I'm trying to run a logistic model but the below code generated output without intercept. The output is essentially the same as specifying " /noint" in the model line. Can someone please shed some light?
proc logistic data = out.analysis descending;
model answer = duration treat;
strata respid;
run;
Please show us the output from your PROC LOGISTIC. Screen capture is fine, please click on the "Insert Photos" icon to include your screen capture in your reply. Please do NOT attach files.
Thanks! Have seen the example and details.
May I ask why there is no intercept?
Thank you very much for the explanation.
With the estimation results, if I were to reconstruct the utility derived from a certain combination of predictors, can this still be achieved without intercepts reported?
I was conceptualizing this with a logistic regression without stratification, where the utility is derived as beta_0+beta_k*X_k, where beta_0 is the intercept and X_k represents the predictors.
@YennyS wrote:
Thank you very much for the explanation.
With the estimation results, if I were to reconstruct the utility derived from a certain combination of predictors, can this still be achieved without intercepts reported?
I was conceptualizing this with a logistic regression without stratification, where the utility is derived as beta_0+beta_k*X_k, where beta_0 is the intercept and X_k represents the predictors.
First I will say I am not sure what you are looking for.
If you think an intercept might help you might try Surveylogistic with Strata. There the Strata is treated as part of the sample design and can provide intercepts for each level of the response variable.
Thanks! This is very helpful!
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
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.