BookmarkSubscribeRSS Feed
Amanda
Calcite | Level 5

I need use GLM for check the  linear, cubic, quadratic effects in analysis with binomials variables.

Any people can help me, please?

Thanks.

3 REPLIES 3
SteveDenham
Jade | Level 19

Hello Amanda,

Could you give a reasonably full description of your experimental design?  With that info, there are several in the community who will be able to help.  However, with what you have given so far, it is hard to help--in fact, I can't even say that PROC GLM is the best tool for what you wish to accomplish.

Hope this will get you to post a more complete question.

Steve Denham

PaigeMiller
Diamond | Level 26

Are the binomial variables the predictor variables (X), or the response variables (Y)?

--
Paige Miller
Ksharp
Super User

Since you talk about binomial variables , Or maybe you can consider using proc reg.

"in analysis with binomials variables."

About your question, you need to check residual item of your model , to see whether your model has https://communities.sas.com/dict://key.0895DFE8DB67F9409DB285590D870EDD/heteroscedasticityheteroscedasticity. i.e. your residual item like a curve or increasing or decreasing .

Ksharp

sas-innovate-2024.png

Don't miss out on SAS Innovate - Register now for the FREE Livestream!

Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.

 

Register now!

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.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 3 replies
  • 877 views
  • 0 likes
  • 4 in conversation