{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T05:47:33Z","timestamp":1772776053076,"version":"3.50.1"},"reference-count":21,"publisher":"Public Library of Science (PLoS)","issue":"1","license":[{"start":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T00:00:00Z","timestamp":1580428800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100005825","name":"National Institute of Food and Agriculture","doi-asserted-by":"publisher","award":["2018-67030-28361"],"award-info":[{"award-number":["2018-67030-28361"]}],"id":[{"id":"10.13039\/100005825","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"DOI":"10.1371\/journal.pone.0220427","type":"journal-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T13:26:13Z","timestamp":1580477173000},"page":"e0220427","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":12,"title":["A hierarchical Bayesian latent class mixture model with censorship for detection of linear temporal changes in antibiotic resistance"],"prefix":"10.1371","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4745-4662","authenticated-orcid":true,"given":"Min","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Annette","family":"O\u2019Connor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2020,1,31]]},"reference":[{"issue":"4","key":"pone.0220427.ref001","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/S0924-8579(02)00028-6","article-title":"Breakpoints: current practice and future perspectives","volume":"19","author":"JW Mouton","year":"2002","journal-title":"International Journal of Antimicrobial Agents. Elsevier"},{"key":"pone.0220427.ref002","doi-asserted-by":"crossref","first-page":"1557","DOI":"10.1128\/AAC.05777-11","article-title":"New statistical technique for analyzing MIC-based susceptibility data","volume":"56","author":"J van de Kassteele","year":"2012","journal-title":"Antimicrobial Agents and Chemotherapy. American Society for Microbiology"},{"issue":"3","key":"pone.0220427.ref003","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/S0732-8893(99)00130-3","article-title":"Modeling approach to diameter breakpoint determination","volume":"36","author":"BA Craig","year":"2000","journal-title":"Diagnostic Microbiology and Infectious Disease. Elsevier"},{"issue":"12","key":"pone.0220427.ref004","doi-asserted-by":"crossref","first-page":"3932","DOI":"10.1016\/j.csda.2009.05.006","article-title":"A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data","volume":"53","author":"A Kom\u00e1rek","year":"2009","journal-title":"Computational Statistics & Data Analysis. Elsevier"},{"key":"pone.0220427.ref005","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.csda.2013.01.024","article-title":"A new semi-parametric mixture model for interval censored data, with applications in the field of antimicrobial resistance","volume":"71","author":"S Jaspers","year":"2014","journal-title":"Computational Statistics & Data Analysis. Elsevier"},{"issue":"1","key":"pone.0220427.ref006","first-page":"94","article-title":"Application of the vertex exchange method to estimate a semi-parametric mixture model for the MIC density of Escherichia coli isolates tested for susceptibility against ampicillin","volume":"17","author":"S Jaspers","year":"2016","journal-title":"Biostatistics. Oxford University Press"},{"issue":"2","key":"pone.0220427.ref007","doi-asserted-by":"crossref","first-page":"906","DOI":"10.1214\/16-AOAS918","article-title":"A Bayesian approach to the semiparametric estimation of a minimum inhibitory concentration distribution","volume":"10","author":"S Jaspers","year":"2016","journal-title":"The Annals of Applied Statistics. Institute of Mathematical Statistics"},{"issue":"1","key":"pone.0220427.ref008","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1111\/j.1863-2378.2010.01356.x","article-title":"Canadian integrated program for antimicrobial resistance surveillance (CIPARS) farm program: results from finisher pig surveillance","volume":"57","author":"A Deckert","year":"2010","journal-title":"Zoonoses and Public Health. Wiley Online Library"},{"issue":"11","key":"pone.0220427.ref009","article-title":"Escherichia coli and Staphylococcus aureus: bad news and good news from the European Antimicrobial Resistance Surveillance Network (EARS-Net, formerly EARSS), 2002 to 2009","volume":"16","author":"C Gagliotti","year":"2011","journal-title":"Euro surveillance. European Centre for Disease Prevention and Control"},{"key":"pone.0220427.ref010","unstructured":"The National Antimicrobial Resistance Monitoring System: manual of laboratory methods (third edition). Available from: https:\/\/www.fda.gov\/media\/101423\/download. 