Statistical Models for Estimating Carcinogenic Risks from Animal Data.
Abstract
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1974
- Accession Number
- ADA011868
Entities
People
- David G. Hoel
Organizations
- Air Force Research Laboratory