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Gaining relevance from the random: Interpreting observed spatial heterogeneity
In Bayesian disease mapping, spatial random effects are used to account for confounding in the data so that reasonable estimates for the fixed effects can be obtained. Typically, the spatial random effects are mapped and qualitative comments are made related to an increase or decrease in risk for ce...
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| Vydáno v: | Spat Spatiotemporal Epidemiol |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7983284/ https://ncbi.nlm.nih.gov/pubmed/29751888 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.sste.2018.01.002 |
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