A hierarchical Bayesian latent class mixture model with censorship for detection of linear temporal changes in antibiotic resistance
Author:
Funder
National Institute of Food and Agriculture
Publisher
Public Library of Science (PLoS)
Subject
Multidisciplinary
Reference21 articles.
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2. New statistical technique for analyzing MIC-based susceptibility data;J van de Kassteele;Antimicrobial Agents and Chemotherapy. American Society for Microbiology,2012
3. Modeling approach to diameter breakpoint determination;BA Craig;Diagnostic Microbiology and Infectious Disease. Elsevier,2000
4. A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data;A Komárek;Computational Statistics & Data Analysis. Elsevier,2009
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