Cure rate estimation based on uncensored and censored data

This thesis deals with the analysis of cure model under uncensored and censored data. First we provide related concepts and second, we develop the cure rate model. Thirdly, we study the non-parametric maximum likelihood method to estimate the parameter of cure model. We consider both uncensored and...

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Bibliographic Details
Main Author: Uddin, Mohammed Taj
Format: Others
Published: 2004
Online Access:http://spectrum.library.concordia.ca/8118/1/MQ94675.pdf
Uddin, Mohammed Taj <http://spectrum.library.concordia.ca/view/creators/Uddin=3AMohammed_Taj=3A=3A.html> (2004) Cure rate estimation based on uncensored and censored data. Masters thesis, Concordia University.
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Summary:This thesis deals with the analysis of cure model under uncensored and censored data. First we provide related concepts and second, we develop the cure rate model. Thirdly, we study the non-parametric maximum likelihood method to estimate the parameter of cure model. We consider both uncensored and censored data as well as Type 1 and Type 2 censoring to estimate the parameter of the model. Finally, we develop some parametric and non-parametric estimating equations to estimate the parameter of the cure rate model.