I'm trying to understand MICE imputation process, I have read some articles and I have understood how the imputation happens, but I didn't get the pooling step. After analyzing the resulting datasets with Rubin's rules, how to pool these datasets? How to get only one dataset?
In the end, do I combine all these datasets? If yes, how? Or do I compare every dataset's estimators with Rubin's estimators and choose one dataset?