Abstract
I use this paper to deal with practical aspects of multiple imputation (MI). This paper focuses on several aspects that need consideration when missing values are imputed. Aspects include how to choose a useful set of imputation predictors from a large set of variables and how to generate the actual imputations when the variables are of mixed type. MI is becoming a popular method to deal with missing values. This paper is particular...