1. Imputation Phase: The missing data are filled in multiple times to create several complete datasets. Each dataset contains different plausible values for the missing data. 2. Analysis Phase: Each of the imputed datasets is analyzed using standard statistical methods. 3. Pooling Phase: The results from the multiple analyses are combined to produce a single set of estimates and inferential statistics.
