BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
Lijuu
Obsidian | Level 7

Dear All:

I want to plot observed vs predicted data, that estimated using PROC GEE , to check whether my model is

good fit of the data or not.

How can i access these predicted data from the estimated model using proc GEE? the code am using is given below.

 

Proc gee data=halu;

class blu;

model y/n=blu filk mak/dist=bin;

repeated subject=id/type=cs;

run;

 

Thanks alot.

1 ACCEPTED SOLUTION

Accepted Solutions
Lijuu
Obsidian | Level 7
Dear Rick!
Thank you much!!

View solution in original post

2 REPLIES 2
Rick_SAS
SAS Super FREQ

use the OUTPUT statement to store the predicted probabilities in a data set.  Since you are fitting a binomial model with event/Trials syntax, I assume you want to use the observed proportions as the "observed data"?

 

Proc gee data=halu;
   class blu;
   model y/n=blu filk mak/dist=bin;
   repeated subject=id/type=cs;
   output out=GEEOut predicted=Pred;
run;

data Score;
set GEEOut;
ObsProb = y / n;   /* form observed proportions */
run;

proc sgplot data=Score;
scatter x=Pred y=ObsProb;
run;
Lijuu
Obsidian | Level 7
Dear Rick!
Thank you much!!

sas-innovate-2024.png

Join us for SAS Innovate April 16-19 at the Aria in Las Vegas. Bring the team and save big with our group pricing for a limited time only.

Pre-conference courses and tutorials are filling up fast and are always a sellout. Register today to reserve your seat.

 

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
  • 2 replies
  • 1220 views
  • 1 like
  • 2 in conversation