PMID: identifiant
de la référence Pubmed : |
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 (17883857)  |
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| titre : |
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Robustness of the BYM model in absence of spatial variation in the residuals. |
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| auteur(s) : |
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Aurélien Latouche ( ) 1, Chantal Guihenneuc-Jouyaux1, 2, Claire Girard1, Denis Hémon1 |
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| laboratoire : |
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| résumé : |
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ABSTRACT: BACKGROUND: 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. |
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| domaine : |
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Sciences du Vivant/Santé publique et épidémiologie
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langue du texte
intégral : |
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Anglais |
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| ISSN : |
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1476-072X |
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| type de publication : |
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Articles dans des revues avec comité de lecture |
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| DOI : |
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10.1186/1476-072X-6-39 |
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| journal : |
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| International Journal of Health Geographics |
| Publisher |
BioMed Central |
| ISSN |
1476-072X |
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| Audience : |
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non spécifiée |
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| date de publication : |
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20/09/2007 |
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date de publication
électronique : |
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20/09/2007 |
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| volume : |
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6 |
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| numéro : |
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1 |
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| page, identifiant, ... : |
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39 |
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