Abstract
Objectives: To compare the validity and robustness of five methods for handling missing characteristics when using cardiovascular disease risk prediction models for individual patients in a real-world clinical setting. Study design and setting: The performance of the missing data methods was assessed using data from the Swedish National Diabetes Registry
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