Deprecated, use apply_function_to_imputed_data instead.
remove_missing_from_mids(mids, var)a mids object filtered for observed cases of var.
mids objects that is filtered.
a string or vector of strings specifying the variable(s). All cases (i.e. rows) for which there are missing values are removed.
Till D. Best
Remove_missing_from_mids is used to filter a mids object for missing cases in the original dataset in the variable var. This is useful for situations where you want to use as many observations as possible for imputation but only fit your model on a subset of these. Or, if you want to create one large imputed datset from which multiple analyses with multiple outcomes are derived.
apply_function_to_imputed_data