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 Concept Videos

Toxicity Testing in Animals01:23

Toxicity Testing in Animals

Toxicity tests in animals are grounded on two main assumptions: first, the effects observed in laboratory animals can be extrapolated to humans, especially when adjusted for body surface area; second, high-dose exposure in animals is essential to identify potential human hazards from lower doses. This is based on the quantal dose-response concept, which faces the challenge of extrapolating results from relatively few test animals to much larger human populations. For example, a 0.01% incidence...
Scaling01:26

Scaling

In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
Dose Response Curve: Conventional Versus Nonmonotonic01:21

Dose Response Curve: Conventional Versus Nonmonotonic

The correlation between a drug's dosage and its impact on a biological system is a cornerstone of pharmacology and toxicology. Conventional dose–response curves, which include graded and quantal relationships, are key to this understanding. Graded dose–response curves depict the spectrum of a biological reaction to different doses within an individual, indicating that as the drug dosage increases, so does the intensity of the response. On the other hand, quantal dose–response relationships...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...

You might also read

Related Articles

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

Sort by
Same author

Prediction of survival after pediatric cardiac arrest using heart rate variability and machine learning.

Resuscitation·2026
Same author

Prediction of Survival After Pediatric Cardiac Arrest Using Quantitative EEG and Machine Learning Techniques.

Neurology·2024
Same author

Forward variable selection for random forest models.

Journal of applied statistics·2023
Same author

Isotonic regression for metallic microstructure data: estimation and testing under order restrictions.

Journal of applied statistics·2022
Same author

A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steel.

Materials (Basel, Switzerland)·2022
Same author

Overall mean estimation of trace evidence in a two-level normal-normal model.

Forensic science international·2019

Related Experiment Video

Updated: Jun 5, 2026

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

Allometric scaling: analysis of LD50 data.

Lidia Burzala-Kowalczyk1, Geurt Jongbloed

  • 1L.M.Burzala@tudelft.nl

Risk Analysis : an Official Publication of the Society for Risk Analysis
|December 24, 2010
PubMed
Summary

Determining equivalent toxic doses across species is crucial for risk assessment. This study suggests a single allometric scaling rule (β = 1) fits diverse toxicological data, though prediction intervals remain wide.

Area of Science:

  • Toxicology
  • Risk Assessment
  • Pharmacokinetics

Background:

  • Identifying toxicologically equivalent doses across species is a significant challenge in toxicology and risk assessment.
  • Interspecies scaling is essential for extrapolating animal study results to human health.
  • Previous analyses often focused on species pairs, limiting broader applicability.

Purpose of the Study:

  • To investigate interspecies dose scaling using the allometric equation applied to oral LD50 data.
  • To perform a comprehensive statistical analysis of a large dataset, moving beyond pairwise comparisons.
  • To evaluate the suitability of different scaling rules, particularly the exponent β, for a unified model.

Main Methods:

  • Regression analysis of existing single, oral LD50 data from multiple species and substances.

More Related Videos

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

Bioassays for Monitoring Insecticide Resistance
06:30

Bioassays for Monitoring Insecticide Resistance

Published on: December 30, 2010

Related Experiment Videos

Last Updated: Jun 5, 2026

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
06:00

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila

Published on: October 1, 2011

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

Bioassays for Monitoring Insecticide Resistance
06:30

Bioassays for Monitoring Insecticide Resistance

Published on: December 30, 2010

  • Application of the allometric equation to model interspecies relationships.
  • Statistical evaluation of candidate scaling parameters, focusing on β = 1.

    • Main Results:

    • An overall analysis of the entire dataset supports a single scaling rule for all species and substances.
    • The parameter β = 1 emerged as the most natural choice, supported by narrow confidence intervals.
    • Despite precise parameter estimation, the model exhibited high variance, leading to wide prediction intervals.

    Conclusions:

    • A unified allometric scaling rule with β = 1 provides a statistically sound approach for interspecies dose extrapolation.
    • While this model offers a consistent framework, its predictive accuracy is limited by inherent biological variability.
    • Further research may refine models to improve prediction intervals for more accurate risk assessment.