10-05-2016 10:36 PM
I plan to create a logistic regression model in SAS, but I am working with categorical data (independent variables) with missing values.
Should I eliminate the missing values before fitting the model? I'm leaning towards this because the goal is not to predict using missing categorical values.
Should I create a new category for missing variables? If I do that, then I'd have to create an extra dummy variable.
Thank you in advance for your help!
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