Evaluation of the Performance of Smoothing Functions in Generalized Additive Models for Spatial Variation in Disease

Generalized additive models (GAMs) with bivariate smoothing functions have been applied to estimate spatial variation in risk for many types of cancers. Only a handful of studies have evaluated the performance of smoothing functions applied in GAMs with regard to different geographical areas of elev...

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Detalles Bibliográficos
Autores principales: Siangphoe, Umaporn, Wheeler, David C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2015
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415687/
https://www.ncbi.nlm.nih.gov/pubmed/25983545
http://dx.doi.org/10.4137/CIN.S17300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415687/
https://www.ncbi.nlm.nih.gov/pubmed/25983545
http://dx.doi.org/10.4137/CIN.S17300

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