Markov influence diagrams: a graphical tool for cost-effectiveness analysis

Díez, Francisco J., Yebra, Mar, Bermejo, Iñigo, Palacios-Alonso, Miguel Angel, Arias Calleja, Manuel, Luque, Manuel y Pérez-Martín, Jorge . (2017) Markov influence diagrams: a graphical tool for cost-effectiveness analysis.

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Título Markov influence diagrams: a graphical tool for cost-effectiveness analysis
Autor(es) Díez, Francisco J.
Yebra, Mar
Bermejo, Iñigo
Palacios-Alonso, Miguel Angel
Arias Calleja, Manuel
Luque, Manuel
Pérez-Martín, Jorge
Materia(s) Ingeniería Informática
Abstract Markov influence diagrams (MIDs) are a new type of probabilistic graphical models that extend influence diagrams in the same way as Markov decision trees extend decision trees. They have been designed to build state-transition models, mainly in medicine, and perform cost-effectiveness analysis. Using a causal graph that may contain several variables per cycle, MIDs can model various features of the patient without multiplying the number of states; in particular, they can represent the history of the patient without using tunnel states. OpenMarkov, an open-source tool, allows the decision analyst to build and evaluate MIDs—including cost-effectiveness analysis and several types of deterministic and probabilistic sensitivity analysis—with a graphical user interface, without writing any code. This way, MIDs can be used to easily build and evaluate complex models whose implementation as spreadsheets or decision trees would be cumbersome or unfeasible in practice. Furthermore, many problems that previously required discrete event simulation can be solved with MIDs, i.e., within the paradigm of state-transition models, in which many health economists feel more comfortable.
Palabras clave Markov models
influence diagrams
cost-effectiveness analysis
outcomes research
Editor(es) Society for Medical Decision Making
Fecha 2017-01-11
Formato application/pdf
Identificador bibliuned:95-Jperez-002
DOI - identifier 10.1177/0272989X16685088
Nombre de la revista Medical Decision Making
Número de Volumen 34
Página inicial 183
Página final 195
Idioma eng
Versión de la publicación acceptedVersion
Tipo de recurso Article
Derechos de acceso y licencia
Tipo de acceso Acceso abierto
Notas adicionales The final version of this paper was published in Medical Decision Making

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Creado: Wed, 17 Jun 2020, 21:57:50 CET