Statistical Models for Estimating Carcinogenic Risks from Animal Data.
AEROSPACE MEDICAL RESEARCH LAB WRIGHT-PATTERSON AFB OHIO
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A problem of great concern currently faced by regulatory agencies is the prediction of carcinogenic risk of various environmental agents to man. Typically, a prediction of carcinogenic incidence in humans is required at a level of exposure considerably below experimental animal levels from which the predictions are derived. This presents two problems first, the statistical extrapolation to low-dose levels, and secondly, the mouse-to-man or species extrapolation. The statistical techniques used for low-dose extrapolation is briefly discussed in this paper.