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http://hdl.handle.net/1942/40211
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DC Field | Value | Language |
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dc.date.accessioned | 2023-05-30T13:32:47Z | - |
dc.date.available | 2023-05-30T13:32:47Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2023-05-30T13:31:14Z | - |
dc.identifier.citation | Figshare. 10.1371/journal.pone.0277866.s001 10.1371/journal.pone.0277866.s002 10.1371/journal.pone.0277866.s003 | - |
dc.identifier.uri | http://hdl.handle.net/1942/40211 | - |
dc.description.abstract | Monitoring and investigating temporal trends in antimicrobial data is a high priority for human and animal health authorities. Timely detection of temporal changes in antimicrobial resistance (AMR) can rely not only on monitoring and analyzing the proportion of resistant isolates based on the use of a clinical or epidemiological cut-off value, but also on more subtle changes and trends in the full distribution of minimum inhibitory concentration (MIC) values. The nature of the MIC distribution is categorical and ordinal (discrete). In this contribution, we developed a particular family of multicategory logit models for estimating and modelling MIC distributions over time. It allows the detection of a multitude of temporal trends in the full discrete distribution, without any assumption on the underlying continuous distribution for the MIC values. The experimental ranges of the serial dilution experiments may vary across laboratories and over time. The proposed categorical model allows to estimate the MIC distribution over the maximal range of the observed experiments, and allows the observed ranges to vary across labs and over time. The use and performance of the model is illustrated with two datasets on AMR in Salmonella. | - |
dc.description.sponsorship | Horizon 2020 Research and Innovation programme (grant agreement No 773830: One Health European Joint Programme (https://onehealthejp.eu/about/)) | - |
dc.language.iso | en | - |
dc.publisher | Figshare | - |
dc.subject.classification | Probability theory | - |
dc.subject.other | Antimicrobial resistance | - |
dc.subject.other | Distribution Curves | - |
dc.subject.other | Antimicrobials | - |
dc.subject.other | Salmonella | - |
dc.subject.other | Statistical distributions | - |
dc.subject.other | Swine | - |
dc.subject.other | Europe | - |
dc.subject.other | Probability distribution | - |
dc.title | A multicategory logit model detecting temporal changes in antimicrobial resistance | - |
dc.type | Dataset | - |
local.bibliographicCitation.jcat | DS | - |
local.type.specified | component | - |
dc.rights.license | Creative Commons Attribution 4.0 International (CC-BY-4.0) | - |
dc.identifier.doi | 10.1371/journal.pone.0277866.s001 | - |
dc.identifier.doi | 10.1371/journal.pone.0277866.s002 | - |
dc.identifier.doi | 10.1371/journal.pone.0277866.s003 | - |
local.provider.type | CrossRef | - |
local.uhasselt.international | yes | - |
local.contributor.datacreator | AERTS, Marc | - |
local.contributor.datacreator | Tzu-yun Teng, Kendy | - |
local.contributor.datacreator | JASPERS, Stijn | - |
local.contributor.datacreator | Alvarez Sanchez, Julio | - |
local.contributor.datacurator | AERTS, Marc | - |
local.contributor.rightsholder | AERTS, Marc | - |
local.format.mimetype | - | |
local.contributororcid.datacreator | 0000-0002-1803-9072 | - |
local.contributororcid.datacreator | 0000-0003-3200-1545 | - |
local.contributororcid.datacurator | 0000-0002-1803-9072 | - |
local.contributororcid.rightsholder | 0000-0002-1803-9072 | - |
local.publication.doi | 10.1371/journal.pone.0277866 | - |
local.contributingorg.rightsholder | Hasselt University | - |
dc.rights.access | Open Access | - |
item.fullcitation | AERTS, Marc; Tzu-yun Teng, Kendy; JASPERS, Stijn & Alvarez Sanchez, Julio (2022) A multicategory logit model detecting temporal changes in antimicrobial resistance. Figshare. 10.1371/journal.pone.0277866.s001 10.1371/journal.pone.0277866.s002 10.1371/journal.pone.0277866.s003. | - |
item.contributor | AERTS, Marc | - |
item.contributor | Tzu-yun Teng, Kendy | - |
item.contributor | JASPERS, Stijn | - |
item.contributor | Alvarez Sanchez, Julio | - |
item.accessRights | Closed Access | - |
item.fulltext | No Fulltext | - |
crisitem.license.code | CC-BY-4.0 | - |
crisitem.license.name | Creative Commons Attribution 4.0 International (CC-BY-4.0) | - |
crisitem.discipline.code | 01010702 | - |
crisitem.discipline.name | Probability theory | - |
crisitem.discipline.path | Natural sciences > Mathematical sciences > Statistics and numerical methods > Probability theory | - |
crisitem.discipline.pathandcode | Natural sciences > Mathematical sciences > Statistics and numerical methods > Probability theory (01010702) | - |
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