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A hierarchical Bayesian latent class mixture model with censorship for detection of linear temporal changes in antibiotic resistance
Identifying and controlling the emergence of antimicrobial resistance (AMR) is a high priority for researchers and public health officials. One critical component of this control effort is timely detection of emerging or increasing resistance using surveillance programs. Currently, detection of temp...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6993983/ https://www.ncbi.nlm.nih.gov/pubmed/32004341 http://dx.doi.org/10.1371/journal.pone.0220427 |