When handling missing values, selecting an imputation method that balances simplicity, variability, and accuracy is essential. Deterministic Regression, Stochastic Regression, and Predictive Mean Matching (PMM) are three widely used methods, each with strengths and limitations depending on the data's structure.
The attached plot compares these methods using a non-linear data example.
Tutorial: https://statisticsglobe.com/predictive-mean-matching-imputation-method/.
More: http://eepurl.com/gH6myT