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Re: Cohen's ecologic study reanalyses
On Tue, 16 Sep 2003, Gary Howard wrote:
>
> What are your thoughts on this recent paper?
>
> Health Physics, Volume 85, Issue 4
>
> EPIDEMIOLOGICAL ASSOCIATIONS AMONG LUNG CANCER, RADON EXPOSURE AND
> ELEVATION ABOVE SEA LEVEL—A REASSESSMENT OF COHEN'S COUNTY LEVEL RADON
> STUDY
>
> Wesley R. Van Pelt*
--I am preparing a letter to the Editor on this. Part of my first
draft follows:
The title of Wes Van Pelt's recent paper (Van Pelt 2003) calls it "a
reassessment of Cohen's county level radon study. The purpose of this
letter is to show that it is something less than that.
My studies of the relationship between lung cancer rates and
average radon levels in homes for 1600 U.S. counties (Cohen 1995, 2000a)
with elaborate treatments of smoking behaviors (Cohen 1995, 1998, 2000b)
was designed and presented as a test of the linear-no threshold theory
(LNT) of radiation induced cancer. The key quantity in my analyses is the
slope, B, of the best fit to the data. In units of percent change in lung
cancer rate per pCi/L (37 Bq/m3) of radon, LNT predicts B = +7.3, whereas
fitting the data gives B = -7.3 (0.6) for males and B = -8.3 (0.8) for
females, discrepant with the LNT prediction by mopre than 20 standard
deviations.
My studies include elaborate treatments of potential confounding
factors (CF) that might explain these discrepancies. I introduced a method
of stratification for obtaining a value of B free of confounding by a
given CF and showed that combinations of CF are not much more effective
than the single most important CF in affecting the results, including a
recent advanced treatment (Cohen 2004).
Van Pelt has now discovered a new CF, altitude (elevation above
sea level) which can do more to make the value of B less negative than any
of the hundreds of CF previously considered. In particular, by use of
stratification on altitude, he finds B = -3.3 for males and B = -4.3 for
females. Moreover, he offers a mechanism involving changes in oxygen
concentration that can explain the behavior he hypothesizes.
While Van Pelt's observation is certainly interesting, it does
little to affect the conclusions of my papers. In the first place, his
results can reduce the discrepancy in B-values with the LNT prediction, B
= +7.3, by only 27% for males (from [7.3 +7.3] to [7.3 + 3.3]) and by only
26% for females (from [7.3 + 8.3] to [7.3 + 4.3], which is still a long
way from resolving the discrepancy.
In the second place, the stratification method provides only an
upper limit on how important a CF may be. For example, since radon levels
are strongly correlated with radon levels, two alternative views are
suggested:
A. The negative correlation between lung cancer and radon might be
partially caused by a negative correlation between lung cancer and
altitude, as Van Pelt proposes; or
B. The negative correlation between lung cancer and altitude might
be explained by the negative correlation between lung cancer and radon, in
which case altitude is not an effective CF.
I see no reason to prefer alternative A over alternative B.
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