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dc.contributor.advisorSørbye, Sigrunn Holbek
dc.contributor.authorTesfay, Yohannes Tedla
dc.date.accessioned2019-09-04T09:31:00Z
dc.date.available2019-09-04T09:31:00Z
dc.date.issued2019-05-21
dc.description.abstractThe goal of this thesis is analyse the incidence rate of the first ever myocardial infarction (MI) and the survival time after the MI. The data used for this purpose is from the Troms\o{} study surveys collected in the period from 1974 to 2008. This thesis provides a general introduction to latent Gaussian models and the methodology of integrated nested Laplace approximation. Specifically, the data is analysed using Bayesian age period cohort models and cox proportional hazards models.en_US
dc.identifier.urihttps://hdl.handle.net/10037/16086
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2019 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDSTA-3900
dc.subjectBayesian analysisen_US
dc.subjectmyocardial infarctionen_US
dc.subjectLatent gausssina modelsen_US
dc.subjectINLAen_US
dc.subjectAPC modelsen_US
dc.subjectSurvival modelsen_US
dc.subjectVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412en_US
dc.titleBayesian analysis of the occurrence of myocardial infarction in the LGM frameworken_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)