What Are the Limitations of Regression Imputation?
Despite its benefits, regression imputation has limitations. It relies heavily on the assumption that the data are missing at random, which may not always hold true in clinical settings. If this assumption is violated, the imputed values may introduce bias. Moreover, the method can underestimate the variability in the data, leading to overly confident conclusions. It's also important to choose appropriate variables for the imputation model to avoid errors or unintended correlations.
