A Bayesian Quantile Modeling for Spatiotemporal Relative Risk: An Application to Adverse Risk Detection of Respiratory Diseases in South Carolina, USA

Quantile modeling has been seen as an alternative and useful complement to ordinary regression mainly focusing on the mean. To directly apply quantile modeling to areal data the discrete conditional quantile function of the data can be an issue. Although jittering by adding a small number from a uni...

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Detalles Bibliográficos
Autores principales: Rotejanaprasert, Chawarat, Lawson, Andrew B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164988/
https://www.ncbi.nlm.nih.gov/pubmed/30231557
http://dx.doi.org/10.3390/ijerph15092042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164988/
https://www.ncbi.nlm.nih.gov/pubmed/30231557
http://dx.doi.org/10.3390/ijerph15092042

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