Hi Folks,
I am running a logistic model where my outcome is 0/1 and independent variables are either 0/1 or quartiles. The age variable (20 to 54) is highly collinear with education and race (VIF is 12). However, I cannot drop age and I tried recategorizing it, but the VIF was still above 10. So, I started reading that it can be taken care of by doing a ridge or lasso regression. I have searched extensively, but I did not get any information on how to implement it in logistic regression along with interpretation.
Thanks
I am sorry, I meant this:
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