Re: Cohen data suspect at best

[Kai Kaletsch <info@eic.nu>]

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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