Dose-response models with covariates

M. C. Wijesinha, S. Piantadosi

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Two approaches are presented to incorporate covariate effects into dose- response models. The first approach postulates a parametric form for the dose-response function with the resulting parameters then assumed to depend on the covariates. The second approach is semi-parametric: it assumes that the logit ratio (the difference between the logit of success rate at the covariate level and that of the baseline level) can be expressed as a regression model in the covariate effects and the dose level. We present results of a simulation study which compares the efficiency of the two approaches.

    Original languageEnglish (US)
    Pages (from-to)977-987
    Number of pages11
    JournalBiometrics
    Volume51
    Issue number3
    DOIs
    StatePublished - Oct 12 1995

    Keywords

    • Covariates
    • Dose-response curves
    • Parametric models
    • Semi-parametric models

    ASJC Scopus subject areas

    • Statistics and Probability
    • Biochemistry, Genetics and Molecular Biology(all)
    • Immunology and Microbiology(all)
    • Agricultural and Biological Sciences(all)
    • Applied Mathematics

    Fingerprint Dive into the research topics of 'Dose-response models with covariates'. Together they form a unique fingerprint.

    Cite this