Hi,
I am working with exclusively binary and categorical variables where almost all of them have missing data.
So, I am using the PROC MI with the FCS statement to impute them.
I have several nominal variables to impute but I can't figure out the difference between using the statement logistic(,link=glogit) or discrim(, classeffects=include) knowing that none of my effects are continuous. The results aren't the same for these methods but I can't understand what is the difference and which one should I use ?
Thanks for your help ! Let me know if you need more details
Andréa
Someone who would have an idea please ?
Hi,
You may find the below link useful in understanding the difference.
Good luck!
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Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
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