Comparing definitions of spatial relations for the analysis of geographic disparities in mortality within a Bayesian mixed-effects framework
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista brasileira de epidemiologia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2017000300487 |
Resumo: | ABSTRACT: Objective: To analyze the conceptual and technical differences between three definitions of spatial relations within a Bayesian mixed-effects framework: classical multilevel definition, spatial multiple membership definition and conditional autoregressive definition with an illustration of the estimate of geographic disparities in early neonatal mortality in Colombia, 2011-2014. Methods: A registry based cross-sectional study was conducted. Births and early neonatal deaths were obtained from the Colombian vital statistics registry for 2011-2014. Crude and adjusted Bayesian mixed effects regressions were performed for each definition of spatial relation. Model fit statistics, spatial autocorrelation of residuals and estimated mortality rates, geographic disparity measures, relative ratios and relative differences were compared. Results: The definition of spatial relations between municipalities based on the conditional autoregressive prior showed the best performance according to both fit statistics and residual spatial pattern analyses. Spatial multiple membership definition had a poor performance. Conclusion: Bayesian mixed effects regression with conditional autoregressive prior as an analytical framework may be an important contribution to epidemiological design as an improved alternative to ecological methods in the analyses of geographic disparities of mortality, considering potential ecological bias and spatial model misspecification. |
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Revista brasileira de epidemiologia (Online) |
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Comparing definitions of spatial relations for the analysis of geographic disparities in mortality within a Bayesian mixed-effects frameworkHealth status disparitiesEarly neonatal mortalityGross domestic productVital statisticsSpatial regressionBayesian analysisABSTRACT: Objective: To analyze the conceptual and technical differences between three definitions of spatial relations within a Bayesian mixed-effects framework: classical multilevel definition, spatial multiple membership definition and conditional autoregressive definition with an illustration of the estimate of geographic disparities in early neonatal mortality in Colombia, 2011-2014. Methods: A registry based cross-sectional study was conducted. Births and early neonatal deaths were obtained from the Colombian vital statistics registry for 2011-2014. Crude and adjusted Bayesian mixed effects regressions were performed for each definition of spatial relation. Model fit statistics, spatial autocorrelation of residuals and estimated mortality rates, geographic disparity measures, relative ratios and relative differences were compared. Results: The definition of spatial relations between municipalities based on the conditional autoregressive prior showed the best performance according to both fit statistics and residual spatial pattern analyses. Spatial multiple membership definition had a poor performance. Conclusion: Bayesian mixed effects regression with conditional autoregressive prior as an analytical framework may be an important contribution to epidemiological design as an improved alternative to ecological methods in the analyses of geographic disparities of mortality, considering potential ecological bias and spatial model misspecification.Associação Brasileira de Saúde Coletiva2017-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2017000300487Revista Brasileira de Epidemiologia v.20 n.3 2017reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1980-5497201700030011info:eu-repo/semantics/openAccessRojas-Gualdrón,Diego Fernandoeng2017-11-06T00:00:00Zoai:scielo:S1415-790X2017000300487Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2017-11-06T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false |
dc.title.none.fl_str_mv |
Comparing definitions of spatial relations for the analysis of geographic disparities in mortality within a Bayesian mixed-effects framework |
title |
Comparing definitions of spatial relations for the analysis of geographic disparities in mortality within a Bayesian mixed-effects framework |
spellingShingle |
Comparing definitions of spatial relations for the analysis of geographic disparities in mortality within a Bayesian mixed-effects framework Rojas-Gualdrón,Diego Fernando Health status disparities Early neonatal mortality Gross domestic product Vital statistics Spatial regression Bayesian analysis |
title_short |
Comparing definitions of spatial relations for the analysis of geographic disparities in mortality within a Bayesian mixed-effects framework |
title_full |
Comparing definitions of spatial relations for the analysis of geographic disparities in mortality within a Bayesian mixed-effects framework |
title_fullStr |
Comparing definitions of spatial relations for the analysis of geographic disparities in mortality within a Bayesian mixed-effects framework |
title_full_unstemmed |
Comparing definitions of spatial relations for the analysis of geographic disparities in mortality within a Bayesian mixed-effects framework |
title_sort |
Comparing definitions of spatial relations for the analysis of geographic disparities in mortality within a Bayesian mixed-effects framework |
author |
Rojas-Gualdrón,Diego Fernando |
author_facet |
Rojas-Gualdrón,Diego Fernando |
author_role |
author |
dc.contributor.author.fl_str_mv |
Rojas-Gualdrón,Diego Fernando |
dc.subject.por.fl_str_mv |
Health status disparities Early neonatal mortality Gross domestic product Vital statistics Spatial regression Bayesian analysis |
topic |
Health status disparities Early neonatal mortality Gross domestic product Vital statistics Spatial regression Bayesian analysis |
description |
ABSTRACT: Objective: To analyze the conceptual and technical differences between three definitions of spatial relations within a Bayesian mixed-effects framework: classical multilevel definition, spatial multiple membership definition and conditional autoregressive definition with an illustration of the estimate of geographic disparities in early neonatal mortality in Colombia, 2011-2014. Methods: A registry based cross-sectional study was conducted. Births and early neonatal deaths were obtained from the Colombian vital statistics registry for 2011-2014. Crude and adjusted Bayesian mixed effects regressions were performed for each definition of spatial relation. Model fit statistics, spatial autocorrelation of residuals and estimated mortality rates, geographic disparity measures, relative ratios and relative differences were compared. Results: The definition of spatial relations between municipalities based on the conditional autoregressive prior showed the best performance according to both fit statistics and residual spatial pattern analyses. Spatial multiple membership definition had a poor performance. Conclusion: Bayesian mixed effects regression with conditional autoregressive prior as an analytical framework may be an important contribution to epidemiological design as an improved alternative to ecological methods in the analyses of geographic disparities of mortality, considering potential ecological bias and spatial model misspecification. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-07-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2017000300487 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2017000300487 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1980-5497201700030011 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Saúde Coletiva |
publisher.none.fl_str_mv |
Associação Brasileira de Saúde Coletiva |
dc.source.none.fl_str_mv |
Revista Brasileira de Epidemiologia v.20 n.3 2017 reponame:Revista brasileira de epidemiologia (Online) instname:Associação Brasileira de Saúde Coletiva (ABRASCO) instacron:ABRASCO |
instname_str |
Associação Brasileira de Saúde Coletiva (ABRASCO) |
instacron_str |
ABRASCO |
institution |
ABRASCO |
reponame_str |
Revista brasileira de epidemiologia (Online) |
collection |
Revista brasileira de epidemiologia (Online) |
repository.name.fl_str_mv |
Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO) |
repository.mail.fl_str_mv |
||revbrepi@usp.br |
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1754212955288764416 |