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Inputs
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Sensitivity (True Positives / Real Positives)27.74%
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Specificity (True Negatives / Real Negatives)94.85%
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Prevalence (Real Positives / Population)8.23%
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Confusion Matrix - TestPositive on TestNegative on TestTotal
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Have Condition2.28%5.95%8.23%
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Don't Have Condition4.73%87.05%91.77%
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Total7.01%92.99%100.00%
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Output
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Accuracy of Test89.33%what chance is the diagnostic correct?
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Positive Predictive Value (PPV)32.57%what chance do you have condition if you test positive?
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Number Needed to Screen (NNS)43.8
how many patients you need to screen to get one true positive
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TO USE: Duplicate this sheet (Go to File > Make a Copy) and you can edit any of the cells in light blue at the top
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If you use these in preparing a research paper, grant proposal, or other publication, I would appreciate your acknowledging it by citing it in the references. Here is a suggested bibliography entry in APA or "author (date)" style:
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Tseng, B. (2024). Calculators for diagnostic figures of merit [Computer software]. Retrieved [month day, year], from https://benjamintseng.com/portfolio/diagnostic-math/
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