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http://hdl.handle.net/1942/29300
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | MOLENBERGHS, Geert | - |
dc.contributor.advisor | BUYSE, Marc | - |
dc.contributor.author | DELTUVAITE-THOMAS, Vaiva | - |
dc.date.accessioned | 2019-09-17T08:27:23Z | - |
dc.date.available | 2019-09-17T08:27:23Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://hdl.handle.net/1942/29300 | - |
dc.description.abstract | The 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.mimetype | Application/pdf | - |
dc.language | en | - |
dc.publisher | tUL | - |
dc.title | Statistical inference using generalized pairwise comparisons | - |
dc.type | Theses and Dissertations | - |
local.format.pages | 0 | - |
local.bibliographicCitation.jcat | T2 | - |
dc.description.notes | Master of Statistics-Biostatistics | - |
local.type.specified | Master thesis | - |
item.fulltext | With Fulltext | - |
item.fullcitation | DELTUVAITE-THOMAS, Vaiva (2018) Statistical inference using generalized pairwise comparisons. | - |
item.accessRights | Open Access | - |
item.contributor | DELTUVAITE-THOMAS, Vaiva | - |
Appears in Collections: | Master theses |
Files in This Item:
File | Description | Size | Format | |
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2325ec7f-ddf3-4017-b6da-9bfdddd515db.pdf | 3.12 MB | Adobe PDF | View/Open |
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