In the context of Epidemiology, data can often be incomplete due to various reasons. Missing at Random (MAR) is a statistical concept used to describe a situation where the probability of data being missing is related to the observed data but not the missing data itself. This means that any systematic difference between the missing and observed data can be explained by the observed data.
