Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/20140
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dc.contributor.advisorAERTS, Marc-
dc.contributor.advisorHENS, Niel-
dc.contributor.authorAYELE, Girma-
dc.date.accessioned2016-01-05T11:37:17Z-
dc.date.available2016-01-05T11:37:17Z-
dc.date.issued2012-
dc.identifier.urihttp://hdl.handle.net/1942/20140-
dc.description.abstractnot available-
dc.language.isoen-
dc.titleStatistical Modelling Strategies for Public Health Research: Applications in the Surveillance of Antimicrobial Consumption, the Diagnosis of Acute Infections and the Diagnosis of Coronary Heart Disease-
dc.typeTheses and Dissertations-
local.format.pages177-
local.bibliographicCitation.jcatT1-
local.type.refereedNon-Refereed-
local.type.specifiedPhd thesis-
item.fulltextWith Fulltext-
item.contributorAYELE, Girma-
item.fullcitationAYELE, Girma (2012) Statistical Modelling Strategies for Public Health Research: Applications in the Surveillance of Antimicrobial Consumption, the Diagnosis of Acute Infections and the Diagnosis of Coronary Heart Disease.-
item.accessRightsOpen Access-
Appears in Collections:PhD theses
Research publications
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