Date:         Fri, 19 Sep 2003 12:00:59 -0500
Reply-To:     Paul Thompson <paul@WUBIOS.WUSTL.EDU>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Paul Thompson <paul@WUBIOS.WUSTL.EDU>
Organization: Washington University in St. Louis
Subject:      Re: Multinomial Logistic Regression?  Question
Content-Type: text/plain; charset=us-ascii; format=flowed

Meg A. wrote:
> Hello!  I am interested in developing a propensity score for  each
> person in my sample.  I am planning on doing so by predicting drug use
> (multi-level categorical variable) with several independent variables
> to assess the comorbidity burden of the patients.  So in the model, I
> will have maybe 7 independent vars predicting the multi-level drug
> use.  From that I would like to find the predicted probablity (using
> the beta weights from the above model).  I am familiar with the way to
> do this using GLM, but since my dependent var is multinomial, I am
> assuming logistic regression.  Can anyone tell me if this is correct,
> or would something like catmod me more appropriate.  Also I have been
> looking how to output the predicted values, but cannot seem to nail it
> down?  Any help would be greatly appreciated!!
>
> Thanks in advance!
> Meg

I suggest you look at GENMOD.  It should be a very useful alternative to
  LOGISTIC approaches.