Simulated versus non-simulated imputed data: A comparison of handling missing data techniques for numerical covariates
Missing data poses a great challenge in much research, and if not appropriately handled, can negatively impact the analysis and bias the results and study conclusions. This article assesses the performance of numerous methods used to impute missing data by using Root Mean Squared Error (RMSE) under various missing data...