Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A model-free approach to low-dose extrapolation.

D Krewski1, D Gaylor, M Szyszkowicz

  • 1Health Protection Branch, Health and Welfare Canada, Ottawa, Ontario.

Environmental Health Perspectives
|January 1, 1991
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Critical review of the association between environmental manganese and thyroid function, with implications for potential neurodevelopmental effects.

Journal of toxicology and environmental health. Part B, Critical reviews·2025
Same author

Review of non-invasive biomarkers as a tool for exposure characterization in human health risk assessments.

Journal of toxicology and environmental health. Part B, Critical reviews·2024
Same author

Magnetic resonance imaging T1 indices of the brain as biomarkers of inhaled manganese exposure.

Critical reviews in toxicology·2022
Same author

Wireless phone use in childhood and adolescence and neuroepithelial brain tumours: Results from the international MOBI-Kids study.

Environment international·2022
Same author

Derivation of whole blood biomonitoring equivalents for titanium for the interpretation of biomonitoring data.

Regulatory toxicology and pharmacology : RTP·2020
Same author

Derivation of whole blood biomonitoring equivalents for lithium for the interpretation of biomonitoring data.

Regulatory toxicology and pharmacology : RTP·2020
Same journal

A New Start.

Environmental health perspectives·2026
Same journal

Time-Varying Exposure to Element Mixtures and Children's Cognition at 5 Years of Age: Findings from the New Hampshire Birth Cohort Study.

Environmental health perspectives·2026
Same journal

Effect of Household Air Pollution on the Gut Microbiome and Virome of Adult Women Living in Uganda.

Environmental health perspectives·2026
Same journal

Comparison of Temperature-Mortality Associations across the Middle East Using Different Exposure Estimation Approaches.

Environmental health perspectives·2026
Same journal

Workflow for Statistical Analysis of Environmental Mixtures.

Environmental health perspectives·2026
Same journal

Effects of Extreme Heat Exposure on Heatstroke and Liver Injury in Mice: The Role of PPARα.

Environmental health perspectives·2026
See all related articles

This study questions the assumption of low-dose linearity in cancer risk assessment. It introduces a model-free method for linear extrapolation, validated with radiation carcinogenesis data and bioassays.

Area of Science:

  • Environmental Health
  • Toxicology
  • Biostatistics

Background:

  • Carcinogenic risk assessment often relies on linear extrapolation from high to low exposure levels.
  • The scientific validity of assuming low-dose linearity for environmental carcinogens requires critical examination.

Purpose of the Study:

  • To evaluate the scientific basis of the low-dose linearity assumption in cancer risk assessment.
  • To explore various statistical methods for linear extrapolation.
  • To introduce and assess a novel model-free approach for linear extrapolation.

Main Methods:

  • Examination of the scientific underpinnings of low-dose linearity in risk assessment.
  • Review of proposed statistical methods for linear extrapolation.
  • Development and application of a model-free linear extrapolation approach.

Related Experiment Videos

  • Empirical assessment of the statistical properties of the proposed method using 572 bioassay datasets.

    • Main Results:

    • The study critically analyzes the assumption of linearity at low doses of carcinogen exposure.
    • A model-free statistical method for linear extrapolation is presented.
    • The proposed method's statistical properties were evaluated using extensive bioassay data.

    Conclusions:

    • The assumption of low-dose linearity in carcinogenic risk assessment warrants careful scientific scrutiny.
    • The developed model-free approach offers a potentially more robust method for risk estimation at low exposure levels.
    • Further validation and application of this method can improve environmental health risk assessments.