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Bayesian analysis of spatial data using different variance and neighbourhood structures
- Source :
- Web of Science, Repositório Institucional da UNESP, Universidade Estadual Paulista (UNESP), instacron:UNESP
- Publication Year :
- 2016
- Publisher :
- Taylor & Francis Ltd, 2016.
-
Abstract
- 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
- Subjects :
- 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
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Web of Science, Repositório Institucional da UNESP, Universidade Estadual Paulista (UNESP), instacron:UNESP
- Accession number :
- edsair.doi.dedup.....f13c077b0381cccffe9821189e816cba