The choice of imputation method depends on various factors including the type of data, the amount and pattern of missingness, and the assumptions that can be made about the missing data mechanism.
- MCAR: Mean/Median imputation or hot deck imputation can be appropriate. - MAR (Missing at Random): More sophisticated methods like multiple imputation or regression imputation are usually preferred. - MNAR (Missing Not at Random): These situations are more challenging and may require advanced modeling techniques or sensitivity analyses.
