A Phase-Type Distribution for the Sum of Two Concatenated Markov Processes Application to the Analysis Survival in Bladder Cancer

Autor: Belén García-Mora, Cristina Santamaría, Gregorio Rubio

Publikováno v: Mathematics, Vol 8, Iss 12, p 2099 (2020)

Stochastic processes are useful and important for modeling the evolution of processes that take different states over time, a situation frequently found in fields such as medical research and engineering. In a previous paper and within this framework

Externí odkaz: https://doaj.org/article/106950e0749545bab8b63a2301c63241

Modelling Biological Systems: A New Algorithm for the Inference of Boolean Networks

Autor: Belén García-Mora, Mario Rubio-Chavarría, Cristina Santamaría, G. Rubio

Publikováno v: Mathematics
Volume 9
Issue 4
Mathematics, Vol 9, Iss 373, p 373 (2021)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] Biological systems are commonly constituted by a high number of interacting agents. This great dimensionality hinders biological modelling due to the high computational cost. Therefore, new modelling methods are needed to reduce computation time

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f6eaff232b3b1f4bf53bad72c4d3ea1
https://hdl.handle.net/10251/180504

Efficacy and satisfaction with transcutaneous electrostimulation of the posterior tibial nerve in overactive bladder syndrome

Autor: Belén García Mora, Cristina Santamaría Navarro, Juan Francisco Vidal Moreno, Luz María Moratalla Charcos, Jorge Planelles Gómez

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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Objective:Overactive bladder is a disease with a high prevalence. The management is difficult, because different demographic, social or economic aspects converge. Our objective was to evaluate the efficacy and satisfaction in patients with overactive

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::920ad28c2f36531f70f57d607ccec7dd
https://doi.org/10.1177/2051415818776186

Bayesian prediction for flowgraph models with covariates. An application to bladder carcinoma

Autor: Cristina Santamaría, Belén García-Mora, J. L. Pontones, G. Rubio

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe

Statistical Flowgraph Models are an efficient tool to model multi-state stochastic processes. They support both frequentist and Bayesian approaches. Inclusion of covariates is also available. In this paper we propose an easy way to perform a Bayesian

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0103e0ed7c6aaa410cf156cf66d2fc82
https://doi.org/10.1016/j.cam.2015.03.045

The influence of geographical concentration and structural characteristics on the survival chance of textile firms

Autor: Belén García-Mora, Francisco Puig, Cristina Santamaría

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] Purpose The purpose of this paper is to evaluate the contribution of location (geographical concentration) and firm structure (age and subsector) to the risk of business failure. Design/methodology/approach The Markov s regression analysis was m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::024847583eba09b28764cc4cd3633666
https://doi.org/10.1108/13612021311305100