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Re: st: Offset variable


From   Lucas <[email protected]>
To   Richard Williams <[email protected]>
Subject   Re: st: Offset variable
Date   Tue, 10 Dec 2013 17:46:31 -0800

A blast from the past!  Brings back memories.

Sam

On Mon, Dec 9, 2013 at 1:12 PM, Richard Williams
<[email protected]> wrote:
> At 09:56 AM 12/9/2013, Lucas wrote:
>>
>> Here we go again. :-|
>>
>> Check out the "Relative Importance of predictors in regression" thread
>> for discussion of whether model coefficients can be interpreted as
>> "holding constant" other variables in the model. :-)
>
>
> Speaking of blasts from the past, Sam commented on the offset option more
> than a decade ago:
>
> http://www.stata.com/statalist/archive/2002-07/msg00082.html
>
> The message was basically the same though. Offset is an alternative to
> exposure. I don't know why or how you would use it in something like ordinal
> regression.
>
>> Happy December!
>>
>> Sam
>>
>> On Mon, Dec 9, 2013 at 4:11 AM, David Hoaglin <[email protected]> wrote:
>> > Hi, Stephen.
>> >
>> > You have not described your data, but the usual approach would be to
>> > simply include that independent variable in the model.  Then the
>> > coefficients of the other independent variables will be adjusted for
>> > the contribution of that variable.  I say "adjusted for" because that
>> > is what regression does.  In observational data, regression generally
>> > does not "control" any of the predictor variables.
>> >
>> > David Hoaglin
>> >
>> > On Sun, Dec 8, 2013 at 10:53 PM, Stephen A. Crowder <[email protected]>
>> > wrote:
>> >> I am developing an ordinal logistic regression model examining a factor
>> >> with several levels on my dependent variable. That part is straight forward
>> >> enough but I have a main independent variable that ide like to control for
>> >> in the examination of all of the other independent variables. My question is
>> >> would I need to make this an "offset variable" in my models? I've been
>> >> looking through the literature and there's no clear answer available.
>> >
>> > *
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>>
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>
>
> -------------------------------------------
> Richard Williams, Notre Dame Dept of Sociology
> OFFICE: (574)631-6668, (574)631-6463
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> WWW:    http://www.nd.edu/~rwilliam
>
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