Date:         Fri, 18 Aug 2006 08:24:05 +0300
Reply-To:     BoraYavuz@HSBC.COM.TR
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Bora Yavuz <BoraYavuz@HSBC.COM.TR>
Subject:      How to fit logistic regression model with muliple responses
Content-type: text/plain; charset=windows-1254

Hello,

I guess you can deal with the situation with PROC LOGISTIC.  If your
response is ordered nominal -- i.e., something like 0, 1, 2, 3, etc. then
there is no need to fiddle with the link function.  If, however, your
response is not ordered (say Fish, Cat, etc.) one needs to employ
"generalised logits" which in turn requires that the "GLOGIT" link function
be specified.  I also think PROC CATMOD can handle the situation but I
haven't used it for a multiple-response case yet.

In any case we should ask an expert.  Well, David?

HTH,

Bora Y.

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Date:    Thu, 17 Aug 2006 19:38:35 -0400
From:    Roger Johnson <roger_johnson555@YAHOO.COM>
Subject: How to fit logistic regression model with muliple responses

I know how to use PROC GLM to fit MANOVA. However, right now I receive a
case which contains multiple responses. Those responses are not time-
variated, but some different indicators from each participant. I think GEE
it not a good way to deal with this case because this is not truely
repeated measurement. I googled some papers about this topic, but most of
them using the term "multivariate logistic regression model" do not use
multiple responses, but multipe dependent variables. PROC GENMOD can't use
multiple responses in its model statement. Does any expert have good ideas
about how to fit this kind of model?

------------------------------

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