Date: Thu, 22 Jan 2004 15:07:40 -0800
Reply-To: Dale McLerran <stringplayer_2@YAHOO.COM>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Dale McLerran <stringplayer_2@YAHOO.COM>
Subject: Re: Appropraiteness of PROC GENMOD
In-Reply-To: <A7D4140CA0A3D24CA55F8A4495F1B251037CACBD@argon.dcri.duke.edu>
Content-Type: text/plain; charset=us-ascii
In general, I agree with the comments Venita posts to SAS-L. In
this particular case, I have to respectfully disagree. I have
essentially quit use of PROC GLM in favor of either GENMOD or
MIXED for normally distributed responses. In fact, it is the
procedure MIXED which I advocate for >95% of problems where
the response is normally distributed. Actually, I should throw
the procedure NLMIXED in here as well. It is able to handle
some problems that the MIXED procedure cannot deal with,
although I would have to say that none of the problems which
would require NLMIXED over the procedure MIXED are of the
simple normally distributed response variety.
Dale
--- "DePuy, Venita" <depuy001@DCRI.DUKE.EDU> wrote:
> Have you considered Proc GLM?
> I think it's easier to comprehend than Genmod (at least to me) and it
> will
> handle the Repeated option.
> Just a quick thought.
> -Venita
>
> > ----------
> > From: Cacialli, Doug[SMTP:Doug_Cacialli@URMC.ROCHESTER.EDU]
> > Reply To: Cacialli, Doug
> > Sent: Thursday, January 22, 2004 5:21 PM
> > To: SAS-L@LISTSERV.UGA.EDU
> > Subject: Appropraiteness of PROC GENMOD
> >
> > Y'all,
> >
> > I'd like to open with an apology for my statistical ignorance here
> ... I'm
> > not extremely savvy with complex analyses. I'm needing to do some
> > regression analyses on the effects of five independent variables,
> four of
> > which are continuous and one of which is categorical, on number of
> > episodes
> > of a given disorder (which is obviously continuous).
> >
> > My first instinct was to run PROC LOGISTIC on account of the
> categorical
> > independent variable, but as the dependent variable isn't
> categorical, I'm
> > under the impression that PROC LOGISTIC would be inappropriate.
> I've been
> > using PROC GENMOD lately with the assistance of a consultant with
> much
> > more
> > training than I, and it occurred to me that a generalized linear
> model
> > might
> > work here. I threw this together:
> >
> > proc genmod data = work.ANALYSIS_I;
> > class FAMILY_ID SEX;
> > model N_EPISODES = ONSETAGE_MDD ONSETAGE_FIRST SEX
> AGE_AT_T1;
> > repeated subject = FAMILY_ID/corr=cs corrw;
> > run;
> >
> > The repeated subject = FAMILY_ID takes the relation between certain
> > subjects
> > (these data were originally collected as part of a longitudinal
> family
> > study).
> >
> > My question, in short, is if this is a legit use of PROC GENMOD.
> And if
> > it's not, can someone suggest an appropriate tool?
> >
> > I've received a bit of help on a number of different issues from
> SAS-L
> > lately. Thank you all for your help, past and present. I'm
> learning so
> > much ... it's greatly appreciated.
> >
> > Doug out.
> >
> > -------------------------------------------
> > Doug Cacialli - Data Manager / Data Analyst
> > Depression Research Laboratory
> > University of Rochester Medical Center
> > 300 Crittenden Boulevard - Box PSYCH
> > Rochester, New York 14642
> > Phone: (585)273-3309 Fax: (585)506-0287
> > -------------------------------------------
> >
=====
---------------------------------------
Dale McLerran
Fred Hutchinson Cancer Research Center
mailto: dmclerra@fhcrc.org
Ph: (206) 667-2926
Fax: (206) 667-5977
---------------------------------------
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