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Sensitivity and specificity calculator
Enter your 2×2 diagnostic table. You get sensitivity and specificity with Wilson confidence intervals, predictive values, likelihood ratios, overall accuracy and kappa — plus the sentence to report them.
A test with excellent sensitivity and specificity can still have poor positive predictive value in a low-prevalence setting. Reporting PPV without stating the prevalence it was calculated at is the single most frequent reporting failure in diagnostic accuracy studies.
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This calculator was checked by Sidra Khan, Lead Biostatistician
In short
What is the difference between sensitivity and specificity?
Sensitivity is the proportion of people who have the condition that the test correctly identifies. Specificity is the proportion of people without the condition that the test correctly rules out. Both are properties of the test. Predictive values, by contrast, depend on how common the condition is in the population tested.
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