What are the implications of assuming MAR in data analysis?
Assuming MAR allows researchers to use techniques like multiple imputation or Maximum likelihood estimation to handle missing data. These methods can provide more accurate estimates than simply omitting missing data or using single imputation methods. However, if the MAR assumption is incorrect, it can lead to biased results.
