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Cure rate estimation based on uncensored and censored data

Title:

Cure rate estimation based on uncensored and censored data

Uddin, Mohammed Taj (2004) Cure rate estimation based on uncensored and censored data. Masters thesis, Concordia University.

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Abstract

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.

Divisions:Concordia University > Faculty of Arts and Science > Mathematics and Statistics
Item Type:Thesis (Masters)
Authors:Uddin, Mohammed Taj
Pagination:vi, 77 leaves ; 29 cm.
Institution:Concordia University
Degree Name:M. Sc.
Program:Mathematics and Statistics
Date:2004
Thesis Supervisor(s):Sen, Arusharka
ID Code:8118
Deposited By:Concordia University Libraries
Deposited On:18 Aug 2011 14:15
Last Modified:18 Aug 2011 14:15
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