Multiple Imputation Analysis: Basics

We provide an overview of the multiple imputation analysis approach. It consists of three stages. In imputation stage, missing values are replaced by draws from their posterior predictive distributions. This process is repeated M times and results in M completed datasets. In analysis stage, each completed dataset is analyzed by standard complete-data statistical procedures, resulting in M sets of…