Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data
<p style="text-align:justify;"> 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 model...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Published: |
PAGEPress
2016
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