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...
Main Authors: | Min Zhang, Chong Wang, Annette M. O’Connor |
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Format: | Article |
Language: | English |
Published: |
BMC
2021-09-01
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Series: | BMC Medical Research Methodology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12874-021-01384-w |
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