We analyze data from a European survey (34 countries ) for quality of life , the sampling procedure is described as a " multi-stage stratified and clustured sampling design " . Our outcome variable is binary.
There are three levels of data to be taken into account (individuals, regions, countries). I have read a few things about these procedures, some suggesting that proc glimmix should be used ( since one can take into account the three levels of data ), but also others stating that one should apply proc survey logistic, since the parameters Estimates might otherwise be biased . However in this procedure, one cannot consider the different levels of data. I am not an expert in SAS, so I am unsure which proc would give me unbiased estimates.
Can you make a recommendation, which procedure should be used? Or another procedure?
Thank you for your help in advance!
There are three levels of data to be taken into account (individuals, regions, countries). I have read a few things about these procedures, some suggesting that proc glimmix should be used ( since one can take into account the three levels of data ), but also others stating that one should apply proc survey logistic, since the parameters Estimates might otherwise be biased . However in this procedure, one cannot consider the different levels of data. I am not an expert in SAS, so I am unsure which proc would give me unbiased estimates.
Can you make a recommendation, which procedure should be used? Or another procedure?
Thank you for your help in advance!