Time-Dependent Predictive Accuracy Metrics for Interval-Censored Competing-Risks Models
How to compute time-dependent discrimination and calibration metrics — the time-dependent AUC, Brier score, and expected predictive cross-entropy — for a risk-prediction model when the outcome is interval-censored and a competing event is present. Two estimators are contrasted: a model-based approach that weights every at-risk subject by its predicted risk, and an inverse-probability-of-censoring-weighting approach that reweights the subset of subjects with a known case/control status.
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Time-dependent Predictive Accuracy Metrics in the Context of Interval Censoring and Competing Risks
Extends time-dependent predictive-accuracy metrics — the time-dependent AUC, Brier score, and expected predictive cross-entropy (EPCE) — to time-to-event data that are interval-censored (the event is…