You can do this with proc mianalyze, I believe. You need to use ODS to save the parameters (and the covb matrix, depending on what tests you want) and then you can use MIanalyze.
Jeremy 2009/11/11 David Judkins <[email protected]>: > Well, I think this is the first question to the group since list ownership > changed. I wonder how many people are signed up now? It hasn’t been a very > active list for a long time. Anyway, here is my question. > > > > I have a dataset with multiple imputations. It is from a five-arm GRT. One > arm is a control and the other four are active. I want to test for > variation in mean responses across the four active arms. Proc Mixed will > give me a test statistic based on each multiple imputation. But how do I > combine these? > > > > One of colleagues found something in the HLM manual that would suggest that > the replicates of test statistics other than t-statistics are averaged with > no attention paid to the variability among them. Sound accurate about > HLM? Is that the best we can do? > > > > > > > > David Judkins > Senior Statistician > Westat > 1650 Research Boulevard > Rockville, MD 20850 > (301) 315-5970 > [email protected] -- Jeremy Miles Psychology Research Methods Wiki: www.researchmethodsinpsychology.com
