Bayesian modeling of air pollution health effects with missing exposure data.

The authors propose a new statistical procedure that utilizes measurement error models to estimate missing exposure data in health effects assessment. The method detailed in this paper follows a Bayesian framework that allows estimation of various parameters of the model in the presence of missing c...

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Detalles Bibliográficos
Publicado en:American Journal of Epidemiology Vol. 164; no. 1; pp. 69 - 77
Autores principales: Molitor J, Molitor N, Jerrett M, McConnell R, Gauderman J, Berhane K, Thomas D
Formato: equations & formulas research tables/charts Journal Article
Publicado: Oxford University Press / USA Jul2006
Acceso en línea:Ver este registro en EBSCOhost