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Please use this identifier to cite or link to this item: http://hdl.handle.net/1974/6976

This item is restricted and will be released 2017-01-24.

Title: Statistical Modeling and Analysis for Survival Data with a Cure Fraction

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Jianfeng_Xu_201201_PhD.pdf620.42 kBAdobe PDFView/Open
Keywords: proportional hanzards model
Length-biased Data
cure model
Nonparametric estimation
Nonparametric Maximum Likelihood
transformation model
Issue Date: 26-Jan-2012
Series/Report no.: Canadian theses
Abstract: The analysis of survival data with a possible cure fraction has attracted much interest in the last two decades. Various models and estimating methods have been proposed for such data and they have been applied in many fields, especially in cancer clinical trials. In the thesis, we consider some new general cure models, which include existing survival models as their special cases. We also consider a nonparametric estimation of cure rate. The estimator is proved consistent and asymptotically normal. We also consider the application of proportional density for cure data and the analysis of length-biased cure data.
Description: Thesis (Ph.D, Mathematics & Statistics) -- Queen's University, 2012-01-26 09:53:08.127
URI: http://hdl.handle.net/1974/6976
Appears in Collections:Queen's Graduate Theses and Dissertations
Department of Mathematics and Statistics Graduate Theses

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