Thanks but I don't have any class variables. That's what messed me up. Paul
Paul R. Swank, Ph.D., Professor Health Promotions and Behavioral Sciences School of Public Health University of Texas Health Science Center Houston ________________________________ From: Impute -- Imputations in Data Analysis [[email protected]] On Behalf Of David Judkins [[email protected]] Sent: Thursday, October 25, 2012 12:53 PM To: [email protected] Subject: Re: Proc MIANALYZE If you are imputing categorical variables with PROC MI, you probably want to use the FCS method available in 9.3. If you only have 9.2.2, I think IVEware will do a better job on categorical variables. Not sure though about how to feed variance components into GLM. --Dave Judkins Abt Associates From: Impute -- Imputations in Data Analysis [mailto:[email protected]] On Behalf Of Swank, Paul R Sent: Thursday, October 25, 2012 1:22 PM To: [email protected] Subject: Proc MIANALYZE 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 ________________________________ This message may contain privileged and confidential information intended solely for the addressee. Please do not read, disseminate or copy it unless you are the intended recipient. If this message has been received in error, we kindly ask that you notify the sender immediately by return email and delete all copies of the message from your system.
