Means tables from ANCOVA in SurveyReg

[LindaW]

Using SAS Survey:

How can I get a means table of the data resulting from an ANCOVA in proc surveyreg? I'm trying to find the variable means that result when a regression of two variables is controlled for gender (or age or another variable). I can't seem to build appropriate syntax. Any ideas?

[art297]

I'd think they are provided in one of the ODS tables (see: http://support.sas.com/documentation/cdl/en/odsug/61723/HTML/default/viewer.htm#a002649072.htm )

Note: Surveyreg is in the second section of the page, under the SAS/Stat procs.

[art297]

I probably shouldn't have posted a response as I have never used the proc.  However, that said, wouldn't specifying contrasts provide what you want or, if not, proc surveymeans?  Take a look at: http://support.sas.com/rnd/app/papers/survey.pdf

[LindaW]

Thank you so much for trying to help me with this. The thing is, I need to tell SAS to provide adjusted means based on the ANCOVA and I can't see how to write that request. If I use the standard surveymeans request, the response is the unadjusted means. I can't understand how to tell SAS to provide adjusted means in SAS Survey.

[SteveDenham · Accepted solution]

Linda,

Have you specified an LSMEANS statement?

From what you have presented, I assume you have something like:

proc surveyreg data=have;

strata sex;

class sex;

model depvar=sex othervar sex*othervar/solution;

weight weight;

run;

Add the LSMEANS statement that looks something like the following, and it should give you marginal means, adjusted for the covariate 'othervar'.  Note that these are predicted marginals for a hypothetical balanced population.

proc surveyreg data=have;

strata sex;

class sex;

model depvar=sex othervar sex*othervar/solution;

weight weight;

lsmeans sex;

run;

There are several options available to the LSMEANS statement that you might want to explore.  Also, I specified a model that had different slopes for each sex in the ANCOVA--you may wish to fit a common slopes model which would not include the interaction term.

Good luck.

Steve Denham

[LindaW]

This works perfectly! Thanks, Steve!!