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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Min, Wang, Chong, O’Connor, Annette M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
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

Internet

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

Ejemplares similares