Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/12721
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorAERTS, Marc-
dc.contributor.authorJASPERS, Stijn-
dc.date.accessioned2011-11-25T09:06:32Z-
dc.date.available2011-11-25T09:06:32Z-
dc.date.issued2011-
dc.identifier.urihttp://hdl.handle.net/1942/12721-
dc.format.mimetypeApplication/pdf-
dc.languageen-
dc.language.isoen-
dc.publishertUL Diepenbeek-
dc.titleDevelopment of a new semi-parametric mixture model for interval censored data, with applications in antimicrobial resistance-
dc.typeTheses and Dissertations-
local.format.pages0-
local.bibliographicCitation.jcatT2-
dc.description.notesmaster of Statistics-Epidemiology & Public Health Methodology-
local.type.specifiedMaster thesis-
dc.bibliographicCitation.oldjcatD2-
item.accessRightsOpen Access-
item.contributorJASPERS, Stijn-
item.fulltextWith Fulltext-
item.fullcitationJASPERS, Stijn (2011) Development of a new semi-parametric mixture model for interval censored data, with applications in antimicrobial resistance.-
Appears in Collections:Master theses
Files in This Item:
File Description SizeFormat 
06239902010093.pdf2.11 MBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check


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