Abstract
The concept of attributable risks can be used to estimate the number of lung cancers attributable to residential radon in a population. Recent studies indicate that smoking might modify the effect of radon on lung cancer. In this paper, three different approaches for incorporating this kind of information into attributable risk calculations, one of which is using an arithmetic mixture model, are presented and discussed. For illustration purposes, a risk assessment for the population of the former West Germany is conducted.
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Steindorf, K., Lubin, J. (1995). Estimating Attributable Risks under an Arithmetic Mixture Model. In: Seeber, G.U.H., Francis, B.J., Hatzinger, R., Steckel-Berger, G. (eds) Statistical Modelling. Lecture Notes in Statistics, vol 104. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0789-4_34
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DOI: https://doi.org/10.1007/978-1-4612-0789-4_34
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-94565-1
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