Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38557
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorMOLENBERGHS, Geert
dc.contributor.advisorVAN KEILEGOM, Ingrid
dc.contributor.advisorALONSO ABAD, Ariel
dc.contributor.authorStijven, Florian
dc.date.accessioned2022-09-26T08:21:18Z-
dc.date.available2022-09-26T08:21:18Z-
dc.date.issued2022
dc.identifier.urihttp://hdl.handle.net/1942/38557-
dc.format.mimetypeApplication/pdf
dc.languageen
dc.publishertUL
dc.titleAn Information-Theoretic Approach for the Evaluation of a Time-to -Event Surrogate Endpoints for a Time-to-Event True Endpoint, Based on Causal Inference
dc.typeTheses and Dissertations
local.bibliographicCitation.jcatT2
dc.description.notesMaster of Statistics and Data Science-Biostatistics
local.type.specifiedMaster thesis
item.contributorStijven, Florian-
item.fulltextWith Fulltext-
item.fullcitationStijven, Florian (2022) An Information-Theoretic Approach for the Evaluation of a Time-to -Event Surrogate Endpoints for a Time-to-Event True Endpoint, Based on Causal Inference.-
item.accessRightsOpen Access-
Appears in Collections:Master theses
Files in This Item:
File Description SizeFormat 
de4a680a-426f-416f-888d-b6942f080de4.pdf1.34 MBAdobe PDFView/Open
Show simple item record

Page view(s)

132
checked on Sep 10, 2023

Download(s)

116
checked on Sep 10, 2023

Google ScholarTM

Check


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