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- W337152117 abstract "Geographic variation in mortality levels has been documented for states, cities, state economic areas, and counties. Important factors implicated by these studies include socioeconomic status, urban-rural residence, marital status, industry type, class of worker, race, and environmental pollution. The effects of these mortality correlates, especially air pollution, have been assessed via multiple regression methodology. A major emphasis of these studies has been the selection of a national equation to describe the influence of air pollution on mortality while controlling for other factors. Although national equations greatly simplify inference, the reasonableness of such equations for mortality analysis has not been fully substantiated. Regional differences in factors influencing mortality have been considered in regression models by including dummy coded variables for census regions in the regression model. Accounting for regional differences in this manner assumes census regions do reflect geographic differences, census regions represent well defined, homogeneous collections of counties, and the underlying true census region equations differ only in intercept. If these assumptions are not met, a national equation with average slope estimates can represent a distortion of such magnitude as to render the national equation meaningless. This paper outlines a strategy for evaluating the validity of these assumptions, a methodologymore » for taking corrective steps if necessary, and an illustrative example.« less" @default.
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- W337152117 date "1981-01-01" @default.
- W337152117 modified "2023-09-27" @default.
- W337152117 title "Multivariate methods for assessing disease/environment association: conceptual versus geographic regions" @default.
- W337152117 hasPublicationYear "1981" @default.
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