Zobrazit v EDS

Modeling in R: a practical application using a cost-effectiveness analysis.

Uloženo v:
Podrobná bibliografie
Název: Modeling in R: a practical application using a cost-effectiveness analysis.
Autoři: Kouame, Jean Martial, Siani, Carole, Kouakou, Christian, Gnanou, Soualio, LaRue, Simon, Guertin, Jason Robert
Zdroj: Health Economics Review; 11/3/2025, Vol. 15 Issue 1, p1-11, 11p
Témata: COST effectiveness, MARKOV processes, HEALTH care industry, DECISION making, COMPUTER simulation, REPRODUCIBLE research, COST benefit analysis, PROGRAMMING languages
Abstrakt: Economic Evaluation (EE) is increasingly used to inform the decision-making of various health care systems about which health care interventions to fund with the available resources. Until now, majority of cost-effectiveness analyses have been performed with Microsoft Excel (ME). Today, the trend is to use software that can improve the decision-making model and that can resolve complex problems, as well as ensure reproducibility and transparency. The intention of this tutorial paper is not to show the "best" way of developing decision models in R, but to provide two different codes described in a step-by-step guide on how to implement a Markov model, with an explanation to help beginners in modeling (e.g., health economists new to R) and MS Excel users and to switch to R without having any great knowledge of programming with R. This paper is offered to facilitate the wider use of R to implement decision-making models. [ABSTRACT FROM AUTHOR]
Copyright of Health Economics Review is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Biomedical Index
Popis
Abstrakt:Economic Evaluation (EE) is increasingly used to inform the decision-making of various health care systems about which health care interventions to fund with the available resources. Until now, majority of cost-effectiveness analyses have been performed with Microsoft Excel (ME). Today, the trend is to use software that can improve the decision-making model and that can resolve complex problems, as well as ensure reproducibility and transparency. The intention of this tutorial paper is not to show the "best" way of developing decision models in R, but to provide two different codes described in a step-by-step guide on how to implement a Markov model, with an explanation to help beginners in modeling (e.g., health economists new to R) and MS Excel users and to switch to R without having any great knowledge of programming with R. This paper is offered to facilitate the wider use of R to implement decision-making models. [ABSTRACT FROM AUTHOR]
ISSN:21911991
DOI:10.1186/s13561-025-00686-9