The influence of design characteristics on statistical inference in nonlinear estimation: A simulation study based on survival data and hazard modeling

J.S. Andersen, J.J.M. Bedaux, S.A.L.M. Kooijman, H. Holst

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    This paper describes the influence of design characteristics on the statistical inference for an ecotoxicological hazard-based model using simulated survival data. The design characteristics of interest are the number and spacing of observations (counts) in time, the number and spacing of exposure concentrations (within c(min) and c(max)), and the initial number of individuals at time 0 in each concentration. A comparison of the coverage probabilities for confidence limits arising from the profile-likelihood approach and the Wald-based approach is carried out. The Wald-based approach is very sensitive to the choice of design characteristics, whereas the profile-likelihood approach is more robust and unbiased. Special attention is paid to estimating a parametric no-effect concentration in realistic small-sample situations since this is the most interesting parameter from an environmental protection point of view.
    Original languageEnglish
    JournalJournal of Agricultural Biological and Environmental Statistics
    Volume5
    Issue number3
    Pages (from-to)323-341
    ISSN1085-7117
    Publication statusPublished - 2000

    Keywords

    • large-sample theory
    • no-effect concentration
    • profile likelihood
    • small samples

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