Median imputation is particularly useful in the following scenarios: - Small datasets: When dealing with small datasets where missing data could significantly impact the results. - Non-normally distributed data: When the data is skewed, the median provides a better central tendency measure than the mean. - Clinical research: In studies where complete data is critical for valid conclusions, such as clinical trials or observational studies.
