Methods for Low Dose Risk Extrapolation Based on Logistic Dose Response Model
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Date
1999-05
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Addis Abeba university
Abstract
Many methods of low dose risk assessment based on the popularly used dose response models
have been suggested. The estimates of risk by the different methods were observed to differ
largely. In this paper, two alternative approaches of low dose risk assessment are suggested.
Both methods are based on the logistic dose response model. The underlying principle in
both approaches is to make the lower tail of the logistic curve heavier. The performances of
the methods are compared against standard logistic estimates and linear extrapolation
estimates based on logistic model by the Monte Carlo method.
The results indicate that the performance of one of the new approaches is superior when the
true dose response model is Multihit or Logistic. Linear extrapolation is the best method
when the underlying model is Onehit, Multistage or Weibull. The performances of the
estimators are obselVed to depend on the choice of number of animals per dose group and risk
level to be estimated
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Keywords
Extrapolation Based on Logistic