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Re: Mechanisms are Needed to Explain Cohen's Data



IMHO, this whole radon-LNT gig is getting tiresome, and should be classified as much sound and fury signifying nothing.  Furthermore, the participants

seem confined to a few individuals, which is a strong indication that my opinion is NOT an outlier.



I thus respectfully request that the participants take their debate to another forum.



BTW, it may be healthier for those involved to switch to a more worthwhile activity, e.g., watching sitcoms.



The opinions expressed are strictly mine.

It's not about dose, it's about trust.



Bill Lipton

liptonw@dteenergy.com



Kai Kaletsch wrote:



> ----- Original Message -----

> From: "BERNARD L COHEN" <blc+@pitt.edu>

> To: "Kai Kaletsch" <info@eic.nu>

> Cc: "RadSafe" <radsafe@list.vanderbilt.edu>

> Sent: Friday, January 11, 2002 8:40 AM

> Subject: Re: Mechanisms are Needed to Explain Cohen's Data

>

> > --This reopens the old question of whether we should measure radon

> > gas or radon progeny in homes. There was a general consensus that it

> > should be radon gas because factors that influence radon progeny also

> > influence unattached fraction in a way that compensates, so we should not

> > neasure radon progeny unless we also measure unattached fraction and that

> > would be a very difficult and expensive proposition.

>

> That leaves you open to a possible cross confounding effect with smoking.

>

> > Note that your suggestion would also affect every other study that

> > has ever been done on radon vs lung cancer, including all the case-control

> > studies.

>

> I am not trying to explain case control studies of radon in homes. There is

> nothing to explain. The error bars are too big and the results are too

> random at the very low levels that we are interested in. Your data is strong

> enough to deserve an explanation.

>

> (As for the old miner studies, I think the dosimetry there has bigger

> problems than a small correlation between dose and smoking, even if some of

> the measurements were for radon gas.)

>

> > --Are you suggesting that a treatment is needed for non-smokers

> > living in houses where there are smokers? That would be very difficult in

> > any study.

>

> Actually, I was looking for some reassurance (perhaps by a mathematical

> exercise) that this could not bias your results by much.

>

> > In case-control studies, they don't ask whether there are other

> > people in the house who smoked.

>

> They don't have to. They actually measure the radon concentration of the

> house and assign it to the occupants. You are trying to use the total amount

> of radon in the county and divide it up between smokers and non-smokers. I

> am saying that your formula for dividing the dose may be wrong. Your table 4

> might address my mechanism by varying a correlation coefficient between x

> and r. I'm not sure.

>

> > > I meant the use of filtration units that is causally related to smoking.

> I

> > > think in most cases the combination of smoking and filtration will

> result in

> > > a higher number of attachment sites than the combination of not smoking

> and

> > > no filtration.

> >

> > --This depends on the type of filtration. I have tested filtration

> > and precipitation instruments that drastically reduce the number of

> > attachment sites.

>

> Even a 100 % efficient filtration unit running 100% of the time can only

> cause an exponential decay in the number of attachment sites in the room,

> because the cleaned air is immediately mixed with the old air. The smokers

> that I know only turn on their filters once you can no longer see your hand

> in front of your face.

>

> > > I don't see how one can judge the plausibility of the correlation, if

> one

> > > does not consider the underlying mechanism. For example, you deal with

> > > migration in your papers and conclude that it cannot explain the

> observed

> > > radon - lung cancer relationship. Would that conclusion still hold if

> the

> > > following mechanism was to be confirmed?:

> > >

> > > High radon in the interior of the US causes precursor to lung cancer

> > > conditions in people . These precursor conditions make the dust, pollen

> and

> > > cold air of the interior unbearable and these people move to the coast,

> > > where radon levels are low. There the precursor conditions develop into

> lung

> > > cancer.

> >

> > --I think most people would consider this to be very highly

> > implausible

>

> That was my point: plausibility of the correlation depends on the

> plausibility of the mechanism.

>

> > > I would be glad to write a letter to the Editor saying that these 20 or

> 30

> > > mechanisms must be disposed.

> >

> > --That would be fine with me but they should be problems that do

> > not apply to case-control studies. Also, I could not respond to 20-30

> > mechanisms, so I would much prefer if you could specify a few that are

> > most important in your list.

>

> I don't have a list. My original post was intended to challenge the people

> who want to save LNT to come up with specific mechanisms for cross level

> biases rather that use generic arguments like "Cohen's effect is caused by

> cross level biases". I gave a few possible examples to start them thinking.

>

> Best Regards,

> Kai Kaletsch

>

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