Randomizing the parameters of a Markov chain to model the stroke disease: A technical generalization of established computational methodologies towards improving real applications-Reference-Cited by-同舟云学术

Randomizing the parameters of a Markov chain to model the stroke disease: A technical generalization of established computational methodologies towards improving real applications

Published:2017-11 Issue: Volume:324 Page:225-240
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Cortés J.-C.^ORCID,Navarro-Quiles A.,Romero J.-V.^ORCID,Roselló M.-D.^ORCID

Funder

Ministerio de Economía y Competitividad

Programa de Ayudas de Investigación y Desarrollo (PAID)

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference23 articles.

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3. The analysis of hospital infection data using hidden Markov models;Cooper;Biostatistics,2004

4. Estimating time-to-event from longitudinal ordinal data using random-effects Markov models: application to multiple sclerosis progression;Mandel;Biostatistics,2008

5. Calculation of prevalence with Markov models: Budget impact analysis of thrombolysis for stroke;Mar;Med. Decis. Making,2008

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