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  1. Basic methods for sensitivity analysis of biases.

    Article - En anglais

    Background

    Most discussions of statistical methods focus on accounting for measured confounders and random errors in the data-generating process.

    In observational epidemiology, however, controllable confounding and random error are sometimes only a fraction of the total error, and are rarely if ever the only important source of uncertainty.

    Potential biases due to unmeasured confounders, classification errors, and selection bias need to be addressed in any thorough discussion of study results.

    Methods

    This paper reviews basic methods for examining the sensitivity of study results to biases, with a focus on methods that can be implemented without computer programming.

    Conclusion

    Sensitivity analysis is helpful in obtaining a realistic picture of the potential impact of biases.

    Mots-clés Pascal : Biais méthodologique, Sensibilité, Validité, Méthodologie, Analyse statistique, Epidémiologie, Etats Unis, Amérique du Nord, Amérique

    Mots-clés Pascal anglais : Methodological bias, Sensitivity, Validity, Methodology, Statistical analysis, Epidemiology, United States, North America, America

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 97-0080030

    Code Inist : 002B30A01A1. Création : 21/05/1997.