Can MAR be used in all types of epidemiological data?
While MAR is a useful assumption for many types of epidemiological data, it may not always be appropriate. The suitability of MAR depends on the nature of the missing data and the study design. For example, in longitudinal studies, missing data may be more likely to follow an MNAR pattern due to dropout related to the unobserved outcomes.
