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...

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Detalles Bibliográficos
Autores principales: Ruckthongsook, Warangkana, Tiwari, Chetan, Oppong, Joseph R., Natesan, Prathiba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology
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

Internet

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

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