Show simple item record

dc.contributor.advisorPowers, Daniel A.en
dc.creatorYe, Na, 1983-en
dc.date.accessioned2011-08-05T18:47:36Zen
dc.date.available2011-08-05T18:47:36Zen
dc.date.created2011-05en
dc.date.issued2011-08-05en
dc.date.submittedMay 2011en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2011-05-3293en
dc.descriptiontexten
dc.description.abstractThe Vaccine Adverse Event Reporting System (VAERS) received thousands of reports of adverse events that occurred after vaccine administrations from the post-marketing vaccine safety surveillance. However, the causality between vaccines and reported adverse events cannot be taken for granted. In this report several data mining methods were applied to VAERS database that is coded in MedDRA terms to discover possible associations between vaccines and adverse events. Efforts were devoted to identify events that are reported more frequently after administering one vaccine than other vaccines using the following data mining techniques: relative ratio (RR), statistical significance (LogP), proportional reporting ratio (PRR), and screened PRR (SPRR). The vaccine-event combinations that ranked top in each method varied substantially among the methods. RR and PRR gave excessive weight to small counts of vaccine-event pairs, but SPRR was able to correct this weakness. There are only 33 vaccine-event pairs that were shared among the top 1,000 ranked in each method. Evaluating the properties of these data mining methods and exploring other methods will help improve vaccine safety surveillance.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.subjectVaccineen
dc.subjectAdverse eventen
dc.subjectData miningen
dc.subjectRelative risken
dc.subjectProportional relative risken
dc.subjectScreened proportional reporting ratioen
dc.titleVaccine-adverse event association analysis on the VAERS databaseen
dc.date.updated2011-08-05T18:47:40Zen
dc.identifier.slug2152/ETD-UT-2011-05-3293en
dc.contributor.committeeMemberSaar-Tsechansky, Maytalen
dc.description.departmentStatisticsen
dc.type.genrethesisen
thesis.degree.departmentStatisticsen
thesis.degree.disciplineStatisticsen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Statisticsen


Files in this item

Icon

This item appears in the following Collection(s)

Show simple item record