Hi everyone, I have fit an imputation model for complex survey data that I am working with. I ran the imputation in Stata and have been doing the analysis in Stata and Sudaan.
I am trying to understand what the issues are when analyzing a subsample of multiply imputed data that varies in size across imputations. The subsample is based on an imputed variable thus the reason for the slight variation across imputations is clear. Stata warns that this situation could "bias results" while Sudaan does not. Does anyone have thoughts on the implications of having estimation samples that vary across imputations when using a complex survey design? In both Stata and Sudaan, I am asking for SE to be computed using a Taylor linearization method. Thanks! -L -- Assistant Professor Northern Illinois University School of Nursing and Health Studies [email protected] Affiliated Scholar Chapin Hall at the University of Chicago [email protected] 773-256-5237
