Some note I have written two post previously about multiple imputation using mice package:
A short note on multiple imputation
Variable selection for imputation model in {mice} This post probably my last post about multiple imputation using mice package.
Some note I have written a short post about missing data and multiple imputation in mice package previously. This post will add to that previous post.
Imputation model Imputation model is the model that we use for our imputation approach.
Background Missing data is quite challenging to deal with. Deleting it may be the easiest solution, but may not be the best solution. Missing data can be categorised into 3 types (Rubin, 1976):