In most cases, you can simply fit your model directly in Blimp and get Bayesian parameter estimates that average over thousands and thousands of imputed data sets. In some instances you may want to save a few of those data sets for reanalysis in the frequentist framework. In this video I walk you through a multiple imputation analysis in Blimp.