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Hello,
Actually, I would like to know that if stata file contains variable with missing values,what would be the impact on the final estimated values obtained by executing runmlwin command for random intercept and random slope models.Since it is well known that MLwin does not yield refined results in case of missing observation.Furthermore, what should be done with missing values
I am not quite sure what you mean by "Since it is well known that MLwin does not yield refined results in case of missing observation."
MLwiN's default treatment of missing values is the same as other packages: listwise deletion. Thus, impact of listwise deleting records with missing values in a particular random-slope analysis will be the same whether you fit the model in MLwiN or in Stata using -mixed-.
There are of course more principled approaches to dealing with missing data such as multilevel multiple imputation and one should consider these, especially if the proportion of missing values is high.
