Hi Everyone, I need some help obtaining parameter estimates in the data scale from proc genmod estimates. Race is a class variable with 3 levels and I would like to get the mean difference in the outcome between races in the data scale. I tried using the  ilink option but that is not supported with reference coding. below is the code:   proc genmod data=b; class race ins esi htype/ param=reference; model hlos=race ins esi htype CC/ dist=normal link=log; run; ... View more

Hello, I am trying to model a continuous outcome variable which is highly skewed. I have several predictor variables in the model both continuous and categorical. The q-q plot of the residuals is shown below. As you can see, the normality assumption is clearly violated. I tried log transforming the outcome variable but it doesn't seem to fix the problem. Any body has an idea of how to remedy this issue ? Does the central limit theorem apply here? Thanks. Here is the code used: proc glmselect data=b; class a b  c d e / param=reference; model y=a  b c d e f ; output out=check r=residuals; run;   proc univariate data=check; var residuals; histogram residuals / normal kernel; qqplot residuals / normal(mu=est sigma=est); run;                 ... View more