domains / families / research / decision-curve-analysis

decision-curve-analysis

separate

Use when evaluating the clinical utility of a binary prediction model from a single clinical CSV file by fitting a logistic decision-curve model, plotting decision and clinical-impact curves, and exporting summary outputs. NOT for: survival calibration, ROC-only discrimination analysis, nomogram construction, or time-to-event outcomes.

When to use

• evaluate whether a binary prediction model adds clinical net benefit across threshold probabilities;
• visualize decision curves and clinical-impact curves from a clinical cohort;
• export an auditable DCA model object together with summary text and PDFs.
• "Run decision-curve analysis on this binary outcome and risk-score dataset."
• "Generate DCA and clinical-impact plots for this prediction model."
• "Compare net benefit across thresholds for this case-control cohort."

When not to use

• time-to-event or survival outcomes;
• ROC-only discrimination analysis without decision-curve outputs;
• nomogram construction or calibration-curve analysis;
• multiclass outcomes or non-binary endpoints.

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