I know how to use proc surveyfreq and specify the chi-sqare (chisq) option for looking at associations.
I usually use the Rao-Scott chi-square output, even for multi-way tables. I've never been taught/told not to, but is this actually correct? Is there some other way to specifically look at tables bigger than 2-way tables?
If one variable is a response variable and the others are predictors of that response, then this is usually done by logistic regression. So, you could use PROC SURVEYLOGISTIC.
SURVEYFREQ does not have a test that is analogous to the CMH test in Proc FREQ. I have not seen much discussion of this in the survey sampling literature. Essentially it will treat each level of the third (or fourth, etc.) variable as a separate domain and perform a Chi-Square test on each unique two-way table
This in turn makes @StatDave 's suggestion regarding SURVEYLOGISTIC about the only alternative. Including an interaction term should provide an approximation to a CMH analysis.
SteveDenham
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.