Hi all, I'm a new user of Proc Glimmix and I would like to specify a multi-level logistic model by using this procedure. The Data set I use is BRFSS. (Cluster sampling weight) From 2011 - 2014.  The dependent variable is either "Ever been tested" or "Tested in the past 12 month" . Also these two variables are dummy variables.  The data set only contain one global weight for each observation.(_LLCPWT) Years(2011, 2012, 2013, 2014) are level 2 variables in my model.   Currently my codes are as follows: proc glimmix data=xxx.test method=quadrature(qpoints=7) empirical=classical;     Class year;          model "Dependent variables"  =  "Here will be the independent variables"            /                                                                    dist=binomial link=logit obsweight = _LLCPWT solution CL ODDSRATIO (DIFF=FIRST LABEL);     random intercept / subject=year cl; run;   Just wondering is there any suggetion of my code? Thank you very much!         ... View more