Dear Juned, Thanks for taking on the task of running this list serve.
In addition to the tips I got from other members, I found a SAS macro written by Paul Allison that was designed specifically to work with chi-square tests from multiply imputd datasets. It is based on a suggestion in Joe Schafer's book. Anyone have any experience with it? http://www.ssc.upenn.edu/~allison/combchi.sas --Dave ________________________________ From: Impute -- Imputations in Data Analysis [[email protected]] On Behalf Of Juned Siddique [[email protected]] Sent: Wednesday, November 11, 2009 4:38 PM To: [email protected] Subject: Re: Use of multiple imputations in hypothesis tests other than t-tests Dear David, Thank you for inaugurating the new list. We have 116 people subscribed to the new list. There were around 500 on the old list. We are hoping more will make the transition so we don’t end up losing so many people. We are planning on sending out a reminder message. -Juned Siddique From: Impute -- Imputations in Data Analysis [mailto:[email protected]] On Behalf Of David Judkins Sent: Wednesday, November 11, 2009 11:39 AM To: [email protected] Subject: Use of multiple imputations in hypothesis tests other than t-tests 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]
