What model
#statistics should one report after using multiple
#imputation and
#multilevel regressions, and how are they obtained? I'm using the
#mice package in
#rstats, and
#lme4 on each imputed dataset. When pooling results, summary() yields what I need for each model term, but nothing for the whole model. If I didn't impute but deleted listwise, I would normally report AIC, BIC, Loglik. These are all in the mipo object, for each result for each imputed dataset, but they're not pooled. I'm sure I'm missing something here. Does anyone know an example article where such results are presented neatly?