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Evaluation of threshold selection methods for adaptive kernel density estimation in disease mapping
BACKGROUND: Maps of disease rates produced without careful consideration of the underlying population distribution may be unreliable due to the well-known small numbers problem. Smoothing methods such as Kernel Density Estimation (KDE) are employed to control the population basis of spatial support...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5938815/ https://www.ncbi.nlm.nih.gov/pubmed/29739415 http://dx.doi.org/10.1186/s12942-018-0129-9 |