Predicting local malaria exposure using a Lasso-based two-level cross validation algorithm

Recent studies have highlighted the importance of local environmental factors to determine the fine-scale heterogeneity of malaria transmission and exposure to the vector. In this work, we compare a classical GLM model with backward selection with different versions of an automatic LASSO-based algor...

Descripción completa

Detalles Bibliográficos
Autores principales: Kouwaye, Bienvenue, Rossi, Fabrice, Fonton, Noël, Garcia, André, Dossou-Gbété, Simplice, Hounkonnou, Mahouton Norbert, Cottrell, Gilles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5663424/
https://www.ncbi.nlm.nih.gov/pubmed/29088280
http://dx.doi.org/10.1371/journal.pone.0187234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5663424/
https://www.ncbi.nlm.nih.gov/pubmed/29088280
http://dx.doi.org/10.1371/journal.pone.0187234

Ejemplares similares