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Is an ecological study appropriate?
On 28 Jan 1997 Darryl Kaurin <kaurin@mail.sep.bnl.gov> wrote:
>
> As for the work of Cohen, I was extremely impressed with his analysis.
> Since the results are extremely surprising, one must question if an
> ecological study is appropriate, since the radon doses assigned are average
> values for the entire county. Cohen's results are not unique, the UNSCEAR
> 1994 report lists numerous other radon ecological studies - some show a
> negative lung cancer rate with dose, some non-significant, and some a
> significant positive lung cancer rate with dose. I have not read each of
> the other ecological studies, but one must question the fundamentals of
> ecological studies for radon, since the results are so diverse.
>
On 28 Jan 1997 Bernard Cohen <blc+@pitt.edu> replied:
> ---Ecological studies are not very useful as a method for determining
> dose-response relationships, but, as pointed out repeatedly in my papers
> (but widely ignored) it is a valid method for testing a linear-no
> threshold theory. All other ecological studies try to do the former and
> hence are susceptible to "the ecological fallacy", but the ecological
> fallacy is not applicable to my paper.
On 29 Jan 1997 Jim Dukelow <js_dukelow@pnl.gov> plans to tediously repeat
comments he sent to RADSAFE about a year ago when the same issues were
being discussed. The comments seem to still be relevant.
To wit:
Cohen is justified in complaining, since the general tenor of comments on
his paper in RADSAFE was (paraphrasing): "It's only an ecological study,
so we don't have to deal with its conclusions." The problem with that
sort of comment is that Cohen dealt with it extensively in the paper,
arguing that an ecological study was adequate for statistical hypothesis
testing of the LNTH, considered as the null hypothesis. This places the
obligation on people raising the comment again to show why Cohen's
arguments are mistaken. As I understand Cohen's reasoning:
1. He assumes (but as far as I can find, does not explicitly
state) that the radiation dose delivered to the lung of
persons occupying a house is a linear function of the
measured (usually measured in the basement) radon
concentration in the house, implying an equation of the form:
Dose2lung = alpha * Radon_conc,
where alpha is the proportionality coefficient.
2. He assumes as the null hypothesis that
Probability of lung cancer/year = beta * Dose2lung.
This is just the LNTH dose response assumption.
3. If the distribution of radon concentrations in a county is:
C1, C2, ..., Cn, where n is the number of houses in the
county, then
Total person-dose to lung =
the Sum from 1 to n of (alpha*Ci), and
Number of lung cancers in the county per year =
the Sum from 1 to n of (beta*alpha*Ci) =
beta*alpha*(the Sum from 1 to n of Ci) =
n*beta*alpha*(the Sum from 1 to n of Ci)/n =
n*beta*alpha*(county average radon concentration).
4. Thus, for the linear no-threshold hypothesis, it doesn't
matter how the radon concentrations are distributed
throughout the county, and it doesn't matter how the person-
rem total dose is distributed across the population of the
county, the same number of lung cancers will be predicted by
Cohen's assumption about alpha, plus the LNTH assumption
about the dose-response curve (a straight line in this case).
Note that the LNTH is the only dose-response assumption for
which this assertion is valid. If you introduce ANY non-
linearity into the dose-response curve, then the ecological
study is no longer formally adequate, and the impact of the
non-linearity will have to be assessed in order to decide if
the ecological study tells you anything useful.
A few other comments about Cohen's paper:
1. I think his assumption about the linear dependence of Dose2lung on
household radon concentration is at least approximately accurate.
<<A short summary of Cohen's Health Physics paper deleted here>>
4. Finally, Cohen's analysis of potential confounding factors asserts
that the negative correlation between county average radon
concentrations and county lung cancers rates is so strong and so
striking that it can stand a lot of confounding by other factors, and
still leave intact the conclusion that the probability that the LNTH
applied to radon dose to the lung is correctly predicting lung cancer
rates is vanishingly small. Or, to state it baldly, the null
hypothesis (the LNTH applied to radon-derived lung doses) can be
rejected at a high level of significance.
5. I can't claimed to have verified all of Cohen's statistical
arguments, but I have read through the paper a couple of times in
some detail and find Cohen's treatment of possible confounding
factors and of complaints about the ecological analysis plausible. It
seems to me that anyone who wants to reject Cohen's conclusion has an
obligation to deal explicity with the details of his analysis.
I may be missing something here, in which case I would be happy to be
corrected by those who better understand these issues.
Note added on 29 Jan 1997: No such corrections surfaced when these
comments were posted on RADSAFE about a year ago.
Best regards.
Jim Dukelow
Pacific Northwest National Laboratory
Richland, WA
js_dukelow@pnl.gov
These are my opinions and have not been reviewed and/or approved by my
management or by the U.S. Department of Energy.