/****************************************************************/ /* S A S S A M P L E L I B R A R Y */ /* */ /* NAME: gmxgs1 */ /* TITLE: Getting Started Example for PROC GLIMMIX */ /* Logistic regression with random intercepts */ /* PRODUCT: STAT */ /* SYSTEM: ALL */ /* KEYS: Generalized linear mixed models */ /* Binomial data */ /* PROCS: GLIMMIX */ /* DATA: */ /* */ /* SUPPORT: Oliver Schabenberger */ /* REF: */ /* MISC: */ /****************************************************************/ data multicenter; input center group$ n sideeffect; datalines; 1 A 32 14 1 B 33 18 2 A 30 4 2 B 28 8 3 A 23 14 3 B 24 9 4 A 22 7 4 B 22 10 5 A 20 6 5 B 21 12 6 A 19 1 6 B 20 3 7 A 17 2 7 B 17 6 8 A 16 7 8 B 15 9 9 A 13 1 9 B 14 5 10 A 13 3 10 B 13 1 11 A 11 1 11 B 12 2 12 A 10 1 12 B 9 0 13 A 9 2 13 B 9 6 14 A 8 1 14 B 8 1 15 A 7 1 15 B 8 0 ; proc glimmix data=multicenter; class center group; model sideeffect/n = group / solution; random intercept / subject=center; run; ods select lsmeans; proc glimmix data=multicenter; class center group; model sideeffect/n = group / solution; random intercept / subject=center; lsmeans group / cl ilink; run;