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dc.contributor.advisorStrand, Matthew
dc.contributor.authorNelson, Daniel
dc.contributor.committeememberGrunwald, Gary
dc.contributor.committeememberZerbe, Gary
dc.date.accessioned2007-01-03T06:32:30Z
dc.date.available2007-01-03T06:32:30Z
dc.date.submitted2014
dc.descriptionSpring
dc.descriptionIncludes bibliographical references.
dc.description.abstractTwelve years of longitudinal data for competitive runners of a 10k road race can be modeled with a mixed model based on a nonlinear population function that incorporates between-subject and within-subject covariate effects. This offers an improvement on generalized or nonlinear mixed models that ignore these effects. [Neuhaus and Kalbfleisch] The model allows for an examination of how subject-specific changes in performance by age differ from the population average.
dc.identifierNELSON_ucdenveramc_1639M_10135.pdf
dc.identifier.urihttp://hdl.handle.net/10968/515
dc.languageEnglish
dc.publisherUniversity of Colorado Anschutz Medical Campus. Strauss Health Sciences Library
dc.rightsCopyright of the original work is retained by the author.
dc.subjectWithin
dc.subjectBetween
dc.subject.meshRunning
dc.subject.meshNonlinear Dynamics
dc.subject.meshLongitudinal Studies
dc.subject.meshBiostatistics
dc.titleSeparating between-subject and within-subject nonlinear covariate effects, with application to longitudinal road racing data of competitive runners
dc.typeThesis
thesis.degree.disciplineBiostatistics
thesis.degree.grantorUniversity of Colorado at Denver, Anschutz Medical Campus
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)


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