Bayesian Spatial Joint Model for Disease Mapping of Zero-Inflated Data with R-INLA: A Simulation Study and an Application to Male Breast Cancer in Iran

Hierarchical Bayesian log-linear models for Poisson-distributed response data, especially Besag, York and Mollié (BYM) model, are widely used for disease mapping. In some cases, due to the high proportion of zero, Bayesian zero-inflated Poisson models are applied for disease mapping. This study prop...

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Detalles Bibliográficos
Autores principales: Asmarian, Naeimehossadat, Ayatollahi, Seyyed Mohammad Taghi, Sharafi, Zahra, Zare, Najaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888013/
https://www.ncbi.nlm.nih.gov/pubmed/31766251
http://dx.doi.org/10.3390/ijerph16224460

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888013/
https://www.ncbi.nlm.nih.gov/pubmed/31766251
http://dx.doi.org/10.3390/ijerph16224460

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