BookmarkSubscribeRSS Feed
sas_sad
Calcite | Level 5

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

4 REPLIES 4
sas_sad
Calcite | Level 5
I did this, but the VIF was still around 12. I categorized age into smaller groups, but both had vid above 10.
Reeza
Super User
What exactly do you mean when you say you "did this"? What is "this"?
Because nothing in the link above is about changing the categories into smaller groups.
sas_sad
Calcite | Level 5

I am sorry, I meant this:

 

 

sas_sad_0-1613065131227.png

 

hackathon24-white-horiz.png

The 2025 SAS Hackathon has begun!

It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.

Latest Updates

What is ANOVA?

ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 4 replies
  • 1489 views
  • 0 likes
  • 2 in conversation