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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
Comments: To: "DePuy, Venita" <depuy001@DCRI.DUKE.EDU>
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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