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Modeling latent spatio-temporal disease incidence using penalized composite link models
Epidemiological data are frequently recorded at coarse spatio-temporal resolutions to protect confidential information or to summarize it in a compact manner. However, the detailed patterns followed by the source data, which may be of interest to researchers and public health officials, are overlook...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8912133/ https://www.ncbi.nlm.nih.gov/pubmed/35271577 http://dx.doi.org/10.1371/journal.pone.0263711 |