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Re: st: Predicting sdres in stata
From
Lars Folkestad <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: Predicting sdres in stata
Date
Wed, 20 Jul 2011 14:28:18 +0200
Thank You For the swift answare.
I was indeed trying to predict the residuals for the regression model.
What i am trying to do is to adjust a Bone Density Value for the
participants Body surface area. Is there a better way to do this than
regression?
Will figure wich option fits best.
Lars
Den 20/07/11 14.19 skrev "Richard Goldstein" <[email protected]>
følgende:
> without knowing what depenVar1 and depenVar2 are, it is not possible to
> fully answer the question
>
> however, note that what you are asking for are the predicted values from
> the equation and this depends solely on the value of the constant and
> the value of the coefficient for BSA; apparently, these are "very
> similar" in the two regressions; do you mean to ask for the predicted
> values or are you trying to predict some kind of residual? if you want
> some kind of residual, you will need to add an option; see -h regress
> postestimation- and click on "predict"
>
> Rich
>
> On 7/20/11 8:05 AM, Lars Folkestad wrote:
>> Hi Stata Listers
>>
>> This is probably a simple question for you all. I just cannot see my way
>> through it.
>>
>> I am doing liniar regression for different variables as a way to adjust for
>> Body Surface Area. I do the following
>>
>> . regress depenVar1 BSA, vce(robust)
>> . predict sdres
>> . qnorm sdres
>> . swilk sdres
>> . predict adjdepenVar1
>> . drop sdres
>>
>> . regress depenVar2 BSA, vce(robust)
>> . predict sdres
>> . qnorm sdres
>> . swilk sdres
>>
>> The two swilks tests give the exact same p-value and the qnorm graf is
>> identical.
>>
>> I cannot understand how. For your information i am new to stata and
>> regression and my statistically knowledge is low.
>>
>> Why is the two swilks tests and qnorms the same?
>>
>> lars
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--
Lars Folkestad
Læge, PhD-studerende
Endokrinologisk Afdeling M / Endokrinologisk afdeling / Klinisk Institut
Odense Universitets Hospital / Sydvestjysk Sygehus Esbjerg / Syddansk
Universitet
*
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* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/