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Cohen's Fallacy
After reading the epidemiologic technique in the paper Dr. Field suggested
to Dr. Cohen, I think it could possibly help to correct the problem with
Cohen's analyses pointed out here by Doll and Darby. This is the same
problem Field pointed out previously of the radon varying more within county
than between counties. The variance of smoking within county co-correlates
with other factors that Cohen has not been able to treat at the within
county level.
Don
J. Radiol. Prot. 20 (June 2000) 221-222
LETTER TO THE EDITOR
Reply to `Explaining the lung cancer versus radon exposure data for USA
counties'
Sarah Darby and Richard Doll
Clinical Trial Service Unit, University of Oxford, Nuffield Department of
Clinical Medicine, Harkness Building, Radcliffe Infirmary, Oxford OX2 6HE,
UK
Professor Cohen states in his letter that his analysis `encompasses all of
the Doll suggestions'. It is, however, logically impossible for it to have
done so using data at the level of counties. This is because the effect of
cigarette smoking on the relationship between residential radon and
individual lung cancer risk will be determined by the relationship between
smoking status and lung cancer among the individuals within each county.
Unless smoking is irrelevant to lung cancer risk (which we know to be
untrue) or smoking status and residential radon are uncorrelated within each
county (which seems unlikely), the relationship between residential radon
and lung cancer at the county level will differ from that at the level of
the individual in a way that cannot be overcome by including corrections for
smoking habits at the county level, even if these corrections correctly
represent the smoking habits of the individuals within each county. The
difference in the relationship between a risk factor and a disease rate at
the level of the individual and at an area level is the ecologic fallacy and
is described in detail by Greenland and Robins (1994) and Morgenstern
(1998). Lubin (1998) has also demonstrated that biases caused by the
ecologic fallacy can be of any magnitude from minus infinity to plus
infinity.
In two recent studies (Lagarde and Pershagen 1999, Darby et al 2000),
parallel individual and ecological analyses have been carried out of
identical data from case-control studies of residential radon (Peshagen et
al 1994, Darby et al 1998). These analyses have shown that, in addition to
any bias caused by the ecological fallacy, ecological studies of residential
radon and lung cancer are also prone to biases caused by determinants of
lung cancer risk that vary at the level of the ecological unit concerned. In
these two examples, the additional variables were latitude and urban/rural
status respectively. The explanation of these variables is not yet well
understood and they may well be, in part, surrogate measures for some
aspects of the subjects' smoking history not accounted for by the measures
of smoking status that have been derived from the individual questionnaire
data and used in the analysis of the data for individuals. They had only a
minor effect on analysis at this level but a substantial effect on the
ecological analyses. The presence of these variables is further evidence of
the pitfalls of ecological studies.
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