I think it is better to use COVB or EST type data set as input into PROC MIANALYZE. Have you tried that?
Raghu On Thu, Oct 25, 2012 at 1:22 PM, Swank, Paul R <[email protected]>wrote: > I recently ran an imputation analysis in SAS using Procs MI and MIANALYZE. > The imputations worked fine. The problem is a general linear model with > multiple predictors and interactions. The problem is when I read the > documentation for using MIANALYZE with GLM, it said to output the > parameters and the inverse of X’X. I did this but MIANALYZE kept saying > that I couldn’t use inverse(X’X) with categorical variables, although I did > not include a class statement in my GLM. When I looked at the output files > created by ODS, the parameter estimates had all the variable names listed > without problem but the inverse X’X file had renamed all the interaction > terms as dummy001, dummy002, etc. I don’t know why that is or why it > wouldn’t work. I do know that if I dropped the inverse X’X statement from > MIANALYZE, it worked. Does anyone know what is going on here. **** > > ** ** > > Paul**** > > ** ** > > Dr. Paul R. Swank, Professor **** > > Health Promotion and Behavioral Sciences**** > > School of Public Health**** > > University of Texas Health Science Center Houston**** > > ** ** > -- Trivellore Raghunathan (Raghu) Chair and Professor of Biostatistics School of Public Health Room M4208 1415 Washington Heights University of Michigan Ann Arbor, MI 48109 Phone: (734) 615-9832 Fax: (734) 615-7068 "A good life is filled with selfless actions full of compassion knowing well that we are all one"
