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RE: st: Modeling % data


From   Marlis Gonzalez Fernandez <mgonzal5@jhmi.edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Modeling % data
Date   Wed, 22 Sep 2010 11:24:43 -0400

Here are some details:

The outcome measure is a % error in a language test (0-100)

Predictors:
We need to adjust for variables that may affect performance in the test such as age, or amount brain that is dysfunctional (mm^3).
Interested in knowing if Education (in years) is associated with deficits in the language test.

Hope this helps.

M

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Michael McCulloch
Sent: Wednesday, September 22, 2010 11:13 AM
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: Modeling % data

Yes, Marlis, more details would help, as suggested in Nick Cox's  
recent posting on how your question would be most likely to get answers:
http://www.stata.com/statalist/archive/2010-09/msg00922.html	


On Sep 22, 2010, at 8:03 AM, Marlis Gonzalez Fernandez wrote:

> My outcome variable is a % (% error in a language test).  We do have  
> many 0 and 100.  I need to be able to do a multiple regression to  
> adjust for known predictors of the variable vs. the predictors of  
> interest.
>
> It was suggested that I use qreg.  I've done so and it seems to  
> work.  Any thoughts?  I can provide more details if necessary.
>
>
> Thanks!
>
>
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> *   http://www.ats.ucla.edu/stat/stata/


Best wishes,

Michael McCulloch, LAc MPH PhD
Pine Street Foundation
124 Pine Street
San Anselmo, CA 94960-2674
tel:	415-407-1357
fax: 	206-338-2391

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