To address MNAR in pediatric studies, researchers can employ several strategies:
Multiple Imputation: This technique involves creating several different plausible datasets by imputing missing values based on the observed data, then combining the results. Modeling MNAR Mechanisms: Researchers can use advanced statistical models that explicitly account for the MNAR mechanism. This often involves using specialized software and techniques like selection models or pattern-mixture models. Sensitivity Analysis: Conducting sensitivity analyses to assess how different assumptions about the missing data mechanism impact the study results can provide insights into the robustness of the findings.
