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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. 1.

    What does each source of experimental data contribute to our knowledge and ability to model?

  2. 2.

    What kinds of information are needed to develop a biologically based model?

  3. 3.

    How does linearity enter into empirical models and biologically based models?

  4. 4.

    How does a biologically based model help us understand intraspecies variability?

  5. 5.

    How does a biologically based model help us understand interspecies variability?

  6. 6.

    What are the uncertainties associated with a biologically based model?

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© 1999 Springer Science+Business Media New York

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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

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  • 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

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