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Sensitivity and Specificity with confidence intervals were calculated.
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We used Review Manager 5.2 20 to calculate study specific estimates of sensitivity and specificity with 95% confidence intervals and MetaDisc 1.4 21 to calculate likelihood ratios with 95% confidence intervals.
We calculated the area under the receiver-operator characteristic curve (AUROC) with a 95% confidence interval of HbA1c using the American Diabetes Association classifications, and determined the sensitivity and specificity with 95% confidence intervals at different thresholds.
Sensitivity and specificity, with 95% confidence intervals, were calculated in addition to positive and negative predictive values.
Therefore, prognostic markers should always achieve a high specificity with narrow confidence intervals.
The sensitivity and specificity with 95% confidence intervals (95% CI) were calculated to assess the diagnostic performance of D-dimer for PE in pregnant and post-partum patients.
The results were followed until 31 December 2014, including true positives (TPs), true negatives (TNs), false positives (FPs), false negatives (FNs), positive predictive values (PPVs), negative predictive value (NPV), sensitivity and specificity, with a confidence interval of 95%.
Performance was reported as sensitivity and specificity (with 95% confidence intervals) of optimized smear as compared to LJ culture, as well as incremental yield of optimized smear as compared to direct ZN smear.
After antilogit transformation, summary estimates of sensitivity and specificity with 95% confidence intervals were calculated.
Sensitivity and specificity with 95% confidence intervals (CI) of individual rapid HIV assay and combinations of various assays were determined.
The bivariate effects model [ 12] was used to summarise estimates of sensitivity and specificity with 95% confidence intervals.
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