Hi, thank you for your quick reply! No the missing values are not coming from the skipped pattern of BRFSS. These are questions that for their nature (e.g., income) people tend not to answer during a survey. As for the survey weights, I scaled the weights following the approach outlined by Asparouhov (2006) to make sure they are appropriate for their use if MLM. The issue that I am having is that PROC MIANALYZE does not pool LR statistics nor AIC values, which are needed to determine overall model fit. Thus, I am wondering what the best approach to assess model fit is when working with imputed data.
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