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APPLICATION OF THE EMPIRICAL LIKELIHOOD METHOD IN PROPORTIONAL HAZARDS MODEL
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TitleAPPLICATION OF THE EMPIRICAL LIKELIHOOD METHOD IN PROPORTIONAL HAZARDS MODEL
AuthorHe, Bin
KeywordsDissertations, Academic -- Sciences
Sciences -- Dissertations, Academic
Statistical hypothesis testing
Survival analysis (Biometry)
Bootstrap
Confidence interval
Cox model
Doubly censored data
Empirical likelihood function
Goodness of fit test
Maximum likelihood
Partly interval censored data
Proportional hazards model
Right censored data
Survival analysis
AbstractIn survival analysis, proportional hazards model is the most commonly used and the Cox model is the most popular. These models are developed to facilitate statistical analysis frequently encountered in medical research or reliability studies. In analyzing real data sets, checking the validity of the model assumptions is a key component. However, the presence of complicated types of censoring such as double censoring and partly interval-censoring in survival data makes model assessment difficult, and the existing tests for goodness-of-fit do not have direct extension to these complicated types of censored data. In this work, we use empirical likelihood (Owen, 1988) approach to construct goodness-of-fit test and provide estimates for the Cox model with various types of censored data. Specifically, the problems under consideration are the two-sample Cox model and stratified Cox model with right censored data, doubly censored data and partly interval-censored data. Related computational issues are discussed, and some simulation results are presented. The procedures developed in the work are applied to several real data sets with some discussion.
AdviserRen, Jian-Jian
PublisherUniversity of Central Florida
DegreePh.D.
Degree DisciplineDepartment of Mathematics
Degree GrantorSciences
Degree ProgramMathematics
Graduation Date2006-05-01
TypeDoctoral dissertation
Access LevelPublic - Allow Worldwide Access
Release Date2007-01-31
RepositoryUniversity Archives
Repository CollectionElectronic Theses and Dissertations
IdentifierCFE0001099
Access Linkhttp://purl.fcla.edu/fcla/etd/CFE0001099

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