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A Bayesian unified framework for risk estimation and cluster identification in small area health data analysis
Many statistical models have been proposed to analyse small area disease data with the aim of describing spatial variation in disease risk. In this paper, we propose a Bayesian hierarchical model that simultaneously allows for risk estimation and cluster identification. Our model formulation assumes...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7205265/ https://www.ncbi.nlm.nih.gov/pubmed/32379767 http://dx.doi.org/10.1371/journal.pone.0231935 |