Hi all I am doing multiple imputation (specifically PROC MI with fcs statement). My incomplete data is a replication of a data set (say, I have incomplete datasets = 1000). The imputations run fine but when I try to pool for inference I get the following error ERROR: Within-imputation Estimate missing for variable intercept1 in _Imputation_= 1 in the input PARMS= data set. The missingness is only on one variable, the dependent variable which is categorical (y = 1, 2, 3, 4). So I have a linear predictor: eta = a_j + beta1*x1 + beta2*x2 + beta3*x3 + beta4*x4 + b , b ~ N(0, d) , j = 1, 2, 3, 4. I use PROC GLIMMIX to fit a mixed effect model, which runs fine with no errors. The problem comes when I invoke MIANALYZE. I get the error there up appended for the SAS code below. PROC MIANALYZE PARMS =glimparms; MODELEFFECTS intercept1 intercept2 intercept3 x1 x2 x3 x4; RUN; If i don't include intercepts, I get the beta estimates for the x's. i.e., for PROC MIANALYZE PARMS =glimparms; MODELEFFECTS x1 x2 x3 x4; RUN; Please someone help. Much regards
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