In pediatric research, missing data can lead to biased results and reduced statistical power. Children may miss follow-up appointments, be unable to complete certain assessments, or provide incomplete responses due to cognitive or emotional factors. These challenges necessitate effective methods to handle missing data to ensure the validity and reliability of research findings.
