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roc-diagnostic-performance

separate

Use when evaluating diagnostic biomarker performance from case-control expression data with logistic regression and ROC curves, exporting coefficient and AUC tables together with a ROC PDF. NOT for: survival analysis, time-to-event outcomes, multiclass classification, calibration curves, decision-curve analysis, or nomogram construction.

When to use

• evaluate one or more diagnostic marker genes in a case-control cohort;
• build a multivariable logistic regression diagnostic model from marker expression values;
• compare the ROC performance of the full model against individual markers.
• "Use these genes to build a diagnostic ROC model for case vs control samples."
• "Evaluate the AUC of FOXP3, CD45, and CD3E and plot all ROC curves together."
• "Run logistic regression on biomarker expression and export ROC results."

When not to use

• survival or prognostic analysis with time-to-event outcomes;
• multiclass classification tasks;
• calibration plots, nomograms, or decision-curve analysis;
• non-expression diagnostic inputs such as imaging, clinical scores, or mutation-only tables.

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