Sentence examples for sensitivity proportion from inspiring English sources

The test was referenced for a two-tailed p value and a 95%% confidence interval was constructed around sensitivity proportion using normal approximation method.

The test was referenced for a two-tailed p value, and a 95%% confidence interval was constructed around a sensitivity proportion using a normal approximation method.

The TSS is the sum of the sensitivity (proportion of actual positives which are correctly identified as such) and the specificity (proportion of negatives which are correctly identified).

We determined sensitivity (proportion of positive test result among those with the infection) and specificity (proportion of negative test results among those without the infection).

ROC curves were obtained and the following parameters were calculated to measure the effectiveness of prediction: AUC, sensitivity (proportion of responders which are correctly identified), specificity (proportion of non-responders which are correctly identified), NPV and PPV.

When interpreting the continuous PAI-BOR score as a categorical measure of BPD, at the best cut-off point of a score of 42, the sensitivity (proportion of individuals correctly classified as BPD) was 71% and the specificity 69% (1-specificity reflects the proportion of individuals falsely classified as BPD) [42].

It was referenced for a two-tailed p value, and a 95%% confidence interval was constructed around sensitivity proportions using normal approximation method.

Sensitivity – the proportion of positive results correctly identified by the test=TP/ TP+FN); Specificity – the proportion of negative results correctly identified by the test=TN/ TN+FP).

Information for cases alone does not allow calculation of sensitivity (the proportion of true cases correctly identified in the GPRD data), specificity (the proportion of individuals without the disease identified as such in the database), or negative predictive value.

Study endpoints were sensitivity (the proportion of cancer patients who were correctly identified by the test or procedures) and specificity (the proportion of healthy individuals who were correctly identified), with their 95% confidence intervals (CIs) [ 23].

Study endpoints were sensitivity (the proportion of cancer patients who were correctly identified by the test or procedures) and specificity (the proportion of healthy individuals who were correctly identified), with their 95% confidence intervals (CIs).