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Permanent link (DOI): https://doi.org/10.7939/R35S4V

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Informative Random Censoring in Parametric Survival Models Open Access

Descriptions

Other title
Subject/Keyword
informative censoring
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Li, Weihong
Supervisor and department
Keumhee Carriere Chough, Department of Mathematical and Statistical Sciences
Examining committee member and department
A "Sentil" Senthilselvan, Public Health Sciences
Narasimha Prasad, Department of Mathematical and Statistical Sciences
Department
Department of Mathematical and Statistical Sciences
Specialization

Date accepted
2009-09-25T14:56:02Z
Graduation date
2009-11
Degree
Master of Science
Degree level
Master's
Abstract
Informative random censoring survival data are often seen in clinical trials. However, the methodology to deal with this kind of data has not been well developed due to difficulty of identifying the information. Several methods were proposed, for example, by \citet{Sia1}. We use simulation studies to investigate sensitivity of these methods and show that the maximum likelihood estimation (MLE) method provides narrower confidence intervals than \citet{Sia1}. This is true and expected under the same assumption as in \citet{Sia1}. However, we were able to give practical guidelines on how to guess at the missing information of random censoring. We give conditions to obtain more precise estimators for survival data analyses, providing a user-friendly R program. Two real-life data sets are used to illustrate the application of this methodology.
Language
English
DOI
doi:10.7939/R35S4V
Rights
License granted by Weihong Li (weihong@math.ualberta.ca) on 2009-09-22T20:30:56Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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