Making the most of spatial information in health: A tutorial in Bayesian disease mapping for areal data

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Making the most of spatial information in health: A tutorial in Bayesian disease mapping for areal data

Disease maps are effective tools for explaining and predicting patterns of disease outcomes across geographical space, identifying areas of potentially elevated risk, and formulating and validating aetiological hypotheses for a disease. Bayesian models have become a standard approach to disease mapp...

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Bibliographic Details
Main Authors:	Kang, S., Cramb, S., White, N., Ball, Stephen, Mengersen, K.
Format:	Journal Article
Published:	2016
Online Access:	http://hdl.handle.net/20.500.11937/54222

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