PMID: identifier of
Pubmed reference: |
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 (17883857)  |
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| title: |
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Robustness of the BYM model in absence of spatial variation in the residuals. |
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| author(s): |
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Aurélien Latouche ( ) 1, Chantal Guihenneuc-Jouyaux1, 2, Claire Girard1, Denis Hémon1 |
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| laboratory: |
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| abstract: |
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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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| subject: |
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Life Sciences/Health Care Sciences and Epidemiology
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| fulltext language: |
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English |
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| ISSN: |
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1476-072X |
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| publication format: |
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Article in peer-reviewed journal |
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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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not specified |
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| publication date: |
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2007-09-20 |
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| submission date: |
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2007-09-20 |
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| volume: |
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6 |
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| issue: |
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1 |
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| page, identifiant, ...: |
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39 |
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