bymims-harvard· 57 skills
Diagnostic test / biomarker accuracy — sensitivity, specificity, PPV, NPV, likelihood ratios, accuracy from a 2x2 table; ROC curve, AUC, and the optimal cutoff (Youden) for a continuous biomarker; and post-test probability via Bayes. Use when you have test results vs a gold standard (binary 2x2, or a continuous score + true labels) and need to judge how good the test is, pick a threshold, or compute the probability of disease given a result. Emphasizes the prevalence-dependence of PPV/NPV.
$npx -y skills add mims-harvard/tooluniverse --skill tooluniverse-diagnostic-test-evaluationInstalls into the current project.
Run `npx skills use "https://github.com/mims-harvard/tooluniverse" --skill "mims-harvard/tooluniverse/tooluniverse-diagnostic-test-evaluation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mims-harvard/tooluniverse" that are relevant to the current task. Run `npx skills add "https://github.com/mims-harvard/tooluniverse"` and select the relevant skills, then follow their instructions.