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Probabilistic Methods in Toxicology

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Regulatory Toxicology

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Abstract

The concepts of “variability” and “uncertainty” play a central role in exposure and risk assessment. Traditionally applied worst-case scenarios do not adequately reflect the requirements of modern practice. Methods of probabilistic analysis, such as Monte Carlo simulations, are promising developments for sound consideration of these aspects.

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References

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Acknowledgment

We thank Eva Barrenberg for her English translation assistance.

Author information

Authors and Affiliations

  1. Department of Prevention and Innovation, Innovation in Health, NRW Centre for Health, Westerfeldstr. 35-37, 33611, Bielefeld, Germany

    Odile Mekel

  2. Department of Public Health, University of Bielefeld, AG 7 Universitaetsstr. 25, 33615, Bielefeld, Germany

    Rainer Fehr

Authors
  1. Odile Mekel
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  2. Rainer Fehr
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Corresponding author

Correspondence to Odile Mekel .

Editor information

Editors and Affiliations

  1. Walther-Straub-Institute of Pharmacology and Toxicology, LMU Munich, Munich, Germany

    Franz-Xaver Reichl

  2. Formerly Medical School, Hannover, Germany

    Michael Schwenk

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© 2014 Springer-Verlag Berlin Heidelberg

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Mekel, O., Fehr, R. (2014). Probabilistic Methods in Toxicology. In: Reichl, FX., Schwenk, M. (eds) Regulatory Toxicology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35374-1_47

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