Bayesian analysis of spatial data using different variance and neighbourhood structures
| Autor: | Renato Couto Rampaso, Aparecida Doniseti Pires de Souza, Edilson Ferreira Flores |
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| Přispěvatelé: | Universidade Estadual Paulista (Unesp) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Statistics and Probability
Bayesian probability disease mapping Poisson distribution 01 natural sciences 010104 statistics & probability 03 medical and health sciences symbols.namesake 0302 clinical medicine Statistics Covariate Econometrics conditional autoregressive models 030212 general & internal medicine 0101 mathematics Spatial dependence Spatial analysis Neighbourhood (mathematics) Mathematics Applied Mathematics Random effects model Modeling and Simulation symbols Risk of death Statistics Probability and Uncertainty spatial Bayesian inference |
| Zdroj: | Web of Science Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP |
| Popis: | Made available in DSpace on 2018-11-27T04:40:24Z (GMT). No. of bitstreams: 0 Previous issue date: 2016-02-11 In disease mapping, the overall goal is to study the incidence or mortality risk caused by a specific disease in a number of geographical regions. It is common to assume that the response variable follows a Poisson distribution, whose average rate can be explained by a group of covariates and a random effect. For this random effect, it is considered conditional autoregressive (CAR) models, which carry information about the neighbourhood relationship between the regions. The focus of this paper was to explore and compare some CAR models proposed in the literature. An application with epidemiological data was conducted to model the risk of death due to Crohn's Disease and Ulcerative Colitis in the State of SAo Paulo - Brazil. Finally, a simulation study was done to strengthen the results and assess the performance of the models in the presence of various levels of spatial dependence. Univ Estadual Paulista, Fac Ciencias & Tecnol, Presidente Prudente, SP, Brazil Univ Estadual Paulista, Fac Ciencias & Tecnol, Presidente Prudente, SP, Brazil |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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