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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)
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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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2008
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| Soggetti: | |
| Accesso online: | 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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