Sentence examples for proportions sensitivity from inspiring English sources

Confidence intervals for proportions (sensitivity and specificity) were calculated using the Wilson score method [ 9].

We used McNemar's test to determine the statistical significance of differences in paired binomial proportions: sensitivity and specificity.

Pooled proportions (sensitivity and specificity) were calculated through the weighted averages taking into account the sample size of each study.

However, the simple diagnostic test methods are based on weighted proportions (sensitivity, specificity), relative risks (likelihood ratios), odds ratios and regression (SROC, meta-regression).

†P value for test of difference of proportions, sensitivity of cytology in control arm at 3 years versus HPV testing in intervention arm at 3 (P=0.1934), 5 (P=0.4871), 8 (P=0.0255), and 10 years (P=0.0010).

†P value for test of difference of proportions, sensitivity of cytology in control arm at three years versus HPV testing in the intervention arm at 3 (P=0.0481), 5 (P=0.8970), 8 (p=0.0294), and 10 years (P=0.0012).

A receiver operating characteristic curve was obtained by plotting the true-positive proportion (sensitivity) against the false-negative proportion (1 – specificity).

We calculated that we would need a sample size of 139 for an expected proportion (sensitivity and specificity) of 0.90 to have a 95% confidence interval with a total width of 0.10.

Due to the uncertainty of the proportions, extensive sensitivity analyses were performed.

Nonetheless, we know of no existing methodology that incorporates selection forces into the classification proportions for sensitivity analyses.

A standard quantitative analysis of epidemiologic data implicitly assumes the exposure (risk marker, risk factor) classification proportions (eg, sensitivity and specificity) equal 1.0 (ie, perfect classification).