Identification of optimal moderators in clinical trials

dc.contributor.advisorDaniels, Michael Josephen
dc.contributor.committeeMemberMuller, Peteren
dc.creatorWang, Li, M.S. in Statisticsen
dc.creator.orcid0000-0001-5081-094Xen
dc.date.accessioned2015-11-16T19:41:31Zen
dc.date.available2015-11-16T19:41:31Zen
dc.date.issued2015-05en
dc.date.submittedMay 2015en
dc.date.updated2015-11-16T19:41:31Zen
dc.descriptiontexten
dc.description.abstractModerators and mediators can be very informative in the analysis of clinical trials to help determine what treatment should be assigned to individuals (moderators) and to determine how to improve treatments (mediators). It is well known that a treatment might not be equally beneficial to everyone and an overall effective treatment may be less effective (or even harmful) in certain groups; this highlights the importance of moderators in making treatment assignment decisions. A combined moderator, or optimal moderator, can be useful when multiple potential moderators exist, but no individual one is particularly strong. This report reviews how to assess a single moderator as well as approaches to derive an optimal moderator. An example from randomized clinical trial is presented, including the identification of an optimal moderator.en
dc.description.departmentStatisticsen
dc.format.mimetypeapplication/pdfen
dc.identifierdoi:10.15781/T24323en
dc.identifier.urihttp://hdl.handle.net/2152/32502en
dc.language.isoenen
dc.subjectModeratoren
dc.subjectOptimal moderatoren
dc.subjectEffect sizeen
dc.titleIdentification of optimal moderators in clinical trialsen
dc.typeThesisen
thesis.degree.departmentStatisticsen
thesis.degree.disciplineStatisticsen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Statisticsen

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