Abstract
The present report addresses several key issues in quantitative cancer risk assessment pertaining to the dose- response analysis of initiator and promoter carcinogens. Most problems addressed in this report fall into one of the following categories of questions:
-
1.
What does each source of experimental data contribute to our knowledge and ability to model?
-
2.
What kinds of information are needed to develop a biologically based model?
-
3.
How does linearity enter into empirical models and biologically based models?
-
4.
How does a biologically based model help us understand intraspecies variability?
-
5.
How does a biologically based model help us understand interspecies variability?
-
6.
What are the uncertainties associated with a biologically based model?
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media New York
About this chapter
Cite this chapter
Amaral-Mendes, J.J. et al. (1999). Conclusions and Recommendations. In: Cogliano, V.J., Luebeck, E.G., Zapponi, G.A. (eds) Perspectives on Biologically Based Cancer Risk Assessment. Nato · Challenges of Modern Society, vol 23. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4741-9_9
Download citation
DOI: https://doi.org/10.1007/978-1-4615-4741-9_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7149-6
Online ISBN: 978-1-4615-4741-9
eBook Packages: Springer Book Archive