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Dose-response curves and competing risks.

P G Groer

    Proceedings of the National Academy of Sciences of the United States of America
    |September 1, 1978
    PubMed
    Summary
    This summary is machine-generated.

    Estimating toxicant dose-response curves is possible for independent lethal responses. For dependent responses, only bounds can be estimated, which are wide when competing risks are frequent.

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    Area of Science:

    • Toxicology
    • Biostatistics
    • Radiobiology

    Background:

    • Dose-response curves are crucial for understanding toxicant effects.
    • Estimating these curves is challenging when multiple lethal responses compete.

    Purpose of the Study:

    • To present methods for estimating dose-response curves for lethal responses.
    • To address scenarios involving statistically independent and dependent competing risks.

    Main Methods:

    • Utilized time-of-occurrence data for all responses in a homogeneous population.
    • Developed estimation procedures for statistically independent responses.
    • Established upper and lower bounds for dose-response curves in cases of statistical dependence.

    Main Results:

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    • Accurate dose-response curve points can be estimated for statistically independent lethal responses.
    • For statistically dependent responses, only bounds for the dose-response curve can be determined.
    • The width of these bounds increases with the frequency of competing risks.

    Conclusions:

    • The study provides a framework for dose-response estimation in toxicology.
    • Statistical dependence between responses necessitates bounding rather than precise estimation.
    • The findings are illustrated using plutonium-239 (239Pu) beagle injection data.