In nursing research, dealing with missing data appropriately is crucial for drawing valid conclusions. MAR allows researchers to use statistical techniques that can handle the missing data without introducing significant bias. This is particularly important in fields like epidemiology and clinical trials, where data completeness can significantly impact outcomes.
