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Continuous Time Multi-state Models for Survival Analysis

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title
Continuous Time Multi-state Models for Survival Analysis
author
Gibson, Erika
abstract
The purpose of this paper is to discuss the survival analysis techniques for continuous time multi-state models. It explores homogeneous Markov models, homogeneous semi-Markov models, non-homogeneous Markov models, and general models. It also discusses the likelihoods, hazards, and probabilities for each model. This paper examines techniques that deal with right and interval censoring data in continuous situations. Another issue dealt with is data that are observable at each transition and those that cannot be.
subject
multi-state models
survival analysis
contributor
Robert Plemmons (committee chair)
James Norris (committee member)
Kenneth Berenhaut (committee member)
date
2008-12-20T14:54:41Z (accessioned)
2010-06-18T18:57:21Z (accessioned)
2008-12-20T14:54:41Z (available)
2010-06-18T18:57:21Z (available)
2008-12-20T14:54:41Z (issued)
degree
Mathematics (discipline)
identifier
http://hdl.handle.net/10339/14688 (uri)
language
en_US (iso)
publisher
Wake Forest University
rights
Release the entire work immediately for access worldwide. (accessRights)
type
Thesis

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