Understanding the nature of missing data is crucial for accurate data analysis and interpretation. In pediatric research, MAR can affect the validity of study results. For example, if the missing data are not properly addressed, it can lead to biased conclusions about the effectiveness of a medical intervention or the prevalence of a health condition.
