Abstract
Experimental dose-response data has traditionally been fit by various mathematical models in order to estimate parameters such as an LD 50. Although statisticians have debated the appropriateness of the mathematical functions, the resultant estimates have not depended to any great extent upon the choice of function, as long as responses are estimated within the experimental region. However, human risk estimation invariably involves estimating low-dose effects well below the normal experimental region. This extrapolation process then becomes a scientifically fragile activity. Needless to say, the choice of mathematical model is crucial. Unfortunately, the choice is often made without sufficient biological understanding of the mechanisms involved in the response being estimated.
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© 1982 Plenum Press, New York
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Hoel, D. (1982). Extrapolation of Laboratory Data to Human Health Effects. In: Tice, R.R., Costa, D.L., Schaich, K.M. (eds) Genotoxic Effects of Airborne Agents. Environmental Science Research, vol 25. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-3455-2_37
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DOI: https://doi.org/10.1007/978-1-4613-3455-2_37
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