Sensitivity and Specificity Calculator
This calculator is designed for healthcare professionals and researchers to compute the sensitivity and specificity of diagnostic tests. It aims to aid in evaluating the effectiveness of medical tests.
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Data Source and Methodology
All calculations are based on standard formulas found in medical literature, ensuring accuracy and reliability for diagnostic evaluation.
The Formula Explained
Sensitivity: \( \text{Sensitivity} = \frac{TP}{TP + FN} \times 100 \)
Specificity: \( \text{Specificity} = \frac{TN}{TN + FP} \times 100 \)
Glossary of Variables
- True Positives (TP): The number of correct positive results.
- False Positives (FP): The number of incorrect positive results.
- True Negatives (TN): The number of correct negative results.
- False Negatives (FN): The number of incorrect negative results.
How It Works: A Step-by-Step Example
Consider a test with 80 true positives, 20 false positives, 85 true negatives, and 15 false negatives. The sensitivity would be calculated as (80 / (80 + 15)) × 100 = 84.21%, and the specificity as (85 / (85 + 20)) × 100 = 80.95%.
Frequently Asked Questions (FAQ)
What is sensitivity in diagnostics?
Sensitivity is the ability of a test to correctly identify those with the disease (true positive rate).
What is specificity?
Specificity is the ability of a test to correctly identify those without the disease (true negative rate).
How are sensitivity and specificity calculated?
Sensitivity is calculated as the number of true positives divided by the sum of true positives and false negatives. Specificity is calculated as the number of true negatives divided by the sum of true negatives and false positives.