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dc.contributor.authorLing, Shen
dc.date.accessioned2014-08-14T16:40:17Z
dc.date.available2014-08-14T16:40:17Z
dc.date.issued2014-08-14
dc.identifier.urihttp://hdl.handle.net/10222/53778
dc.descriptionThe thesis is motivated by a study investigating the causality between vaccination and seizures, or more general adverse events. The assumption is that seizure events occur according to a homogeneous Poisson process, and that the rate may change after vaccination. The observation period consists of a baseline or low risk interval, and a high risk interval after vaccination. Three methods for estimating the relative incidence rate are considered - an unconditional method with allows for different rates before and after vaccination, a conditional method which conditions on the total number of events in the two intervals, and the self-controlled case series (SCCS) method, which conditions on a subject having at least one event. The performance of the methods, with particular emphasis on their MSE, power, and efficiency, is considered, under both full cohort and case series sampling designs.en_US
dc.description.abstractThis paper compares the three methods -conditional Poisson method, unconditional Poisson method and self-controlled case series (SCCS) method, based on the retrospective cohort study with full cohort and case series sampling designs, with particular emphasis on their assumptions, power, MSE, relative efficiency, and handling of confounding. The performance of the three methods is contrasted in a study investigating the causality between vaccination and rare adverse events seizures. And we extend these methods to random effect model.en_US
dc.language.isoenen_US
dc.titleStatistical Methods for the Analysis of Case Series Dataen_US
dc.date.defence2014-08-08
dc.contributor.departmentDepartment of Mathematics & Statistics - Statistics Divisionen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorProf. Hong Guen_US
dc.contributor.thesis-readerProfs. Hong Gu and Chris Fielden_US
dc.contributor.thesis-supervisorProf. Bruce Smithen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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