Despite its advantages, multiple imputation comes with certain limitations:
Complexity: The method can be computationally intensive and requires careful selection of imputation models. Assumptions: It relies on the assumption that the data are missing at random (MAR), which might not always hold true in toxicological studies. Model Dependency: The quality of imputation heavily depends on the chosen model, which may introduce additional bias if not correctly specified.
