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Re: st: Quantile regression


From   Nick Cox <njcoxstata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Quantile regression
Date   Sat, 22 Sep 2012 15:33:01 +0100

The choice need not seem so stark. With a link function approach, as
with -poisson- or -glm, link(log)-, you can fit on a log scale and
report on the original scale. I would guess that this would make most
sense to clinicians and patients alike in this example.

Nick

On Sat, Sep 22, 2012 at 2:09 PM, JVerkuilen (Gmail)
<jvverkuilen@gmail.com> wrote:
> Ah one more point:
>
> As to whether you use log(glucose) or glucose depends on the
> literature and what is a meaningful outcome. I cannot answer that, as
> this is really not my field, but one nice thing about quantile
> regression is that it has some nice invariance properties to monotone
> transformations of the dependent variable.
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