A Bayesian latent class mixture model with censoring for correlation analysis in antimicrobial resistance across populations

A Bayesian latent class mixture model with censoring for correlation analysis in antimicrobial resistance across populations

Abstract 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...

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Bibliographic Details
Main Authors: Min Zhang, Chong Wang, Annette M. O’Connor
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Medical Research Methodology
Subjects:
Correlation
Antimicrobial resistance
Minimum inhibitory concentration
Bayesian latent class model
NARMS
Online Access:https://doi.org/10.1186/s12874-021-01384-w

Internet

https://doi.org/10.1186/s12874-021-01384-w

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