I seeking your advice on whether SAS will be able to fit my model, and if so, which procedure.
My data has a three-level structure (country, community, individual) with a binary outcome variable at level 1, and main independent variable at level 2. The data was collected using two-stage complex sampling, hence I hope to incorporate stratification and sample weight in the model. Sampling strata is not being analysed as a separate level.
And if you have SAS/STAT14.1 installed, then PROC GLIMMIX has an example (45.18 Weighted Multilevel Model for Survey Data) that covers a two level model, and an example of a three level model using the quadrature method to fit the data (45.19 Quadrature Method for Multilevel Model), that has students, classes and schools. By combining the principles in these examples, I think you can get what you are after.
Secure your spot at the must-attend AI and analytics event of 2024: SAS Innovate 2024! Get ready for a jam-packed agenda featuring workshops, super demos, breakout sessions, roundtables, inspiring keynotes and incredible networking events.
Register by March 1 to snag the Early Bird rate of just $695! Don't miss out on this exclusive offer.