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Re: st: Offset variable
From
Richard Williams <[email protected]>
To
[email protected], [email protected]
Subject
Re: st: Offset variable
Date
Mon, 09 Dec 2013 16:12:38 -0500
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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-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
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