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model-calibration-curve

separate

Use when assessing how well a survival model's predicted probabilities agree with observed outcomes by fitting a Cox model and generating bootstrap calibration curves at one or more prediction horizons from a clinical CSV file. NOT for: nomogram construction, univariate Cox screening, ROC analysis, or decision-curve analysis.

When to use

• validate a survival model with bootstrap calibration curves;
• compare predicted and observed survival probabilities at multiple horizons;
• export calibration statistics together with a PDF visualization.
• "Generate 1-, 2-, and 3-year calibration curves for this prognosis model."
• "Check whether the Cox model built from age, gender, and risk is well calibrated."
• "Export calibration statistics and a calibration PDF from this clinical cohort."

When not to use

• nomogram construction;
• univariate or multivariable Cox feature screening;
• ROC, calibration-free discrimination, or decision-curve analysis;
• non-survival endpoints or multiclass classification tasks.

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