Hello, SAS Support, I have read about this issue in other PROC statements and have attempted their solution but it does not seem to be applying here. I am getting error messages that my categorical variables are not in my COVB dataset, and I'm unclear why. I can see them on the covariance matrix generated by the earlier code (in Results Output) but once I hit the PROC MIANALYZE statement, it stops with that error message. Here is the setup code, with ** bracketing substitutions to deidentify statements. ods trace on; ods graphics off; proc surveylogistic data=**mydataset**; strata *stratavariable*; cluster *clustervariable*; weight *weight variable*; class race (ref='0') gender (ref='0') insurance (ref='0') ; model *outcomevariable* (event='1') = race age gender educationcat2 educationcat3 educationcat4 educationcat5 insurance / covb; by _imputation_; domain *subpopulation*; ods output covb = covdata; ods output parameterestimates=parmdata; run; This runs with no errors. Then I run the next step: proc print data=covdata; where domain="*Subpopulation Indicator*"; run; data covdata; set covdata; where domain="*Subpopulation Indicator*"; run; proc print data=parmdata; where domain="*Subpopulation Indicator*"; run; data parmdata; set parmdata; where domain="*Subpopulation Indicator"; run; Again, this runs fine with no errors and all variables are in those datasets. Then comes the proc statement - proc mianalyze parms (classvar=level)=parmdata covb (effectvar=stacking)=covdata; /***note: after reading the solution to another problem, I added the (classvar=level) and (effectvar=stacking) here - running with or without both produced errors*/ modeleffects intercept race age gender educationcat2 educationcat3 educationcat4 educationcat5 insurance; test educationcat2=educationcat3=educationcat4=educationcat5=0/mult; run; Any suggestions? Do I need class statements in both the proc surveylogistic and the proc mianalyze steps? do I need the CLASSVAR and EFFECTVAR statements before creation of the parmdata and covdata? Thanks in advance for your suggestions!
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