2016."},{"issue":"12","key":"pone.0220427.ref011","article-title":"Development of statistical methods for the evaluation of data on antimicrobial resistance in bacterial isolates from animals and food","volume":"8","author":"M Aerts","year":"2011","journal-title":"EFSA Supporting Publications. Wiley Online Library"},{"issue":"5","key":"pone.0220427.ref012","first-page":"505","article-title":"Antimicrobial resistance trends among Salmonella isolates obtained from horses in the northeastern United States (2001\u20132013)","volume":"77","author":"KJ Cummings","year":"2016","journal-title":"American Journal of Veterinary Research. American Veterinary Medical Association"},{"issue":"4","key":"pone.0220427.ref013","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.prevetmed.2015.09.001","article-title":"A trend analysis of antimicrobial resistance in commensal Escherichia coli from several livestock species in Belgium (2011\u20132014)","volume":"122","author":"JB Hanon","year":"2015","journal-title":"Preventive Veterinary Medicine. Elsevier"},{"issue":"5","key":"pone.0220427.ref014","doi-asserted-by":"crossref","first-page":"741","DOI":"10.3201\/eid1805.111153","article-title":"Antimicrobial drug resistance in Escherichia coli from humans and food animals, United States, 1950\u20132002","volume":"18","author":"DA Tadesse","year":"2012","journal-title":"Emerging Infectious Diseases. Centers for Disease Control and Prevention"},{"issue":"1","key":"pone.0220427.ref015","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1089\/fpd.2017.2301","article-title":"Potential information loss due to categorization of Minimum Inhibitory Concentration frequency distributions","volume":"15","author":"R Mazloom","year":"2018","journal-title":"Foodborne Pathogens and Disease"},{"issue":"8","key":"pone.0220427.ref016","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1016\/j.cmi.2016.05.007","article-title":"From MIC creep to MIC decline: Staphylococcus aureus antibiotic susceptibility evolution over the last 4 years","volume":"22","author":"J Ruiz","year":"2016","journal-title":"Clinical Microbiology and Infection. Elsevier"},{"issue":"4","key":"pone.0220427.ref017","first-page":"535","article-title":"Descriptive statistical analyses of serial dilution data","volume":"7","author":"MA Hamilton","year":"1988","journal-title":"Statistics in Medicine. Wiley Online Library"},{"issue":"23","key":"pone.0220427.ref018","first-page":"3631","article-title":"Statistical properties and inference of the antimicrobial MIC test","volume":"24","author":"DH Annis","year":"2005","journal-title":"Statistics in Medicine. Wiley Online Library"},{"key":"pone.0220427.ref019","doi-asserted-by":"crossref","DOI":"10.1201\/9781482293456","volume-title":"Generalized Linear Models: A Bayesian Perspective","author":"DK Dey","year":"2000"},{"issue":"2","key":"pone.0220427.ref020","article-title":"Using machine learning to predict antimicrobial MICs and associated genomic features for nontyphoidal Salmonella","volume":"57","author":"M Nguyen","year":"2019","journal-title":"Journal of Clinical Microbiology. American Society for Microbiology"},{"issue":"1","key":"pone.0220427.ref021","first-page":"7","article-title":"Bayesian estimation of multivariate normal mixtures with covariate -dependent mixing weights, with an application in antimicrobial resistance monitoring","volume":"60","author":"S Jaspers","year":"2018","journal-title":"Biometrical Journal. Wiley Online Library"}],"container-title":["PLOS ONE"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0220427","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T13:26:28Z","timestamp":1580477188000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0220427"}},"subtitle":[],"editor":[{"given":"Praveen","family":"Rishi","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2020,1,31]]},"references-count":21,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2020,1,31]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pone.0220427","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/705897","asserted-by":"object"}]},"ISSN":["1932-6203"],"issn-type":[{"value":"1932-6203","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,31]]}}}