Apologies for cross-posting
Hello,
I have run an interaction effect using logistic GEE on PROC GENMOD. I’ve used the following SAS codes to run this analysis:-
PROC GENMOD DATA=my_filename descending;
CLASS obs_number company_id;
model completed = CAR*CEO_Pay
CAR CEO_Pay
covariate1 covariate2
Year1993 Year1994 Year1995 Year1996 Year1997
/DIST=bin LINK=logit;
REPEATED subject=company_id /TYPE=ar(1) CORRW covb ;
run;
Both CAR and CEO_Pay are continuous independent variables.
The dependent variable “completed” is a binary coded variable (completed acquisition=1, abandoned acquisition=0).
Covariate1 is a continuous control variable.
Covariate2 is a binary control variable.
I need to graph the interaction between CAR and CEO_Pay (CAR*CEO_Pay) but I’m struggling to determine the correct SAS codes for graphing this interaction. I have read up many SAS articles but have not found something that meets my needs.
I would really appreciate if you’d please point me in the right direction by providing a sample SAS code to graph the above interaction as well as any sources/literature that deals with this issue. I am using SAS 9.3.
Thank you in advance for your assistance!
Best,
Elizabeth
Have you tried the ODS Graphics plots associated with GENMOD? What happens with PLOTS=PREDICTED? You may have to re-order as this gives the predicted values as a function of observation number. Otherwise, this will turn into a project involving either the OUTPUT statement or ODS OUTPUT, followed by SGPLOT.
Steve Denham
Thanks, Steve! I'll check these out.
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!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.