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  1. Fulltext. Evaluation of birth cohort patterns in population disease rates.

    Article - En anglais


    Interpretation of trends in disease rates using conventional age-period-cohort analyses is made difficult by the lack of a unique set of parameters specifying any given model.

    Because of difficulties inherent in age-period-cohort models, neither the magnitude nor the direction of a linear trend in birth cohort effects or calendar period effects can be determined unambiguously.

    This leads to considerable uncertainty in making inferences regarding disease etiology based on birth cohort or calendar period trends.

    In this paper, the authors demonstrate that changes in the direction or magnitude of long term trends can be identified unequivocally in age-period-cohort analyses, and they provide parametric methods for evaluating such changes in trend within the usual Poisson regression framework.

    Such changes can have important implications for disease etiology.

    This is demonstrated in applications of the proposed methods to the investigation of birth cohort trends in female breast cancer mortality rates obtained from the National Center for Health Statistics for the United States (1970-1989) and from the World Health Organization for Japan (1955-1979).

    Mots-clés Pascal : Tumeur maligne, Glande mammaire, Mortalité, Epidémiologie, Etude cohorte, Modèle statistique, Loi Poisson, Femme, Etats Unis, Méthode étude, Homme, Amérique du Nord, Amérique, Glande mammaire pathologie

    Mots-clés Pascal anglais : Malignant tumor, Mammary gland, Mortality, Epidemiology, Cohort study, Statistical model, Poisson distribution, Woman, United States, Investigation method, Human, North America, America, Mammary gland diseases

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    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 96-0079236

    Code Inist : 002B30A01A1. Création : 199608.