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Methods

Concordance index (C-index)

Also called: Harrell's C, C-statistic

The C-index measures how well a model ranks patients by risk: the chance that, of two patients, the one predicted at higher risk has the event first. 0.5 is chance, 1.0 is perfect.

The concordance index (C-index) is the standard discrimination measure for survival models. Take every usable pair of patients: the model is concordant for a pair if the patient it predicts at higher risk is the one who has the event sooner. The C-index is the proportion of concordant pairs.

A value of 0.5 means the model ranks no better than chance, and 1.0 means perfect ranking. In clinical prediction, values around 0.7 are often considered acceptable and above 0.8 strong, though what is useful depends on the decision being made. For a yes or no outcome, the C-index equals the area under the ROC curve (AUC).

The C-index measures ranking only. A model can rank well but still predict risks that are systematically too high or too low, so it should be reported together with calibration.

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Educational reference. Not medical advice and not for clinical decision-making.