Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/21142Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | HENS, Niel | - |
| dc.contributor.advisor | Coenen, Samuel | - |
| dc.contributor.advisor | AERTS, Marc | - |
| dc.contributor.author | BRUYNDONCKX, Robin | - |
| dc.date.accessioned | 2016-05-19T12:04:34Z | - |
| dc.date.available | 2016-05-19T12:04:34Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.uri | http://hdl.handle.net/1942/21142 | - |
| dc.language.iso | en | - |
| dc.title | Statistical modelling strategies for monitoring antibiotic use and resistance | - |
| dc.type | Theses and Dissertations | - |
| local.format.pages | 182 | - |
| local.bibliographicCitation.jcat | T1 | - |
| local.type.refereed | Non-Refereed | - |
| local.type.specified | Phd thesis | - |
| item.fulltext | With Fulltext | - |
| item.fullcitation | BRUYNDONCKX, Robin (2016) Statistical modelling strategies for monitoring antibiotic use and resistance. | - |
| item.contributor | BRUYNDONCKX, Robin | - |
| item.accessRights | Open Access | - |
| Appears in Collections: | PhD theses Research publications | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| thesis BRuyndonckx.pdf | 3.74 MB | Adobe PDF | View/Open |
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