I have a repeated-measurement data including 1.8 million observations, and each individual contains more than one recording. I wonder to explore the relationship between outcome and exposure using PROC GLIMMIX, like this: proc glimmix data=mydata;
class id stage;
model outcome=exposure confoundings / solution cl;
random int / subject=id(stage);
run; But, SAS log specified an error that is "Model is too large to be fit by PROC GLIMMIX in a reasonable amount of time on this system. Consider changing your model." I want to know if could I use PROC GENMOD+REPEATED instead to fit my model. proc genmod data=mydata;
class id source;
model outcome=exposure confoundings ;
repeated subject=id /within=stage;
run;
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