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 dose-response model incorporating nonlinear kinetics.

J Van Ryzin, K Rai

    Biometrics
    |March 1, 1987
    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

    Cellular stemness identifies high-risk ductal carcinoma <i>in situ</i> and offers a therapeutic interception opportunity.

    bioRxiv : the preprint server for biology·2026
    Same author

    Detection of bla NDM-1 Encoding Imepenemase among the Imipenem-Resistant Gram-Negative Bacilli Isolated from Various Clinical Samples at a Tertiary Care Hospital of Eastern Nepal: A Descriptive Cross-Sectional Study.

    International journal of microbiology·2020
    Same author

    Traumatic Diaphragmatic Hernia: Diagnostic Dilemma.

    Kathmandu University medical journal (KUMJ)·2018
    Same author

    Oral health: Caries risk category.

    British dental journal·2017
    Same author

    A micromechanical comparison of human and porcine skin before and after preservation by freezing for medical device development.

    Scientific reports·2016
    Same author

    Comprehensive review of BAP1 tumor predisposition syndrome with report of two new cases.

    Clinical genetics·2015

    This study presents a new dose-response model for toxic quantal data, incorporating nonlinear kinetics and background response. The model aids in low-dose extrapolation and analyzing complex dose-response curves from carcinogenicity bioassays.

    Area of Science:

    • Toxicology
    • Biostatistics
    • Pharmacokinetics

    Background:

    • Quantal response data analysis is crucial for toxicology.
    • Existing models may not fully capture complex dose-response relationships, especially with nonlinear kinetics.
    • Understanding low-dose effects is vital for risk assessment.

    Purpose of the Study:

    • To introduce a novel four-parameter dose-response model for toxic quantal data.
    • To incorporate hit theory with nonlinear kinetic transformations of the dose unit.
    • To provide statistical methods for parameter estimation and hypothesis testing, including low-dose extrapolation.

    Main Methods:

    • Development of a dose-response model based on hit theory and nonlinear kinetics.
    • Application of maximum likelihood estimation for parameter estimation.

    Related Experiment Videos

  • Construction of likelihood ratio tests to assess model fit (one-hit vs. multi-hit, linear vs. nonlinear kinetics).

    • Main Results:

    • The proposed model effectively describes dose-response data, including background response.
    • Maximum likelihood estimators and their asymptotic properties are derived.
    • Statistical tests are developed to evaluate the significance of nonlinear kinetics and the one-hit assumption.
    • The model's utility is demonstrated on diverse carcinogenicity bioassay data.

    Conclusions:

    • The new model provides a flexible framework for analyzing toxic quantal response data.
    • It allows for the investigation of underlying mechanisms, including nonlinear kinetics.
    • The methodology supports robust low-dose extrapolation and interpretation of dose-response curve shapes.