A comparison of methods for analysing interval-censored and truncated survival data

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dc.contributor.advisorJuritz, Juneen_ZA
dc.contributor.authorDavidse, Alistairen_ZA
dc.date.accessioned2014-07-30T17:43:56Z
dc.date.available2014-07-30T17:43:56Z
dc.date.issued2004en_ZA
dc.descriptionBibliography: leaves 49-50.
dc.description.abstractThis thesis examines three methods for analysing right-censored data: the Cox proportional hazards model (Cox, 1972), the Buckley-James regression model (Buckley and James, 1979) and the accelerated failure time model. These models are extended to incorporate the analysis of interval-censored and left-truncated data. The models are compared in an attempt to determine whether one model performs better than the others in terms of goodness-of-it and in terms of predictive power. Plots of the residuals and random effects from the Cox proportional hazards model are also examined.en_ZA
dc.identifier.apacitationDavidse, A. (2004). <i>A comparison of methods for analysing interval-censored and truncated survival data</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Statistical Sciences. Retrieved from http://hdl.handle.net/11427/4376en_ZA
dc.identifier.chicagocitationDavidse, Alistair. <i>"A comparison of methods for analysing interval-censored and truncated survival data."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2004. http://hdl.handle.net/11427/4376en_ZA
dc.identifier.citationDavidse, A. 2004. A comparison of methods for analysing interval-censored and truncated survival data. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Davidse, Alistair AB - This thesis examines three methods for analysing right-censored data: the Cox proportional hazards model (Cox, 1972), the Buckley-James regression model (Buckley and James, 1979) and the accelerated failure time model. These models are extended to incorporate the analysis of interval-censored and left-truncated data. The models are compared in an attempt to determine whether one model performs better than the others in terms of goodness-of-it and in terms of predictive power. Plots of the residuals and random effects from the Cox proportional hazards model are also examined. DA - 2004 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2004 T1 - A comparison of methods for analysing interval-censored and truncated survival data TI - A comparison of methods for analysing interval-censored and truncated survival data UR - http://hdl.handle.net/11427/4376 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/4376
dc.identifier.vancouvercitationDavidse A. A comparison of methods for analysing interval-censored and truncated survival data. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Statistical Sciences, 2004 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/4376en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Statistical Sciencesen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherMathematical Statisticsen_ZA
dc.titleA comparison of methods for analysing interval-censored and truncated survival dataen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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