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!
Related Posts with Post hoc analyses after multi-nominal regression
converting Risk ratio from quantiles to tertilesI am Hatem Ali We summarize the associations corresponding to the top versus bottom third of the bas…
How to change a numeric variable to string variable? Tostring and decode code don't work.Dear all, I am trying to dealing with the following problem: There is a numeric variable in my datas…
Generating a categorical variableHi statalist, I am trying to generate a categorical variables using seven dummy variables that iden…
Histogram, wrong y-axisHi guys, I created a histogram, but the y-axis is wrong. I need the assets on the x-axis and the nu…
converting Risk ratio from quantiles to tertilesWe summarize the associations corresponding to the top versus bottom third of the baseline FGF-23 co…
Subscribe to:
Post Comments (Atom)
0 Response to Post hoc analyses after multi-nominal regression
Post a Comment