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Estudio de enfermedades progresivas usando un modelo de Markov de estados múltiples
dc.contributor.author | Salazar Uribe, Juan Carlos | spa |
dc.contributor.author | Iral Palomino, René | spa |
dc.date.accessioned | 2020-10-27T14:21:39Z | |
dc.date.available | 2020-10-27T14:21:39Z | |
dc.date.issued | 2005-12-01 | |
dc.identifier.issn | 2382-4603 | |
dc.identifier.issn | 0123-7047 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12749/10417 | |
dc.description.abstract | Los factores de riesgo y su grado de asociación con una enfermedad progresiva, tal como la enfermedad de Alzheimer o el cáncer de hígado, pueden identificarse usando modelos epidemiológicos; algunos ejemplos de estos modelos incluyen los de regresión logística, Poisson, log-lineales, regresión lineal y mixtos. En las ciencias médicas, el uso de modelos que tengan en cuenta no solo los distintos estados de salud que un participante experimenta a través del tiempo sino también las características propias de cada uno de ellos (por ejemplo, edad, género, características genéticas, etc.) parece razonable y justificado. En este artículo se discute una metodología que permite estimar el efecto de covariables asociadas con una enfermedad cuando la progresión o regresión de dicha enfermedad puede ser idealizada por medio de un modelo de estados múltiples (multi-state model) con varios estados que a su vez permite tener en cuenta la asociación de las mediciones tomadas en un mismo participante a través del tiempo. El método expuesto, que se basa en la propiedad de Markov se ilustra con datos simulados acerca de la enfermedad de Alzheimer. Finalmente, se discuten los méritos y las limitaciones de este enfoque.[Salazar JC, Iral R. Estudio de enfermedades progresivas usando un modelo de Markov de estados múltiples. | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | spa | spa |
dc.publisher | Universidad Autónoma de Bucaramanga UNAB | |
dc.relation | https://revistas.unab.edu.co/index.php/medunab/article/view/182/166 | |
dc.relation.uri | https://revistas.unab.edu.co/index.php/medunab/article/view/182 | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | |
dc.source | MedUNAB; Vol. 8 Núm. 3 (2005): Sincope, Influenza, Orientación sexual; 202-207 | |
dc.subject | Ciencias biomédicas | |
dc.subject | Ciencias de la vida | |
dc.subject | Innovaciones en salud | |
dc.subject | Investigaciones | |
dc.title | Estudio de enfermedades progresivas usando un modelo de Markov de estados múltiples | spa |
dc.title.translated | Study of progressive diseases using a multi-state Markov model | eng |
dc.publisher.faculty | Facultad Ciencias de la Salud | spa |
dc.publisher.program | Pregrado Medicina | spa |
dc.type.driver | info:eu-repo/semantics/article | |
dc.type.local | Artículo | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | |
dc.subject.keywords | Health Sciences | eng |
dc.subject.keywords | Medicine | eng |
dc.subject.keywords | Medical Sciences | eng |
dc.subject.keywords | Biomedical Sciences | eng |
dc.subject.keywords | Life Sciences | eng |
dc.subject.keywords | Innovations in health | eng |
dc.subject.keywords | Research | eng |
dc.subject.keywords | Alzheimer ́s disease | eng |
dc.subject.keywords | Genetic markers | eng |
dc.subject.keywords | Multiple stage models | eng |
dc.subject.keywords | Longuitudinal data | eng |
dc.subject.keywords | Markov ́s dependence | eng |
dc.identifier.instname | instname:Universidad Autónoma de Bucaramanga UNAB | spa |
dc.type.hasversion | Info:eu-repo/semantics/publishedVersion | |
dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
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dc.contributor.cvlac | Salazar Uribe, Juan Carlos [0000063509] | spa |
dc.contributor.googlescholar | Salazar Uribe, Juan Carlos [7epKVSUAAAAJ&hl=es&oi=ao] | spa |
dc.contributor.orcid | Salazar Uribe, Juan Carlos [0000-0003-2286-3627] | spa |
dc.subject.lemb | Medicina | spa |
dc.subject.lemb | Ciencias de la salud | spa |
dc.subject.lemb | Ciencias médicas | spa |
dc.identifier.repourl | repourl:https://repository.unab.edu.co | |
dc.description.abstractenglish | Risk factors and their degree of association with a progressive disease, such as Alzheimer's disease or liver cancer, can be identified using epidemiological models; Some examples of these models include logistic regression, Poisson, log-linear, linear regression, and mixed models. In medical sciences, the use of models that take into account not only the different health states that a participant experiences over time but also the characteristics of each of them (for example, age, gender, genetic characteristics, etc.) .) seems reasonable and justified. This article discusses a methodology that allows estimating the effect of covariates associated with a disease when the progression or regression of said disease can be idealized through a multi-state model with several states that in turn It allows taking into account the association of measurements taken in the same participant over time. The exposed method, which is based on the Markov property, is illustrated with simulated data about Alzheimer's disease. Finally, the merits and limitations of this approach are discussed. [Salazar JC, Iral R. Study of progressive diseases using a multistate Markov model. | eng |
dc.subject.proposal | Enfermedad de Alzheimer | spa |
dc.subject.proposal | Marcadores genéticos | spa |
dc.subject.proposal | Modelos de estados múltiples | spa |
dc.subject.proposal | Datos longitudinales | spa |
dc.subject.proposal | Dependencia de Markov | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/ART | |
dc.rights.creativecommons | Atribución-NoComercial-SinDerivadas 2.5 Colombia | * |
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