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One hundred and thirty seven samples were then amplified by our semi nested PCR, generating a sensitivity of 99%.
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These findings in combination generated a sensitivity of 50% and specificity of 87% in differentiating H1N1(2009) from non-influenza illnesses.
The most convenient cut-off generated a sensitivity of 95% and a specificity of 75%.
This generated a sensitivity of 58% and a specificity of 58%.
In this instance a QTc threshold ≥438 ms generated a sensitivity of 59.4% and specificity of 83.7% [ 29].
Applying an A1C of 5.5% to National Health and Nutrition Examination Survey NHANESS) data generated a sensitivity of ∼92% and specificity of ∼30% from the published ROC curve (9).
When the cutoff value of 65 ng/ml for 25- OH D3 based on the ROC was obtained for predicting CALs, it generated a sensitivity of 78%% and specificity of 73%%.
For period 1 clusters only, a cutoff point of LLR >5.0 generated a sensitivity of 55.6% (95% CI 21.2%–86.3%) and specificity of 100%95%5% CI 73.5%–100.0%) for identifying clusters for further investigation.
The ROC analysis showed that a detection threshold of 13 fg of Aspergillus DNA per pellet generated a sensitivity and specificity of 76.9% and 87.7%, respectively (Fig. 2).
The optimal normalized thickness ratios were identified to be hTeO2/λ = 0.021 and hZnO/λ = 0.304, and the devices with such structures can which generate a normalized sensitivity of −1.04 × 10−3 m3/kg, a TCD of 0.009 ppm/°C, and a K2 value of 2.76%.
The cut-off for the TBEV.EDIII antigen was determined to be 61, generating a diagnostic sensitivity (Se) of 98.4% and a specificity (Sp) of 100%.
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