Date:         Thu, 18 Jan 2007 09:21:55 -0600
Reply-To:     baogong jiang <bgjiang@GMAIL.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         baogong jiang <bgjiang@GMAIL.COM>
Subject:      Re: proportions test in SAS
Comments: To: David L Cassell <davidlcassell@msn.com>
In-Reply-To:  <BAY103-F650CD2C5691D4B698DA8AB0AA0@phx.gbl>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed

Thanks everyone, I will study  Lars' post  again and read some stat books.

regards,
baogong


On 1/18/07, David L Cassell <davidlcassell@msn.com> wrote:
>
> bgjiang@GMAIL.COM wrote back:
> >
> >On 1/17/07, LWn <lars.wahlgren.withoutthispart@stat.lu.se> wrote:
> >>
> >>Or perhaps this is what you're looking for:
> >>
> >>proc freq data=data ;
> >>weight recip_no ;
> >>table region*race
> >>     / nopercent nocol chisquare ;
> >>run ;
> >>
> >>HTH / LWn
> >>
> >>"baogong jiang" <bgjiang@GMAIL.COM> skrev i meddelandet
> >>news:cabe11870701161316v6dcc790bha718f86f0bbba2b9@mail.gmail.com...
> >> > Hello:
> >> >
> >> > Anyone knows how can I test if the proportion of the race is
> different
> >>in
> >> > all the regions?
> >> > my data:
> >> >
> >> > DATA DATA;
> >> > input region $ race $ recip_no;
> >> > CARDS;
> >> > region1 white 850
> >> > region1 black 250
> >> > region1 other 120
> >> > region2 white 889
> >> > region2 black 212
> >> > region2 other 125
> >> > region3 white 550
> >> > region3 black 150
> >> > region3 other 80
> >> > region4 white 1520
> >> > region4 black 1250
> >> > region4 other 120
> >> > ;run;
> >> >
> >> >
> >> > thank you,
> >> >
> >> > baogong
> >>
> >
> >
> >
> >--
> >Baoogng Jiang
> >Department of Agronomy
> >Lousisana State University
>
> >
> >Thank you all for your suggestions. May be I did not describe my problem
> >clearly, I am looking for an ANOVA like test to test the hypothesis: the
> >proportions of different race (white, black, other) in different regions
> >are
> >the same.
> >
> >
> >
> >Can I use Logistic regression to test this hypothesis by considering race
> >(white, black, other)  as multinomial outcome.
> >
> >
> >
> >*proc* *logistic* data=data rorder=data;
> >
> >class region ;
> >
> >model race=region;
> >
> >weight recip_no;
> >
> >*run*;
> >
> >
> >
> >or Can I use proc genmod to test the hypothesis like the following code:
> >
> >*proc* *genmod* data=data rorder=data;
> >
> >      freq recip_no;
> >
> >      class region;
> >
> >      model race = region / dist=multinomial
> >
> >                            link=cumlogit
> >
> >                            aggregate=region
> >
> >                            type3;
> >
> >*run*;
> >
> >
> >
> >Thank you very much,
> >
> >baogong
> >
>
> Perhaps you did not understand Lars' post completely.  His
> code in PROC FREQ specifically looks at whether your RACE
> variable has counts which are independent of your REGION
> values.  That seems to be exactly what you are asking for.
>
> Of course, if your data come from a sample survey, then PROC
> FREQ - and PROC GENMOD and PROC LOGISTIC and ... - should
> not be used.  Instead, you would need to use one of the SAS
> survey analysis procs.
>
> HTH,
> David
> --
> David L. Cassell
> mathematical statistician
> Design Pathways
> 3115 NW Norwood Pl.
> Corvallis OR 97330
>
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--
Baoogng Jiang
Department of Agronomy
Lousisana State University