In a cardiac prediction model simulation, k-nearest neighbors imputation provided the most stable and computationally efficient performance across complex missingness scenarios, outperforming multiple imputation at high missingness.
Development and validation of a prediction model with missing predictor data: a practical approach
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Comparing Imputation Methods for Clinical Prediction Model Development under Complex Missingness Scenarios: A Simulation Study Using Real-World Cardiac Data
In a cardiac prediction model simulation, k-nearest neighbors imputation provided the most stable and computationally efficient performance across complex missingness scenarios, outperforming multiple imputation at high missingness.