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pubmed-article:17883857rdf:typepubmed:Citationlld:pubmed
pubmed-article:17883857lifeskim:mentionsumls-concept:C0026336lld:lifeskim
pubmed-article:17883857lifeskim:mentionsumls-concept:C1609982lld:lifeskim
pubmed-article:17883857lifeskim:mentionsumls-concept:C0205419lld:lifeskim
pubmed-article:17883857lifeskim:mentionsumls-concept:C0332197lld:lifeskim
pubmed-article:17883857lifeskim:mentionsumls-concept:C1428114lld:lifeskim
pubmed-article:17883857pubmed:dateCreated2008-2-13lld:pubmed
pubmed-article:17883857pubmed:abstractTextBACKGROUND: In the context of ecological studies, the Bayesian hierarchical Poisson model is of prime interest when studying the association between environmental exposure and rare diseases. However, adding spatially structured extra-variability in the model fitted to the data when such extra-variability does not exist conditionally on the covariates included in the model (over-fitting) may bias the estimation of the ecological association between covariates and relative risks toward the null. In order to investigate that possibility, a simulation study of the impact of introducing unnecessary residual spatial structure in the estimation model was conducted. RESULTS: In the case where no underlying extra-variability from the Poisson process exists, the simulation results show that models accounting for structured and unstructured residuals do not underestimate the ecological association, unless covariates have a very strong autocorrelation structure, i.e., 0.98 at 100 km on a territory of diameter 1000 km."lld:pubmed
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pubmed-article:17883857pubmed:statusMEDLINElld:pubmed
pubmed-article:17883857pubmed:issn1476-072Xlld:pubmed
pubmed-article:17883857pubmed:authorpubmed-author:HémonDenisDlld:pubmed
pubmed-article:17883857pubmed:authorpubmed-author:Guihenneuc-Jo...lld:pubmed
pubmed-article:17883857pubmed:authorpubmed-author:LatoucheAurél...lld:pubmed
pubmed-article:17883857pubmed:authorpubmed-author:GirardClaireClld:pubmed
pubmed-article:17883857pubmed:issnTypeElectroniclld:pubmed
pubmed-article:17883857pubmed:volume6lld:pubmed
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pubmed-article:17883857pubmed:pagination39lld:pubmed
pubmed-article:17883857pubmed:dateRevised2009-11-18lld:pubmed
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pubmed-article:17883857pubmed:year2007lld:pubmed
pubmed-article:17883857pubmed:articleTitleRobustness of the BYM model in absence of spatial variation in the residuals.lld:pubmed
pubmed-article:17883857pubmed:affiliationInserm, U754, Villejuif, F-94807, France. aurelien.latouche@paris7.jussieu.frlld:pubmed
pubmed-article:17883857pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:17883857pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed