Dear All,
I have a dataset, wherein the outcome variable is a four level nominal variable and the predictor variables are both categorical and continuous with varying levels of missing ness. I am using SAS proc MI to create 5 multiply imputed datasets, and then use PROC LOGISTIC with the link=glogit option to fit models to the generalized logits. For each imputed dataset I am able to obtain an estimate corresponding to each generalized logit(For the intercept and all predictor variables).
However when I use PROC MIANALYZE to combine the parameter estimates from the 5 imputed datasets, instead of getting a combined estimate for each logit I get just one single estimate i.e. In the individual imputed datasets I get parameters estimates for the intercept corresponding to the 3 logits (since the outcome variable is 4 level), however proc MIANALYZE gives me a single estimate just one estimate for the intercept.
I am not sure if this is because PROC MIANALYZE does not support logistic regression for a nominal variable or whether I am doing something wrong.
If any of you has come across this issue in SAS or can advise an alternative way of doing this, I'd appreciate it.
Thanks,
Jasmine
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