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RE: st: Modeling % data
From
Marlis Gonzalez Fernandez <[email protected]>
To
"[email protected]" <[email protected]>
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: [email protected] [mailto:[email protected]] On Behalf Of Michael McCulloch
Sent: Wednesday, September 22, 2010 11:13 AM
To: [email protected]
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!
>
>
> *
> * For searches and help try:
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> * http://www.stata.com/support/statalist/faq
> * 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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* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/