As statelog increases 1.5370%, logged outcome would increase 1%. 1) Is there a way to convert this data in PROC GLIMMIX so that I can just interpret as increase in statelog = increase in 1 unit of logged outcome. I read about using lsmeans and ilink b The DESCENDING option in the PROC GENMOD statement causes the response variable to be sorted in the reverse of the order displayed in the previous table. For more information on sorting order, refer to the chapter on the SORT procedure in the SAS Procedures Guide . To use PROC PLM you must first use the STORE statement in a regression procedure to create an item store that summarizes the model. The following procedures support the STORE statement: GEE, GENMOD, GLIMMIX, GLM, GLMSELECT, LIFEREG, LOGISTIC, MIXED, ORTHOREG, PHREG, PROBIT, SURVEYLOGISTIC, SURVEYPHREG, and SURVEYREG.

May 01, 2019 · SAS regression procedures support several parameterizations of classification variables. When a categorical variable is used as an explanatory variable in a regression model, the procedure generates dummy variables that are used to construct a design matrix for the model. Nancy, The %GLIMMIX macro invokes many calls to PROC MIXED, which estimates a residual parameter (essentially estimating overdispersion). The GLIMMIX procedure sets this parameter equal to 1 by default, so you have two choices: enter PARMS (0.2) (1) / hold=2; into the %GLIMMIX macro or enter RANDOM _residual ; into the GLIMMIX proc step.