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I'm running a simulation study on missing data in multilevel data sets. I generate full data sets first according to a random intercept substantive analysis model and then induce missingness. I generate a continuous response in level-1, 3 categorical predictors in level-1 and 2 categorical ...

MCMC Manual- Chapter 18 describes a Multiple Imputation procedure for two-level continuous data. Here, the responses are treated as a lower level so the model becomes three-level. How this can be used for a three-level multiple imputation?