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You understood the basic multiple imputation process right. The process is like: First your create your m imputed datasets. (mice () - function) Then you do your analysis on each of these datasets. (with () - function) In the end you combine these results together. (pool () - function) This is a quite often misunderstand process (often people assume you have to combine your m imputed datasets ...
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