Algorithmical and Computational Procedures for a Markov Model in Survival Analysis View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2002

AUTHORS

Juan Eloy Ruiz-Castro , Rafael Pérez-Ocón , Delia Montoro-Cazorla

ABSTRACT

A methodology for studying the homogeneous time-continuous Markov processes that allow the usual quantities of interest in survival studies to be expressed in a well-structured form is considered. This is performed by introducing the phase-type distributions, which enable algorithmic expressions for the performance measures used in survival analysis. A Markov model with several absorbent states is studied, incorporating the phase-type distributions. Following this procedure, we show that Markov models can be applied in a direct and tractable way. In this general model covariates are introduced and applied to analysing the behaviour of breast cancer. The computational implementation can be developed from the formulae proposed in a more convenient way than previous ones and this has been performed using the Matlab program. More... »

PAGES

147-152

Book

TITLE

Compstat

ISBN

978-3-7908-1517-7
978-3-642-57489-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-57489-4_17

DOI

http://dx.doi.org/10.1007/978-3-642-57489-4_17

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022716267


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