[CrazyStat]

EM can be used to impute data, but that would be single imputation. Multiple imputation as described here would not use EM since the goal is to get samples from a distribution of possible values for the missing data.

[wdkrnls]

In other words, EM makes more sense. All this imputation stuff seems to me more like an effort to keep using obsolete modeling techniques.

[CrazyStat]

Absolutely not.

EM imputation (or single imputation in general) fails to account for the uncertainty in imputed data. You end up with artificially inflated confidence in your results (p-values too small, confidence/credible intervals too narrow, etc.).

Multiple imputation is much better.