Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16246
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorMOLENBERGHS, Geert-
dc.contributor.advisorALONSO ABAD, Ariel-
dc.contributor.authorMILANZI, Elasma-
dc.date.accessioned2014-01-31T07:52:51Z-
dc.date.available2014-01-31T07:52:51Z-
dc.date.issued2013-
dc.identifier.urihttp://hdl.handle.net/1942/16246-
dc.language.isoen-
dc.titleFlexible Modeling For Hierarchical Data, Data With Random Sample Sizes and Selection Bias, with Applications in Pharmaceutical Research-
dc.typeTheses and Dissertations-
local.bibliographicCitation.jcatT1-
local.type.refereedNon-Refereed-
local.type.specifiedPhd thesis-
item.accessRightsOpen Access-
item.fullcitationMILANZI, Elasma (2013) Flexible Modeling For Hierarchical Data, Data With Random Sample Sizes and Selection Bias, with Applications in Pharmaceutical Research.-
item.fulltextWith Fulltext-
item.contributorMILANZI, Elasma-
Appears in Collections:PhD theses
Research publications
Files in This Item:
File Description SizeFormat 
Thesis_Ela_03.pdf1.15 MBAdobe PDFView/Open
Show simple item record

Page view(s)

40
checked on Nov 7, 2023

Download(s)

10
checked on Nov 7, 2023

Google ScholarTM

Check


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