Sentence examples for mean sensitivity values from inspiring English sources

In this GEE method, regression analyses were performed to compare the mean sensitivity values of the two methods [ 20].

Considering all lesions, mean of sensitivity values was higher at occlusal surfaces.

Stratification means that sensitivity values have to be calculated at a predefined specificity (mostly 98% or more) using the same cohort of RA patients and disease control sera.

Mean sensitivity and specificity values were calculated as 0.95 ± 0.09 and 1.00 ± 0.0025 respectively.

The mean sensitivity and specificity values for qualitative assessment of the dIVC by an intensivist were 80.7% and 93.7%, respectively.

To evaluate the validity of the ICDAS method, mean sensitivity and specificity values (SD) were calculalted for each tooth (dentine caries D3 vs. sound tooth).

Mean sensitivity and standard deviation values indicated high year to year variability (Table 2).

For patients without a substance use disorder, the mean sensitivity and negative predictive values were 88% and 95%, respectively.

The mean sensitivity and negative predictive value of the anxiety disorder subscales was 88.5% and 96.5% when all patients were considered, and 88.2% and 95.6% when only depressed patients were examined.

The mean sensitivity, specificity, positive and negative predictive values were similar in the prediction models was 0.751, 0.665, 0.330 and 0.924, respectively.

Low sensitivity values do not mean that the parameters are of low importance, but rather indicate that changes in these parameter values do not have large effects on the output.