Utilização da modelagem inteiramente bayaesiana na detecção de padrões de variação de risco relativo de mortalidade infantil no Rio Grande do Sul, Brasil
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/94670 |
Resumo: | The infant mortality rate is one of the key indicators used to measure a population’s quality of life. The State of Rio Grande do Sul has a social and economic indicator called the Socioeconomic Development Index (IDESE). Most studies analyze the infant mortality rate in relation to risk factors, visually aided by maps. This study presents the methodology and an application of a Spatial Epidemiology method called the ecological correlation, using hierarchical Bayesian procedures. The article discusses the main problems found in ecological correlations, such as spatial autocorrelation and the estimator’s instability for small areas. To overcome these difficulties, the relative risk estimate obtained by spatial regression analysis using fully Bayesian estimation is presented. The infant mortality rate is analyzed in all 496 municipalities of Rio Grande do Sul for the years 2001 to 2004. Several models with spatial component and different variables from the IDESE/2003 were compared. The model using spatial structure along with the variable “education” was considered the best choice. With this methodology, it was possible to obtain a more interpretable pattern of infant mortality risk in Rio Grande do Sul. |
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Kato, Sergio KakutaVieira, Diego de MatosFachel, Jandyra Maria Guimarães2014-04-24T01:52:24Z20090102-311Xhttp://hdl.handle.net/10183/94670000704682The infant mortality rate is one of the key indicators used to measure a population’s quality of life. The State of Rio Grande do Sul has a social and economic indicator called the Socioeconomic Development Index (IDESE). Most studies analyze the infant mortality rate in relation to risk factors, visually aided by maps. This study presents the methodology and an application of a Spatial Epidemiology method called the ecological correlation, using hierarchical Bayesian procedures. The article discusses the main problems found in ecological correlations, such as spatial autocorrelation and the estimator’s instability for small areas. To overcome these difficulties, the relative risk estimate obtained by spatial regression analysis using fully Bayesian estimation is presented. The infant mortality rate is analyzed in all 496 municipalities of Rio Grande do Sul for the years 2001 to 2004. Several models with spatial component and different variables from the IDESE/2003 were compared. The model using spatial structure along with the variable “education” was considered the best choice. With this methodology, it was possible to obtain a more interpretable pattern of infant mortality risk in Rio Grande do Sul.application/pdfporCadernos de saúde pública. Vol. 25, no. 7 (jul. 2009), p. 1501-1510.Modelagem BayesianaEstatistica aplicada : MedicinaFatores de riscoRisk AssessmentStatistical AnalysisInfant MortalityUtilização da modelagem inteiramente bayaesiana na detecção de padrões de variação de risco relativo de mortalidade infantil no Rio Grande do Sul, BrasilUtilization of fully Bayesian modeling to detect patterns in relative risk variation for infant mortality in Rio Grande do Sul State, Brazil Estrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000704682.pdf000704682.pdfTexto completoapplication/pdf1075271http://www.lume.ufrgs.br/bitstream/10183/94670/1/000704682.pdfef43c1699072b354d9ca4b79d8be8d11MD51TEXT000704682.pdf.txt000704682.pdf.txtExtracted Texttext/plain35316http://www.lume.ufrgs.br/bitstream/10183/94670/2/000704682.pdf.txtad6b213c4efb0e688e1b932c0c9239d9MD52THUMBNAIL000704682.pdf.jpg000704682.pdf.jpgGenerated Thumbnailimage/jpeg1609http://www.lume.ufrgs.br/bitstream/10183/94670/3/000704682.pdf.jpg2fe739c008aac448bb2d8e10159937daMD5310183/946702018-10-05 08:37:27.337oai:www.lume.ufrgs.br:10183/94670Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2018-10-05T11:37:27Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Utilização da modelagem inteiramente bayaesiana na detecção de padrões de variação de risco relativo de mortalidade infantil no Rio Grande do Sul, Brasil |
