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Re: Cohen data suspect at best





A letter like this is already in press.



>From: Kai Kaletsch <info@eic.nu>

>To: Rad health <healthrad@hotmail.com>, radsafe@list.vanderbilt.edu

>Subject: Re: Cohen data suspect at best

>Date: Mon, 28 Jan 2002 23:40:30 -0600

>

>Don,

>

>Perhaps you can give a numerical example of how census inaccuracies can

>result in an inverse radon - lung cancer relationship WITHOUT assuming any

>relationship between the amount of misclassification and average county

>radon levels?

>

>This doesn't have to be realistic or complicated. You can use the wildest

>examples your imagination can come up with. But you cannot assume any

>relationship between the amount of misclassification and average county

>radon levels.

>

>Kai

>

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

>From: "Rad health" <healthrad@hotmail.com>

>

>

> > Kai, this is what would be called a systematic bias within the entire 

>data

> > structure. As Morgenstern has previously pointed out, these group level

> > biases are unbounded an can result in inverse associations.

>





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