Abstract
Background and Objective: Diagnostic and prognostic prediction models often perform poorly when externally validated. We investigate how differences in the measurement of predictors across settings affect the discriminative power and transportability of a prediction model. Methods: Differences in predictor measurement between data sets can be described formally using a measurement
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