dc.title.alternative.en.fl_str_mv |
Utilization of fully Bayesian modeling to detect patterns in relative risk variation for infant mortality in Rio Grande do Sul State, Brazil |
title |
Utilização da modelagem inteiramente bayaesiana na detecção de padrões de variação de risco relativo de mortalidade infantil no Rio Grande do Sul, Brasil |
spellingShingle |
Utilização da modelagem inteiramente bayaesiana na detecção de padrões de variação de risco relativo de mortalidade infantil no Rio Grande do Sul, Brasil Kato, Sergio Kakuta Modelagem Bayesiana Estatistica aplicada : Medicina Fatores de risco Risk Assessment Statistical Analysis Infant Mortality |
title_short |
Utilização da modelagem inteiramente bayaesiana na detecção de padrões de variação de risco relativo de mortalidade infantil no Rio Grande do Sul, Brasil |
title_full |
Utilização da modelagem inteiramente bayaesiana na detecção de padrões de variação de risco relativo de mortalidade infantil no Rio Grande do Sul, Brasil |
title_fullStr |
Utilização da modelagem inteiramente bayaesiana na detecção de padrões de variação de risco relativo de mortalidade infantil no Rio Grande do Sul, Brasil |
title_full_unstemmed |
Utilização da modelagem inteiramente bayaesiana na detecção de padrões de variação de risco relativo de mortalidade infantil no Rio Grande do Sul, Brasil |
title_sort |
Utilização da modelagem inteiramente bayaesiana na detecção de padrões de variação de risco relativo de mortalidade infantil no Rio Grande do Sul, Brasil |
author |
Kato, Sergio Kakuta |
author_facet |
Kato, Sergio Kakuta Vieira, Diego de Matos Fachel, Jandyra Maria Guimarães |
author_role |
author |
author2 |
Vieira, Diego de Matos Fachel, Jandyra Maria Guimarães |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Kato, Sergio Kakuta Vieira, Diego de Matos Fachel, Jandyra Maria Guimarães |
dc.subject.por.fl_str_mv |
Modelagem Bayesiana Estatistica aplicada : Medicina Fatores de risco |
topic |
Modelagem Bayesiana Estatistica aplicada : Medicina Fatores de risco Risk Assessment Statistical Analysis Infant Mortality |
dc.subject.eng.fl_str_mv |
Risk Assessment Statistical Analysis Infant Mortality |
description |
The infant mortality rate is one of the key indicators used to measure a population’s quality of life. The State of Rio Grande do Sul has a social and economic indicator called the Socioeconomic Development Index (IDESE). Most studies analyze the infant mortality rate in relation to risk factors, visually aided by maps. This study presents the methodology and an application of a Spatial Epidemiology method called the ecological correlation, using hierarchical Bayesian procedures. The article discusses the main problems found in ecological correlations, such as spatial autocorrelation and the estimator’s instability for small areas. To overcome these difficulties, the relative risk estimate obtained by spatial regression analysis using fully Bayesian estimation is presented. The infant mortality rate is analyzed in all 496 municipalities of Rio Grande do Sul for the years 2001 to 2004. Several models with spatial component and different variables from the IDESE/2003 were compared. The model using spatial structure along with the variable “education” was considered the best choice. With this methodology, it was possible to obtain a more interpretable pattern of infant mortality risk in Rio Grande do Sul. |
publishDate |
2009 |
dc.date.issued.fl_str_mv |
2009 |
dc.date.accessioned.fl_str_mv |
2014-04-24T01:52:24Z |
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Estrangeiro info:eu-repo/semantics/article |
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0102-311X |
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000704682 |
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http://hdl.handle.net/10183/94670 |
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por |
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por |
dc.relation.ispartof.pt_BR.fl_str_mv |
Cadernos de saúde pública. Vol. 25, no. 7 (jul. 2009), p. 1501-1510. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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