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...

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Detalles Bibliográficos
Autores principales: Flórez, K. C., Corberán-Vallet, A., Iftimi, A., Bermúdez, J. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
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

Internet

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

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