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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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