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Comparison of tests for spatial heterogeneity on data with global clustering patterns and outliers
BACKGROUND: The ability to evaluate geographic heterogeneity of cancer incidence and mortality is important in cancer surveillance. Many statistical methods for evaluating global clustering and local cluster patterns are developed and have been examined by many simulation studies. However, the perfo...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2770045/ https://www.ncbi.nlm.nih.gov/pubmed/19822013 http://dx.doi.org/10.1186/1476-072X-8-55 |