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A Bayesian space–time model for clustering areal units based on their disease trends

Population-level disease risk across a set of non-overlapping areal units varies in space and time, and a large research literature has developed methodology for identifying clusters of areal units exhibiting elevated risks. However, almost no research has extended the clustering paradigm to identif...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Biostatistics
Egile Nagusiak: Napier, Gary, Lee, Duncan, Robertson, Chris, Lawson, Andrew
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Oxford University Press 2019
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC6797054/
https://ncbi.nlm.nih.gov/pubmed/29917057
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxy024
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