Limiting Analysis in Logistic regression: Complex Survey Data

[SAS93]

I'm using proc survey logistic to find the odds ratios for a given dichotomous outcome given a particular variable of interest while also controlling for several other confounding variables (age, etc.). Needless to say, I'm using complex survey data, which leaves me with a problem. 

I'm trying to limit my analysis to a specific group of respondents (let's say people who bought ice cream in a cone and added chocolate sprinkles). For initial prevalence estimates, I'm using domain analysis. But I know with complex survey data, you're not supposed to set datasets using BY variables because it messes up the estimates; what is an option for running logistic regression while trying to limit the analysis to a certain group? Would also controlling for that specific variable--adding it alongside the others--work? Can I add it as a domain variable?  I have several variables I want to control for, so running proc surveyfreq with multiple cross-tabbed domains would be messy. 

[ballardw · Accepted solution]

Create a class variable to identify the population of interest with an additional level of "not interested", place the variable on the Domain statement, ignore the results for the "not interested" levels.

[SAS93]

Thank you! 

I guess I wasn't aware you could also use domain statements in regression analysis. I'm still new to the inter-workings of complex survey data, but this makes sense for sure. 

[SAS93]

Update: solved my own problem. 🙂 

I wasn't aware you could also use domain statements with regression. 

Note to anyone else who might have this issue in the future: you can.