tooluniverse-diagnostic-test-evaluation
Installation
SKILL.md
Diagnostic Test / Biomarker Accuracy Evaluation
Judge how well a test or biomarker discriminates disease — at a fixed cutoff (2×2) or across all cutoffs (ROC) — and turn a result into a probability of disease.
Which case are you in?
| You have… | Go to |
|---|---|
| A 2×2 table (TP/FP/TN/FN) at a fixed cutoff | Step 1 (Epidemiology_diagnostic) |
| A continuous biomarker score + true labels | Step 2 (ROC / AUC / Youden, Python) |
| A test's sens/spec + a patient's pre-test probability | Step 3 (Epidemiology_bayesian) |
Step 1 — Fixed-cutoff metrics from a 2×2 table
tu run Epidemiology_diagnostic '{"operation":"diagnostic","tp":90,"fp":10,"tn":180,"fn":20}'
Returns sensitivity, specificity, PPV, NPV, accuracy, LR_pos, LR_neg, and the sample prevalence.