Collins GS., Dhiman P., Ma J., Schlussel MM., Archer L., Van Calster B., Harrell FE., Martin GP., Moons KGM., van Smeden M., Sperrin M., Bullock GS., Riley RD.

Evaluating the performance of a clinical prediction model is crucial to establish its predictive accuracy in the populations and settings intended for use. In this article, the first in a three part series, Collins and colleagues describe the importance of a meaningful evaluation using internal, internal-external, and external validation, as well as exploring heterogeneity, fairness, and generalisability in model performance.

Evaluation of clinical prediction models (part 1): from development to external validation.

Collins GS., Dhiman P., Ma J., Schlussel MM., Archer L., Van Calster B., Harrell FE., Martin GP., Moons KGM., van Smeden M., Sperrin M., Bullock GS., Riley RD.

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