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The Analysis of Regional Patterns in Health Data
Journal article

The Analysis of Regional Patterns in Health Data

Abstract

Three measures of spatial clustering (Moran's I, Geary's c, and a rank adjacency statistic, D) were evaluated for their power to detect regional patterns in health data. The patterns represented various environmental effects: a latitude gradient; residence near a contaminated water supply; disease "hot spots"; relation to socioeconomic status and urbanization; and general spatial autocorrelation. While the methods had high power to detect …

Authors

Walter SD

Journal

American Journal of Epidemiology, Vol. 136, No. 6, pp. 742–759

Publisher

Oxford University Press (OUP)

Publication Date

September 15, 1992

DOI

10.1093/oxfordjournals.aje.a116553

ISSN

0002-9262