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st: Re: Analysis of proportion as the dependant variable


From   "Scott Merryman" <smerryman@kc.rr.com>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: Re: Analysis of proportion as the dependant variable
Date   Sun, 22 Jun 2003 11:22:54 -0500

----- Original Message ----- 
From: "Drora Fraser" <fdrora@bgumail.bgu.ac.il>
To: <statalist@hsphsun2.harvard.edu>
Sent: Sunday, June 22, 2003 6:57 AM
Subject: st: Analysis of proportion as the dependant variable


> We have data on proportion of children stunted at age 1 from 13
> locations, for each of 3 years for boys and girls.
> We wish to examine the association between stnting and hospitalization,
> at the level of the location, contrlling for year, sex and other
> factors.
> Which of the 3 is the correct analysis: 1. multivariable regression, 2.
> XT-GEE regression with (group variable=location, link=log,
> family=poisson) 3. Poisson regression.
> We would appreciate an answer or a link to anyone who might be able to
> help us.
>
> Drora Fraser
> Ben-Gurion University
>

One possibility may be -glogit- or -gprobit- since the data grouped even
though the underlying model is discrete, but the observed dependent variable
is a proportion.

 I don't believe poisson would be appropriate since you do not have count
data.

Hope this helps,
Scott



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