Loading Penziv...
Loading Penziv...
Calculate standard evidence-based medicine (EBM) metrics including Sensitivity, Specificity, PPV, NPV, and Likelihood Ratios using a 2x2 contingency table.
Enter the values for the diagnostic test results.
Computed diagnostic statistics
Enter values in the table to view results.
In clinical practice, the utility of a diagnostic test is described by its sensitivity, specificity, and predictive values. These metrics help clinicians interpret test results in the context of disease prevalence.
TP / (TP + FN)The ability of a test to correctly identify those with the disease (SNOUT: Sensitive tests rule OUT).
TN / (TN + FP)The ability of a test to correctly identify those without the disease (SPIN: Specific tests rule IN).
TP / (TP + FP)The probability that subjects with a positive screening test truly have the disease.
TN / (TN + FN)The probability that subjects with a negative screening test truly don't have the disease.
Likelihood ratios (LR) are used to assess how good a diagnostic test is and to help select an appropriate diagnostic test. They have advantages over sensitivity and specificity because they are less likely to change with the prevalence of the disorder.
Note: PPV and NPV are dependent on the prevalence of the disease in the population being tested. Sensitivity and Specificity are generally intrinsic properties of the test itself.