I am running a mixed model in SAS using PROC glimmix, to analyze longitudinal count data (Poisson distribution, autoregressive covariance structure), and would like to produce fixed effect estimates for the continuous predictors in my model. I am working with the following code:
proc glimmix data = activedata; class id time; model DV = time var1 var2 var3/ dist=POISSON; random _residual_; random intercept var1 var2 / subject=id type=un; random time / subject=id type=ar(1) residual; run;
This code runs without error and produces the expected "Type III tests of Fixed Effects" table (which gives F- and p-values), but I also need to estimate coefficients, standard errors, t- (or Wald), and p-values, as usually produced in the "Solutions for Fixed Effects" table. Any help for code that would help to produce these estimates (or why I will/should not be able to produce them) would be greatly appreciated!