Continuous Time Multi-state Models for Survival Analysis
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- 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)
- title
- Continuous Time Multi-state Models for Survival Analysis
- type
- Thesis