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Related Experiment Videos

Confounding confounding.

D A Grayson

    American Journal of Epidemiology
    |September 1, 1987
    PubMed
    Summary
    This summary is machine-generated.

    Confounding in epidemiology is debated, with different theories focusing on exposure dependence or additive structures. This study argues the change-in-parameter definition is the most fundamental approach to understanding confounding.

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    Area of Science:

    • Epidemiology
    • Biostatistics

    Background:

    • Conflicting postulates on confounding exist: Miettinen and Cook (1981) link it to exposure-strata dependence, while Boivin and Wacholder (1985) tie it to additive structures.
    • These principles diverge from the conventional definition based on parameter bias.

    Purpose of the Study:

    • To critically evaluate existing definitions of confounding in epidemiological research.
    • To establish the fundamental definition of confounding based on parameter change.

    Main Methods:

    • Theoretical analysis of epidemiological confounding definitions.
    • Comparison of postulates by Miettinen and Cook with Boivin and Wacholder.
    • Argumentation for the parameter bias definition.

    Main Results:

    Related Experiment Videos

    • The postulate by Miettinen and Cook emphasizes exposure-strata dependence.
    • The postulate by Boivin and Wacholder highlights the role of the additive structure.
    • Both postulates are shown to be at variance with the parameter bias definition.

    Conclusions:

    • The change-in-parameter definition is presented as the sole fundamental definition of confounding.
    • This definition provides a unified and robust understanding of confounding in epidemiological studies.