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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| 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 |