Bayesian joint spatio-temporal analysis of multiple diseases
Gómez-Rubio, Virgilio (Universidad de Castilla-La Mancha)
Palmí-Perales, Francisco (Universidad de Castilla-La Mancha)
López-Abente, Gonzalo (Instituto de Salud Carlos III)
Ramis, Rebeca (Instituto de Salud Carlos III)
Fernández-Navarro, Pablo (Instituto de Salud Carlos III)

Data:	2019
Resum:	In this paper we propose a Bayesian hierarchical spatio-temporal model for the joint analysis of multiple diseases which includes specific and shared spatial and temporal effects. Dependence on shared terms is controlled by disease-specific weights so that their posterior distribution can be used to identify diseases with similar spatial and temporal patterns. The model proposed here has been used to study three different causes of death (oral cavity, esophagus and stomach cancer) in Spain at the province level. Shared and specific spatial and temporal effects have been estimated and mapped in order to study similarities and differences among these causes. Furthermore, estimates using Markov chain Monte Carlo and the integrated nested Laplace approximation are compared.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Bayesian modelling ; Joint modelling ; Multivariate disease mapping ; Shared components ; Spatio-temporal epidemiology
Publicat a:	SORT : statistics and operations research transactions, Vol. 43 Núm. 1 (January-June 2019) , p. 51-74 (Articles) , ISSN 2013-8830

Adreça alternativa: https://raco.cat/index.php/SORT/article/view/356181
DOI: 10.2436/20.8080.02.79

24 p, 3.9 MB

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