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Investigating the appropriateness of different concordance measures in a time‐to‐event setting

Prediction models that assess a patient's risk of an event are used to inform treatment options and confirm screening tests. The concordance (c) statistic is one measure to validate the accuracy of these models, but has many extensions when applied to censored data. The purpose was to determine which c‐statistic is most accurate at different rates of censoring.