Continuous Time Multi-state Models for Survival Analysis

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.

Grantor dc:publisher

Wake Forest University

Year dc:date.issued

2008

Author dc:creator

• Gibson, Erika

• multi-state models

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/10339/14688

OAI identifier oai:identifier

oai:wakespace.lib.wfu.edu:10339/14688