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Testing the validity of the LNT
Otto and Bill,
I think what your asking is that someone explain why a specific
relationship was found using a formula that is not the LNT formula.
What type of relationship should be found using the Cohen derived
formula, if his formula is not an LNT formula? The point I made a
couple days ago is that you can only hope to test the LNT if you factor
in smoking duration and intensity in the initial formula since that is
the only way the dose (concentration in this case) - response has a
chance of being linear, if you do not do that you are not testing a LNT
formula.
I have no idea what results Cohen's derived "LNT" formula
should produce. I think what he is seeing is correct for his
formula.
A quote from our previous letter, "Cohen (1999a) continues to
challenge scientists to suggest a plausible explanation to explain the
inverse relationship he notes between mean county residential radon
measurements and mean county lung cancer mortality rates. We will call
this inverse relationship "Cohen's Paradox." Cohen (1999a)
states that his challenge is for someone to suggest a "not
implausible model" as a possible explanation and that the burden of
proof will be on him to show that "the explanation is highly
implausible." We maintain that even if additional plausible models
are offered, Cohen will likely not be able to explain his own
paradox. Cohen has not accepted the
fact that it may be impossible to explain Cohen's Paradox in definitive
analytical terms with his existing data because it is not always possible
to identify empirical sources of ecologic bias from aggregate (ecologic)
data alone (Field et al. 1998a)." Ref:
http://www.lww.com/health_physics/0017-90789-99ltrs.html
Let's first start with a valid formula that factors in smoking duration and intensity. As I have suggested perhaps this information can be obtained using the methods in Gutrie's paper. I favor thinking about ways to improve the validity of his formula and available data he has for his analysis rather than trying to explain the fruits of an unsupportable formula.
Regards, Bill Field
Information on the Burlington Health Study:
http://www.public-health.uiowa.edu/baecps/
******************************
R. William Field, Ph.D.
College of Public Health
Research Scientist - Department of Epidemiology
Adjunct Professor - Department of Occupational and Environmental Health
Graduate Faculty - College of Public Health
N222 Oakdale Hall
University of Iowa
Iowa City, Iowa 52242
319-335-4413 (phone)
319-335-4748 (fax)
mailto:bill-field@uiowa.edu
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