Bayesian shared spatial‐component models to combine and borrow strength across sparse disease surveillance sources

Sophie Ancelet, Juan J. Abellan, Víctor J. Del Rio Vilas, Colin Birch, Sylvia Richardson

Open source

DOI: 10.1002/bimj.201000106
Published: 2012-05
Container: Biometrical Journal
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/bimj.201000106,
  title = {Bayesian shared spatial‐component models to combine and borrow strength across sparse disease surveillance sources},
  author = {Sophie Ancelet and Juan J. Abellan and Víctor J. Del Rio Vilas and Colin Birch and Sylvia Richardson},
  year = {2012},
  journal = {Biometrical Journal},
  doi = {10.1002/bimj.201000106},
  url = {https://doi.org/10.1002/bimj.201000106}
}

RIS

TY  - JOUR
TI  - Bayesian shared spatial‐component models to combine and borrow strength across sparse disease surveillance sources
AU  - Sophie Ancelet
AU  - Juan J. Abellan
AU  - Víctor J. Del Rio Vilas
AU  - Colin Birch
AU  - Sylvia Richardson
PY  - 2012
JO  - Biometrical Journal
DO  - 10.1002/bimj.201000106
UR  - https://doi.org/10.1002/bimj.201000106
ER  -

APA

Ancelet, S., Abellan, J. J., Vilas, V. J. D. R., Birch, C., & Richardson, S. (2012). Bayesian shared spatial‐component models to combine and borrow strength across sparse disease surveillance sources. Biometrical Journal. https://doi.org/10.1002/bimj.201000106

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crossref · retrieved 2026-11-10T06:44:40.493Z