Hello~
I want to explore the change in cognitive decline associated with air pollution exposure. I have two measurements of cognitive score (continuous variable) and multiple measurements of PM (continuous variable). My SAS code is as following:
proc glimmix empirical ;
class id;
model cognitive_score=PM year_air PM*year_air / dist=normal link=identity solution;
random intercept / subject=id;
run;
The individual effect of PM and year_air on cognitive change is significantly negative, but the effect of interaction term on cognitive change is significantly negative.
How I explain the interaction term? Should I plot the related plot to explain?
In addition, I found the intercept and the estimate of PM are too strange and too large when I put the variable of time (year_air) in the model. Why is it?
Did anyone can help me? Thank you.