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RE: Cohen's Ecologic Studies
Dr. Cohen,
Just for the record then, how do your treatments account
for non-linear dependecies within and between counties,
especially since you are using averaged data for a
county?
Please be specific.
Concerning the r-squared value. The fact remains, you
are able to predict only a small percentage of the lung
cancer mortality using your smoking rates regardless of
the cause of your low r-squared value.
You have also never explained why your radon
concentrations produce an inverse association with other
smoking related cancers that are not associated with
radon exposure.
Bill Field
>
> On Mon, 3 Jun 2002 EPIRAD@mchsi.com wrote:
>
> > The bottom line as I have been trying to get across in
> > HP publications for years is that smoking is not a
> > linear function within or across counties in the United
> > States. If it were, then you could possibly adjust for
> > it better at the ecologic level.
>
> --My several independent treatments of smoking make no assumptions
> about smoking being a linear function of anything
>
> As for Dr. Cohen's
> > ecologic analyses, he can account for only about 30% of
> > the lung cancer mortality with his smoking data.
>
> --Wrong, wrong, wrong. The fact that R-squared is only 30% derives
> from the small up and down statistical variations. The true indication of
> predictability is the standard deviation of the slope of the regression of
> lung cancer on smoking prevalence which is very small percentage-wise
>
> Cohen's
> > derived LNTT formula does not have the ability to adjust
> > for non-linear covariates like the BEIR VI formula
> > does.
>
> --Wrong, wrong, wrong. My treatments of confounding factors do not
> depend on linearity. My treatment was based on BEIR-IV as it was the
> latest thing available. I could do a treatment based on BEIR-VI if it
> would be publishable, but I doubt if it would be considered new enough to
> be published
>
>
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