I am wondering whether proc glimmix or proc surveylogistic is the right proc for our analysis. 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. Can you make a recommendation, which procedure should be used? Additionally, we are considering to perform a multiple imputation for missing values (we have just a small amount of missing data in our regular variables, but want to adjust for one variable that has missing data of 23%). Proc Mianalyze needs, as I have read, the parameter Estimates and Covariance Matrices , which at least in proc glimmix is not part of the output by default. How does it work with proc surveylogistic? Thank you for your help in advance!
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