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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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Bibliografiske detaljer
Udgivet i:Spat Spatiotemporal Epidemiol
Main Authors: Carroll, Rachel, Zhao, Shanshan
Format: Artigo
Sprog:Inglês
Udgivet: 2018
Fag:
Online adgang: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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