Researchers often use statistical tests such as Little's MCAR test to determine if the missing data in a study are MCAR. These tests help in assessing whether the assumption of randomness in missing data holds true. For example, if researchers are analyzing clinical trial data, they need to confirm that the missing data points do not correlate with any specific patient characteristics or treatment outcomes.
