I'm running multilevel logistic model using proc glimmix and I have missing values in the age variable f and this missing is due to individuals who are not the head of the household. Is there any option that would help in considering the missing as valid cases in order not to exclude them from the regression ( similar to the option Missing in Proc Logistic)? Thabks
Provide some sample data and the code your using and how you want the output.
Thanks, Suryakiran
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