Where are the Errors when we Estimate Radon Exposure in Retrospect?

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Abstract
Epidemiological studies on lung cancer and radon in homes may, if good exposure data are used, give valuable information on dose response relationships. This paper studies where to put effort most effectively when trying to determine long term exposures, and where the largest uncertainties are found. Using Swedish data on distribution of radon in homes, living habits, errors in estimates of measurements, effects of alterations to houses, etc., the importance of a lack of knowledge of the different factors that affect individual exposure was numerically studied, using a simple Monte Carlo technique. We find that the dominant source of errors are connected to the measuring of radon and the determination of the average air concentration, and that a poor knowledge of living habits may also contribute significantly to the resulting uncertainty. Alterations to the houses seem, on the other hand, to be of little importance.

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