```Date: Sun, 20 May 2001 09:50:44 -0400 Reply-To: Jay Weedon Sender: "SAS(r) Discussion" From: Jay Weedon Organization: http://extra.newsguy.com Subject: Re: Group Mean Comparisons Content-Type: text/plain; charset=us-ascii You can't directly compare the two means if you have overlap. One suggestion might be to discard cases with both DEP=1 & DYS=1. Or consider THREE groups: (DEP=1,DYS=0), (DEP=0, DYS=1), (DEP=1, DYS=1). Or even four groups if you have people with DEP=0 DYS=0. Make a new grouping variable GROUP coded 1,2,3 or whatever, and use code such as PROC GLM; CLASS GROUP; MODEL BP=GROUP; Another possible way of looking at the data if there are four groups is factorial ANOVA - examine the joint effect of DEP & DYS on BP: PROC GLM; CLASS DEP DYS; MODEL BP=DEP|DYS; Jay Weedon. On 20 May 01 03:47:50 GMT, gongfang@EXCITE.COM (Judy Xu) wrote: >Dear All: > >This should be simple, but I don't know how to do it: I want to take poeple >who have different types of psychiatric disorders and test mean differences >between each on the subscales of health outcomes. > >For example, "Depression" (DEP) is a dummy variable with 1=having >depression disorder and 0=no depression disorder. The same is for >the "Dysthymia" variable: 1=having dysthymia and 0=no dysthymia. "Bodily >pain" (BP) is a continuous variable from 1-100. Suppose the mean score of >bodily pain (BP) for people with depression (DEP) is 72 while the mean of >BP for people with Dysthymia is 68. How could I find out whether the 2 >mean scores are significantly different from each other? What is the SAS >code for this? The trouble is that there is overlapping between people who >have depression and those who have dysthymia. I tried the GLM procedure, >but it didn't work. Any help will be greatly appreciated! > >Thanks, Judy ```

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