Rank based methods in the factorial designs for longitudinal data with application to liver cancer studies

dc.creatorGao, Yuqing
dc.date.available2011-02-18T20:41:04Z
dc.date.issued2004-05
dc.degree.departmentStatisticsen_US
dc.description.abstractThe purpose of this research is to apply the rank based method (nonparametric method) in the factorial designs for longitudinai data with application to liver cancer studies. The hypotheses and test statistics are introduced for average group effect, average time effect, simple time effect, and the interaction between time and group. Two nonparametric models, Fl-LD-Fl model and LD-Fl model, are used to test the efficacy of green tea polyphnois (GTP) in reducing the concentration of aflatoxin Bl (AFBl) in blood samples and 8-hydroxy-2'-deoxyguanosine (8-OHdG) in urine samples. The results of this research could be a way to improve the chemoprevention in liver cancer.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2346/14470en_US
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.rights.availabilityUnrestricted.
dc.subjectGreen tea -- Therapeutic useen_US
dc.subjectNonparametric statisticsen_US
dc.subjectLiver -- Cancer -- Chemopreventionen_US
dc.subjectAflatoxins -- Carcinogenicityen_US
dc.subjectLongitudinal studiesen_US
dc.titleRank based methods in the factorial designs for longitudinal data with application to liver cancer studies
dc.typeThesis
thesis.degree.departmentStatistics
thesis.degree.departmentMathematics and Statistics
thesis.degree.disciplineStatistics
thesis.degree.grantorTexas Tech University
thesis.degree.levelMasters
thesis.degree.nameM.S.

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