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Re: Cases and Controls
Group,
I too have expressed concerns about the large difference in smoking habits
between the cases and controls. As I recall, the Iowa study states that a
mathematical correction was applied to the data set, but it doesn't address
the methodology? What algorithm was used to "adjust" the data for smoking?
What kind of error bars are associated with the "adjustment". Also, I would
assume the the mathematical association was derived from a subset of the
data and applied to the whole set. How do we know that this application was
unbiased?
Also note that the Iowa study did not discuss the subset of only cases that
were nonsmokers. The author has stated that there were not enough
never-smoking cases to derive statistical significance. This, to me, is a
very important conclusion. Remove smoking and there aren't enough lung
cancers. I'd like to see a study of non-smoking lung cancers that correlate
radon, occupational exposures, passive smoking, pulmonary disease, etc. In
women there are potential confounding factors such as hair spray,
fingernail painting and, in particular, the acetone used to remove the
paint, and perfume. Some women use this stuff everyday.
I also have a concern about dosimetry. The "track-etch on glass" radon
device seems promising. Note however that it can vary 25% over a single
pane of glass and variability in readings is much greater in houses with
smokers or former smokers. These variabilities become significant when the
RR at 150 Bq/m^3 is estimated to be 1.14.
Tom
John Williams wrote:
>
> Dr. Long,
>
> Your statement that the percent of smoking cases need to match
> the percent of smoking controls in a case control study is
> erroneous.
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--
Thomas Mohaupt, M.S., CHP
University Radiation Safety Officer
104 Health Sciences Bldg
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