operating characteristic curve


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operating characteristic curve

[′äp·ə‚rād·iŋ ‚kar·ik·tə′ris·tik ′kərv]
(statistics)
In hypothesis testing, a plot of the probability of accepting the hypothesis against the true state of nature. Abbreviated OC curve.
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Receiver operating characteristic curve analysis of neutrophil to lymphocyte ratio to predict lupus nephritis showed that area under the curve was 0.76.
The discrimination and accuracy of APACHE IV and MELD to predict the early mortality of OLT patients were described by receiver operating characteristic curves (ROC) and the Hosmer-Lemeshow test.
The researchers found that based on measurement of the area under the receiver operating characteristic curve (AUC), there was a 0.057 increase in radiologist performance for the detection of malignant lesions with the use of AI, from 0.795 to 0.852.
We used receiver operating characteristic curve (Figure) to define the cutoff point for CSF LDH to differentiate SAH from traumatic LP.
Sensitivity was 84.0% overall (76.6% for precancer and 86.9% for cancer), specificity was 97.3% overall (97.3% and 97.3%), and area under the receiver operating characteristic curve was 0.87 overall (0.84 and 0.88).
Moustafa and her collaborators found that the area under the receiver operating characteristic curve (AUC) for the combination of miRNAs 125, 451, and 3613 was 0.917.
The diagnostic performance of PCT was evaluated using a receiver operating characteristic curve. A 2-sided probability value of <0.05 was considered statistically significant.
To assess the utility of Neutrophil Gelatinase-associated Lipocalin measurements at varying cut-off values to predict indications for dialysis, a conventional receiver operating characteristic curve was generated and the area under the curve was calculated.
The area under the receiver operating characteristic curve for the MELD score was 0.612 [+ or -] 0.086 which was significantly lower than that for the [LHL.sub.15] ratio (0.800 [+ or -] 0.063, P <0.001; Figure 5), suggesting that the [LHL.sub.15] ratio was able to predict subsequent mortality more accurately than the MELD score.
Receiver operating characteristic curve analysis revealed that definition 1 had a sensitivity of 24.7% and a specificity of 90.5%, definition 2 had a sensitivity of 56.8% and a specificity of 76.2%, and definition 3 had a sensitivity of 95.1% and a specificity of 68.3%.