Other measures of accuracy included specificity, positive predictive value, sensitivity, and negative predictive value.
For specified independent variable, if this value (sensitivity about the mean) is higher than other variables.
The positive predictive value, sensitivity, negative predictive value, and specificity were determined for visually identified endometriosis versus the histologic correlate.
Using 32.40 nM as the cutoff value sensitivity, specificity, positive and negative predictive values were all 100% for severe acute pancreatitis.
Using the total score of 5 as cut-value, sensitivity and specificity were 83.3% and 90.9% for definite episodic cluster headache among 342 patients.
After evaluating individual symptoms and conditions, we estimated the predictive value, sensitivity, and specificity of seven individual or combinations of syndromic keywords (Table 2).
At each value, sensitivity and specificity were plotted, thus generating an ROC curve.
AUROC analysis was also performed to calculate cutoff values, sensitivity, and specificity.
The AUC, optimal cutoff value, sensitivity and specificity of each indicator are given in Table 2.
AUC, cutoff values, sensitivity, specificity, and YI are reported in Table 5.
We first calculated the positive predictive value, sensitivity and specificity of memory fMRI alone (Table 5).
