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Data linkage and statistical modelling to provide stratified risk assessment for HAI
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dc.contributor.author | Kavanagh, Kim | |
dc.contributor.author | Pan, Jiafeng | |
dc.contributor.author | Robertson, Chris | |
dc.contributor.author | Bennie, Marion | |
dc.contributor.author | Marwick, Charis | |
dc.contributor.author | Mccowan, Colin | |
dc.date.accessioned | 2019-02-05T13:30:04Z | |
dc.date.available | 2019-02-05T13:30:04Z | |
dc.date.issued | 2017-04-19 | |
dc.identifier.citation | Kavanagh , K , Pan , J , Robertson , C , Bennie , M , Marwick , C & Mccowan , C 2017 , Data linkage and statistical modelling to provide stratified risk assessment for HAI . in International Journal of Population Data Science . vol. 1 , 277 , Swansea University , International Population Data Linkage Conference (IPDLN 2016) , Swansea , United Kingdom , 24/08/16 . https://doi.org/10.23889/ijpds.v1i1.297 | en |
dc.identifier.citation | conference | en |
dc.identifier.other | PURE: 257591762 | |
dc.identifier.other | PURE UUID: 740176dc-1f1c-4ab5-a162-57144da48a24 | |
dc.identifier.other | Bibtex: urn:bc3a7d824d841bc3003193b110f3e4f1 | |
dc.identifier.other | ORCID: /0000-0002-9466-833X/work/59465025 | |
dc.identifier.uri | http://hdl.handle.net/10023/17001 | |
dc.format.extent | 1 | |
dc.language.iso | eng | |
dc.publisher | Swansea University | |
dc.relation.ispartof | International Journal of Population Data Science | en |
dc.rights | August 2016 © The Authors. Open Access under CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en) | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | RA0421 Public health. Hygiene. Preventive Medicine | en |
dc.subject | NDAS | en |
dc.subject.lcc | QA75 | en |
dc.subject.lcc | RA0421 | en |
dc.title | Data linkage and statistical modelling to provide stratified risk assessment for HAI | en |
dc.type | Conference item | en |
dc.description.version | Publisher PDF | en |
dc.contributor.institution | University of St Andrews.School of Medicine | en |
dc.identifier.doi | https://doi.org/10.23889/ijpds.v1i1.297 | |
dc.identifier.url | http://eprints.gla.ac.uk/179050/ | en |
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