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A Bayesian latent class mixture model with censoring for correlation analysis in antimicrobial resistance across populations
BACKGROUND: The emergence of antimicrobial resistance across populations is a global threat to public health. Surveillance programs often monitor human and animal populations to evaluate trends of emergence in these populations. Many national level antibiotic resistance surveillance programs quantif...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454148/ https://www.ncbi.nlm.nih.gov/pubmed/34544374 http://dx.doi.org/10.1186/s12874-021-01384-w |