Statistical methods for the evaluation of health effects of prenatal mercury exposure

Esben Budtz-Jørgensen, Niels Keiding, Philippe Grandjean, Pal Weihe, Roberta F. White

    Research output: Contribution to journalArticlepeer-review

    19 Citations (Scopus)


    Environmental risk assessment based on epidemiological data puts stringent demands on the statistical procedures. First, convincing evidence has to be established that there is a risk at all. In practice this endeavor requires prudent use of the observational epidemiological information with delicate balancing between utilizing the information optimally but not over-interpreting it. If a case for an environmental risk has been made, the second challenge is to provide useful input that regulatory authorities can use to set standards. This article surveys some of these issues in the concrete case of neurobehavioral effects in Faroese children prenatally exposed to methylmercury. A selection of modern, appropriate methods has been applied in the analysis of this material that may be considered typical of environmental epidemiology today. In particular we emphasize the potential of structural equation models for improving standard multiple regression analysis of complex environmental epidemiology data. Copyright © 2003 John Wiley & Sons, Ltd.
    Original languageEnglish
    Pages (from-to)105-120
    Number of pages15
    Issue number2
    Publication statusPublished - Mar 2003


    • Confounding
    • Environmental epidemiology
    • Measurement error
    • Multiple endpoints
    • Structural equation model


    Dive into the research topics of 'Statistical methods for the evaluation of health effects of prenatal mercury exposure'. Together they form a unique fingerprint.

    Cite this