Methodologic implications of social inequalities for analyzing health disparities in large spatiotemporal data sets: An example using breast cancer incidence data (Northern and Southern California, 1988–2002)

Efforts to monitor, investigate, and ultimately eliminate health disparities across racial/ethnic and socioeconomic groups can benefit greatly from spatiotemporal models that enable exploration of spatial and temporal variation in health. Hierarchical Bayes methods are well-established tools in the...

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Bibliografiske detaljer
Main Authors:	Chen, Jarvis T, Coull, Brent A., Waterman, Pamela D., Schwartz, Joel, Krieger, Nancy
Format:	Artigo
Sprog:	Inglês
Udgivet:	2008
Fag:	Article
Online adgang:	https://ncbi.nlm.nih.gov/pmc/articles/PMC2679974/ https://ncbi.nlm.nih.gov/pubmed/18551507 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.3263
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Methodologic implications of social inequalities for analyzing health disparities in large spatiotemporal data sets: An example using breast cancer incidence data (Northern and Southern California, 1988–2002)

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