Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21142
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorHENS, Niel-
dc.contributor.advisorCoenen, Samuel-
dc.contributor.advisorAERTS, Marc-
dc.contributor.authorBRUYNDONCKX, Robin-
dc.date.accessioned2016-05-19T12:04:34Z-
dc.date.available2016-05-19T12:04:34Z-
dc.date.issued2016-
dc.identifier.urihttp://hdl.handle.net/1942/21142-
dc.description.abstractnot available-
dc.language.isoen-
dc.titleStatistical modelling strategies for monitoring antibiotic use and resistance-
dc.typeTheses and Dissertations-
local.format.pages182-
local.bibliographicCitation.jcatT1-
local.type.refereedNon-Refereed-
local.type.specifiedPhd thesis-
item.fulltextWith Fulltext-
item.contributorBRUYNDONCKX, Robin-
item.fullcitationBRUYNDONCKX, Robin (2016) Statistical modelling strategies for monitoring antibiotic use and resistance.-
item.accessRightsOpen Access-
Appears in Collections:PhD theses
Research publications
Files in This Item:
File Description SizeFormat 
thesis BRuyndonckx.pdf3.74 MBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.