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Multiscale measurement error models for aggregated small area health data
Spatial data are often aggregated from a finer (smaller) to a coarser (larger) geographical level. The process of data aggregation induces a scaling effect which smoothes the variation in the data. To address the scaling problem, multiscale models that link the convolution models at different scale...
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| Publié dans: | Stat Methods Med Res |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2016
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5437596/ https://ncbi.nlm.nih.gov/pubmed/27566773 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280216661094 |
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