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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...
שמור ב:
| הוצא לאור ב: | Spat Spatiotemporal Epidemiol |
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| Main Authors: | , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2018
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| נושאים: | |
| גישה מקוונת: | 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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