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Determining “safe” levels of exposure: safety factors or mathematical models?
The object of regulatory toxicology is to determine “safe” levels of human exposure to toxicants present in the environment. The traditional safety factor approach is compared to more recent mathematical modeling techniques, outlining the underlying assumptions and statistical properties of each procedure. Several linear extrapolation procedures are examined in detail using computer simulation, along with the impact of nonlinear kinetics on the extrapolation process.
Authors
- Krewski, D, Krewski D,
- Brown, C, Brown C,
- Murdoch, D, Murdoch D,
YEAR OF PUBLICATION: 1984
SOURCE: Fundam Appl Toxicol. 1984 Jun;4(3 Pt 2):S383-94. doi: 10.1016/0272-0590(84)90267-7.
JOURNAL TITLE ABBREVIATION: Fundam Appl Toxicol
JOURNAL TITLE: Fundamental and applied toxicology : official journal of the Society of Toxicology
ISSN: 0272-0590 (Print) 0272-0590 (Linking)
VOLUME: 4
ISSUE: 3 Pt 2
PAGES: S383-94
PLACE OF PUBLICATION: United States
ABSTRACT:
The object of regulatory toxicology is to determine "safe" levels of human exposure to toxicants present in the environment. The traditional safety factor approach is compared to more recent mathematical modeling techniques, outlining the underlying assumptions and statistical properties of each procedure. Several linear extrapolation procedures are examined in detail using computer simulation, along with the impact of nonlinear kinetics on the extrapolation process.
The object of regulatory toxicology is to determine "safe" levels of human exposure to toxicants present in the environment. The traditional safety factor approach is compared to more recent mathematical modeling techniques, outlining the underlying assumptions and statistical properties of each procedure. Several linear extrapolation procedures are examined in detail using computer simulation, along with the impact of nonlinear kinetics on the extrapolation process.
LANGUAGE: eng
DATE OF PUBLICATION: 1984 Jun
DATE COMPLETED: 19840913
DATE REVISED: 20190908
MESH DATE: 1984/06/01 00:01
EDAT: 1984/06/01 00:00
STATUS: MEDLINE
PUBLICATION STATUS: ppublish
OWNER: NLM
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Chief Risk Scientist
Dr. Daniel Krewski is Chief Risk Scientist and co-founder of Risk Sciences International (RSI), a firm established in 2006 to bring evidence-based, multidisciplinary expertise to the challenge of understanding, managing, and communicating risk. As RSI’s inaugural CEO and long-time scientific...