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.
Stability of multivariable fractional polynomial models with selection of variables and transformations: a bootstrap investigation
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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.