The proposed ‘concordance-statistic for benefit’ provided a useful metric when modeling heterogeneous treatment effects

Clinical prediction models that support treatment decisions are usually evaluated for their ability to predict the risk of an outcome rather than treatment benefit – the difference between outcome risk with versus without therapy. We aimed to define performance metrics for a model's ability to predict treatment benefit.

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