67 scores against categories of the visual score by classifier type (TMA-specific and univer[r] ...
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Coronary Computed Tomography Angiography-Specific Definitions of High-Risk Plaque Features Improve Detection of Acute Coronary Syndrome: Results From the ROMICAT II Trial
... Continuous data are presented as mean ± standard deviation or median with 25th and 75th percentile, and categorical or ordinal variables are presented as absolute and relative frequencies. On a per patient level, ...
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Serum Helicobacter pylori FliD antibody and the risk of gastric cancer
... FliD and CagA are important virulence factors of H. pylori. We aimed to evaluate the screening values of FliD and CagA for gastric cancer (GC). Serum samples were obtained from 232 cases and 266 controls in a ...
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Evaluating cutpoints for the MHI 5 and MCS using the GHQ 12: a comparison of five different methods
... |TPR + FPR - P(Case)| (8) It can be shown that in the continuous case (i.e. where the new measure is capable of infinite subdivision) this method is equivalent to the minimax method. In discrete cases, they will produce ...
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... Survival analysis was carried out using the actuarial and Kaplan- Meier methods. Association with 30 day mortality for the individual variables and scores were calculated using Univariate Cox logistic regression analysis ...
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LIPID PROFILE VARIABLES AND PREDICTION OF THE SEVERITY OF CORONARY ARTERY DISEASE IN TUNISIAN TYPE 2 DIABETIC PATIENTS
... in ROC curves, the fact that the serum levels of TC, LDL-c, HDL-c are not clearly predictive in T2DM in CAD patients, and the absence of significant differences in the degree of stenosis and vessel disease ...
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An automated chimpanzee identification system using face detection and recognition
... Figure 11 shows the ROC curves of the proposed identification algorithm for alignment using the manually annotated facial feature points (blue solid line), automatically detected marking[r] ...
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Using k-NN to analyse images of diverse germination phenotypes and detect single seed germination in Miscanthus sinensis
... The most important factors in the application of com- puter vision for seed germination counting are reproduc- ibility and speed compared with a human. If computer vision offers no advantage, there is no reason to switch ...
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Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy
... For the diagnosis of malig- nancy our system presented ROC curves with areas of: 0.91 for nodules highly unlikely of being malignant, 0.80 for nodules moderately unlikely of being malig[r] ...
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Accuracy of logistic models and receiver operating characteristic curves
... We are able to use the retrospective and prospective ROC curves to show that the 'shrunk' estimates can produce predictors which have better discriminatory power than the model or data a[r] ...
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Multi-marker approach using procalcitonin, presepsin, galectin-3, and soluble suppression of tumorigenicity 2 for the prediction of mortality in sepsis
... (ROC) curves of each biomarker and SOFA score were compared to derive optimal cutoff values for the prediction of 30-day all-cause ...the curves (AUC) were reported with their 95% confidence interval ...
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Pretreatment gut microbiome predicts chemotherapy-related bloodstream infection
... (ROC) curves and computed the area under the curve (AUC) values on ten sets of predictions obtained from tenfold cross-validation using ROCR package in ...
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Arterial pressure based cardiac output in septic patients: different accuracy of pulse contour and uncalibrated pressure waveform devices
... (ROC) curves. The area under the ROC curves (expressed as mean (95% confi- dence interval) were compared by using the Hanley-Mac- Neil ...
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A new evolutionary algorithm based home monitoring device for Parkinson's dyskinesia
... resulting ROC curves, illustrating that the classifier retains a good ability to separate samples with Grades 3 and 4 dyskinesia from samples with no dyskinesia, and has not overfitted the first data ...
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