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  1. Air pollution and mortality : The implications of uncertainties in regression modeling and exposure measurement.

    Article - En anglais

    In a previous paper, 1 we showed that the mean effects on daily mortality associated with air pollution are essentially the same for gases and particulate matter (PM) and are invariant with respect to particle size and composition, based on 27 statistical studies that had been published at that time.

    Since then, a new analysis2 reported stronger mortality associations for the fine fractions of PM obtained from dichotomous samplers, relative to the coarse fractions.

    In this paper, we show that differential measurement errors known to be present in dichotomous sampler data preclude reliable determination of such statistical relationships by particle size.

    Further, it is necessary to consider gaseous pollutants simultaneously with particles to provide robust estimates of the responsibilities for the implied daily mortality gradients.

    Finally, certain regression model specifications may be sensitive to differences in frequency distribution characteristics according to particle size.

    Mots-clés Pascal : Pollution air, Toxicité, Mortalité, Etats Unis, Amérique du Nord, Amérique, Exposition, Gaz, Particule en suspension, Dimension particule, Analyse statistique, Modèle régression, Homme, Incertitude, Méthode étude

    Mots-clés Pascal anglais : Air pollution, Toxicity, Mortality, United States, North America, America, Exposure, Gases, Suspended particle, Particle size, Statistical analysis, Regression model, Human, Uncertainty, Investigation method

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

    Cote : 97-0273621

    Code Inist : 002B03M02. Création : 15/07/1997.