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Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters
BACKGROUND: Irregularly shaped spatial clusters are difficult to delineate. A cluster found by an algorithm often spreads through large portions of the map, impacting its geographical meaning. Penalized likelihood methods for Kulldorff's spatial scan statistics have been used to control the exc...
| Autores principales: | , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990730/ https://www.ncbi.nlm.nih.gov/pubmed/21034451 http://dx.doi.org/10.1186/1476-072X-9-55 |