A weighted non-connectivity penalty for detection and inference of irregularly shaped clusters.
Methods for the detection and inference of irregularly shaped geographic clusters with count data are important tools in disease surveillance and epidemiology. Recently, several methods were developed which combine Kulldorff’s Spatial Scan Statistic with some penalty function to control the excessiv...
| Autor principal: | |
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| Outros Autores: | , , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2018
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| Assuntos: | |
| Texto completo: | http://www.repositorio.ufop.br/handle/123456789/9794 |
| País: | Brasil |
| Oai: | oai:localhost:123456789/9794 |