Imputation is significant because missing data can lead to biased results and reduce the statistical power of research studies. In pediatric research, where sample sizes are often smaller, the impact of missing data can be even more pronounced. Accurate imputation methods ensure that health professionals can make informed decisions about child health management, treatment plans, and policy-making.
