BookmarkSubscribeRSS Feed
alanb4173
Calcite | Level 5

Hi everyone-I have two different logistic models, call them Model A and Model B.  They are exactly the same, except Model B has some additional interactions added as predictors.  I would like to determine whether the additional predictors in Model B are significant as a whole.  Is there a way to do this in SAS?

1 REPLY 1
SteveDenham
Jade | Level 19

The best way to test as a whole would be to do a likelihood ratio test.  Since Model A is completely nested in Model B, the difference in the -2 log likelihoods should be asymptotically distributed as chi-squared with df=number of additional parameters.  ODS OUTPUT is your friend for getting the likelihoods into datasets where you can manipulate the values and do the calculations.  Oh, and I forgot this, everything between Model A and B has to really, really be exactly the same--no changes in PSUs or sampling weights.

Steve Denham

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 Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 1 reply
  • 836 views
  • 0 likes
  • 2 in conversation