This RANDOM statement -- random Date/residual subject=blk(Trt*Rate Depth Trt*Rate*Depth Date Trt*Date Depth*Date Trt*Rate*Depth*Date)  type=vc; has an unusual specification of the subject effect. I wonder how your data looks like? And what happens if you comment out this statement? Thanks, Jill   ... View more

SEX is a CLASS variable so you either need to create a dummy variable for SEX and use that dummy variable in PROC REG, or use PROC GLM and a CLASS statement. For example, proc glm data=<yourdatasetname>; class sex; model value = sex age / solution; run; quit;   or   data yourdata;   set yourdata;   Male=(sex='M'); run; proc reg data=yourdata;  model value=male age; run; quit;   Hope this helps, Jill     ... View more

The concept of RMSE might not apply to models fit in PROC MIXED.  What is your PROC MIXED program for your repeated measures data and what is the output for the covariance parameter estimates table? Jill ... View more

I am not sure I understand your question. Sorry. Maybe you can provide your PROC MIXED program and relevant output? That might help me understand your question better. Thanks, Jill ... View more

The Solution for Random Effects table shows the "deviation" for each subject from the overall mean. So you would need to add the fixed effect solution (intercept) to these deviations to get the subject-specific intercept estimate. The following usage note provides some examples on this topic -- http://support.sas.com/kb/37109 Hope this helps, Jill ... View more

The STDCOEF option in the MODEL statement in PROC GLIMMIX gives you standardized betas, but they are not the same as what you get from STB in PROC REG.  STDCOEF centers the X's by subtracting the mean and dividing by the corrected sum of squares for that X (sum of (Xi - Xbar)**2).  That is the default centering and scaling that GLIMMIX does for all columns of X to improve numerical stability when estimating the model. The STDCOEFF in PROC GLIMMIX are computed differently than those in REG and it is okay that the standardized coefficients are greater than one. You can still look at the relative scale of the parameters to see what variables are important. I am not aware of a way you requested for models fit in PROC MIXED that accounts for correlations in the data. Thanks, Jill   ... View more

You might use PROC GLIMMIX to fit your model. There is a STDCOEF option in the MODEL statement in PROC GLIMMIX that might work for you. https://go.documentation.sas.com/doc/en/pgmsascdc/v_040/statug/statug_glimmix_syntax18.htm Thanks, Jill   ... View more

It seems to me that you would need to take TIME out of the CLASS statement if the "slope" is of your interest. ... View more

stddev= is the error standard deviation. Like the RMSE from an ANOVA model. weight is the cell weight. If you have a balanced data, you should ignore this. Otherwise you would need to have a weight variable in your exemplary data set WellnessMult, representing the sample size "ratio" for each group, then specify that variable in the WEIGHT statement. ... View more

What happens if you try a different estimation method, such as method=quad or method=laplace?   Thanks, Jill ... View more

You might use PARMS statement to specify your own starting values for the two variance components. For example, parms (0.1)(0.05); This could take several trial and error. Thanks, Jill ... View more

The error message indicated some convergence issues for your model. Your model might not be appropriate for your data, but from your description I am not sure how your data look like. Is it possible to display data for some of your schools? Thanks, Jill ... View more

This error message: At least one variable used in the model is not present or has incompatible type in the WORK.TIMEOUT score data set.  suggests that you might want to examine variables included in your modeling data set and this scoring data set TIMEOUT. Maybe do a PROC CONTENTS on both data sets to find the discrepancy.  Thanks, Jill ... View more

It means one-unit increase in X from mean to mean+1.   Thanks, Jill ... View more