Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29300
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dc.contributor.advisorMOLENBERGHS, Geert-
dc.contributor.advisorBUYSE, Marc-
dc.contributor.authorDELTUVAITE-THOMAS, Vaiva-
dc.date.accessioned2019-09-17T08:27:23Z-
dc.date.available2019-09-17T08:27:23Z-
dc.date.issued2018-
dc.identifier.urihttp://hdl.handle.net/1942/29300-
dc.description.abstractThe thesis focuses on the method of Generalized Pairwise Comparisons (GPC) in the context of repeated outcome measurements, and more specifically looking into the impact of different missingness mechanisms (missing completely at random, missing at random, and missing not at random) on the inference based on the GPC.-
dc.format.mimetypeApplication/pdf-
dc.languageen-
dc.publishertUL-
dc.titleStatistical inference using generalized pairwise comparisons-
dc.typeTheses and Dissertations-
local.format.pages0-
local.bibliographicCitation.jcatT2-
dc.description.notesMaster of Statistics-Biostatistics-
local.type.specifiedMaster thesis-
item.fulltextWith Fulltext-
item.fullcitationDELTUVAITE-THOMAS, Vaiva (2018) Statistical inference using generalized pairwise comparisons.-
item.accessRightsOpen Access-
item.contributorDELTUVAITE-THOMAS, Vaiva-
Appears in Collections:Master theses
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