There are several methods to handle missing data in pediatric studies:
Imputation: Replacing missing values with substituted values. Common techniques include mean imputation, regression imputation, and multiple imputation. Listwise Deletion: Excluding any records with missing data. This method is simple but can lead to significant data loss. Pairwise Deletion: Using all available data to calculate statistics. This method is more inclusive but can lead to inconsistent sample sizes. Model-Based Methods: Using statistical models that account for missing data, such as maximum likelihood estimation.
