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Re: st: mean substitution with dummies for adjustment


From   "Clive Nicholas" <[email protected]>
To   [email protected]
Subject   Re: st: mean substitution with dummies for adjustment
Date   Mon, 20 Feb 2006 22:11:48 -0000 (GMT)

Hebe B. Quinton wrote:

> In our section we frequently run multivariate models (usually simply
> regressions), and then wish to calculate adjusted values.  The model is
> often
> something like:
>
> lung function = age sex infection center_2 center_3 center_4
>
> To calculate the adjusted value for each center we substitute the mean for
> age,
> sex, infection, then simply sum:

[...]

> where the centers are coded as 0,1 indicators, center 1 is left out as the
> referent.  The idea is that each center is dealing with the same "average"
> set
> of patients, and the center effect is captured by its coefficient.
>
> First, does anyone else do things this way?  Do you have a reference?  I
> have
> spent some time on line and in my stats books and can't come up with
> anything
> useful.

If I understand you right, you're looking for a quicker way to mean-center
your independent variables.

If I am, then try Ben Jann's -center- routine, downloadable from SSC:

. findit center

and take it from there. Hope that helps.

CLIVE NICHOLAS        |t: 0(044)7903 397793
Politics              |e: [email protected]
Newcastle University  |http://www.ncl.ac.uk/geps

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