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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
by CrazyStat 2y ago
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 2y agoIn other words, EM makes more sense. All this imputation stuff seems to me more like an effort to keep using obsolete modeling techniques.
- CrazyStat 2y agoAbsolutely 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.