Multiple imputation is a statistical technique used to handle missing data in research. Missing data is a common issue in pediatric studies due to various reasons such as incomplete surveys, loss to follow-up, or unrecorded measurements. Multiple imputation aims to provide a more accurate and unbiased analysis by creating multiple sets of plausible values for the missing data.
