Multiple imputation is particularly useful when missing data is not missing completely at random (MCAR). It is appropriate when data is missing at random (MAR), meaning the probability of missingness is related to observed data but not to the missing values themselves. It is less effective when data is missing not at random (MNAR), where the missingness is related to the unobserved data.
