Hello, I am estimating a regression model predicting the odds of openness to PREP among foreign born and American born persons at two settings: clinic and community.

so the population is stratified into two groups: nativity and location.

i want to be able to account for these differences. I can combine all the data and then include dummy variables for each group (foreign vs native) and location (clinic vs community).

Is this the most optimal approach or do we have to do an HLM?

thanks, Yy