Receiver-operator characteristic

AUROC area under the receiver operator characteristic... 

Fig. 2 A receiver operator characteristic curve reproduced from PubMedCentral http //www. pubmedcentral.nih.gov/articlerender.fcgi artid=1065080 and [16]...

The Role of Receiver Operating Characteristic (ROC) Curves in the Evaluation... 

A new tumor marker is evaluated using the same criteria used for many diagnostic tests (i.e., sensitivity, specificity, and accuracy). The diagnostic sensitivity and specificity are best represented by a receiver operating characteristic (ROC) curve. The ROC curve is constructed with the true-positive rate versus false-positive rate at various decision levels. As a test improves in its diagnostic performance, it shifts upward and to the left as the true-positive rate increases and the false-positive rate decreases. 

This type of signal detection analysis was advanced during World War II for the monitoring of radar images where it was necessary for radar receiver operators to make judgments on whether a blip was due to enemy or friendly objects, or just noise. Consequently the analysis is known as Receiver Operator Characteristics or ROC. 

Quadrupole ion trap, time of flight, mass spectrometer Quantum yield Research and development Reversal electron attachment detection Remote environmental monitoring units Remote explosive scent tracking Radio frequency Ragnar s Homemade Detonators Receiver operator characteristics (a graphical portrayal of Pd and Pfp)... 

Fig. 11.8. A binormal receiver operating characteristic (ROC) curve (solid line) plotting the sensitivity versus 1-specificity using the 850 nm OCT attenuation coefficient to distinguish between eariy caries and heaithy enamel. The dashed line represents the ROC curve for a nondiscriminatory test. The markers on the curve represent setting an OCT attenuation coefficient threshold between caries and healthy enamel at 0.9 rnrri 1 (diamond) and at 1.08 rrirri 1 (star)...

Enrichment based methods. These focus on recovering active molecules from a test database in which a small number of known actives have been hidden in a large database of randomly selected compounds. Database mining and the utilization of receiver operating characteristic (ROC) curves [43] can be included in this category. 

This maximizes Se (Se l). However, specificity will be minimized as most of the inactive molecules will be in the selection. The situation is reversed in the case where n is very small (n 0). Consequently, one cannot optimize both Se and Sp at the same time and a trade-off is to be determined. If one can choose to rely on one of the above metrics to find an optimum, we have recently advocated the use of a simpler graphical technique which has been adopted as a gold standard in many other research areas the receiver operating characteristic (ROC) curve method [53]. 

Constructing a receiver operating characteristic (ROC) curve, which is a quantitative analysis, it showed that a rapamycin blood concentration of >8 ng/mL was the proper cutoff to define high blood concentration of the drug, and that it was in agreement with the mean rapamycin blood concentration in patients having no restenosis (7.9 ng/mL). 

Fig. 6 Test set receiver operator characteristic curves for M. tuberculosis Bayesian models, (a) Southern Research Institute data for >100,000 molecules (1,702 actives), (b) Novartis data for 248 molecules (34 actives), (c) FDA-approved drugs, 2,108 molecules (21 actives) (17,29)...

The selectivity of the sensor is determined by the efficiency of the coating material. Developing selective coatings is an ongoing research area. Figure 3 shows a useful metric for sensor performance called the receiver operating characteristic (ROC) curve [16]. 

LLD, lower limit of detection 99th, 99th percentile reference limit ROC, receiver operator characteristic curve optimized cutoff 10% Cy lowest concentration to provide a total imprecision of 10%. 

Metz, C. E Herman, B. A. Shen, J. H. (1998b). Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data. Stat Med 17, 1033-53. 

ROC curve Receiver Operating Characteristics curve. A graphical technique of evaluating the performance of a classifier the plot of sensitivity by 1 - specificity (see sensitivity/specificity). 

Discrimination can be summarized by various single statistics, such as the area under the receiver operating characteristic curve (or the equivalent C statistic), measures, or the d statistic, although all of these measures have limitations (Royston and Sauerbrei 2004 Altman and Royston 2007 Lewis 2007). 

Cl, confidence interval TIA, transient ischemic attack CT, computed tomography ECG, electrocardiography AUC-ROC, area under the curve of the received operator characteristic... 

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