Post hoc analyses after multi-nominal regression

[Akbar Ghiasi]

Hello,

I have a dataset with a categorical outcome variable (strategy) that includes four groups. I also have three continuous (per_capita, unemployment, and hospitalsize) and three dummy variables (ownership, teaching, and membership) to predict the probability of using each of the four strategies. My data is longitudinal and I am using the Generalized Estimation Equation model. Here is my basic model:

proc gee data=paper2.strategy;
Class code year ownership (ref="0") membership (ref="0") teaching (ref="0");
model strategic_group1= per_capita unemployment hospitalsize ownership teaching membership / dist=multinomial link=glogit;
repeated subject= code/ within=year;
run;

My question is how can I conduct post hoc analyses to compare the resulted coefficients among four strategies for both continuous as well as dummy variables?

Thank You!

[Joseph Coveney]

Welcome to Statalist. I'm not sure how you ended up alighting here, but your code example is for another brand of software. You might want to take a look at the resources listed here (scroll down until you come to those for SAS) to see whether there is a more appropriate forum for your question.

[Akbar Ghiasi]

That's true, this is not the right forum for this question!