Technical Assessment
Technical Assessment
This tool is a technical assessment calculator based exclusively on the Clopper–Pearson exact method for estimating 95% confidence intervals of diagnostic performance metrics. It is intended for research and educational purposes only.
The calculator does not account for disease prevalence, likelihood ratios, or pretest probabilities. Furthermore, in the absence of a standardized reference method, the performance characteristics of this tool have not been independently verified or benchmarked. Users are therefore advised to interpret all results with appropriate caution and to recognize the inherent limitations of relying on unvalidated computational models for clinical or regulatory decision-making.
Palmetto technical assessment header
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Number of Unique Samples Tested: Total number of distinct samples tested.
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Number of Samples with Specified Allele EXPECTED: True positives + false negatives.
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Number of Samples with Specified Allele DETECTED: True positives + false positives.
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Concordant POSITIVE Samples: True positives (TP) — cases where the specified allele was expected and correctly detected.
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Concordant NEGATIVE Samples: True negatives (TN) — cases where the allele was not expected and correctly not detected.
From this, we can derive the following:
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False Negatives (FN) = Expected positives − Concordant positives.
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False Positives (FP) = Detected positives − Concordant positives.
PPA and NPA have the same formula as sensitivity and specificity and they are used when no absolute gold standard is available (agreement-based).
Citation
References
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Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L., ... & STARD Group. (2015). STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. Radiology, 277(3), 826-832.
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Clopper, C. J., & Pearson, E. S. (1934). The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika, 26(4), 404-413.