Bayesian Cost-Effectiveness Analysis with the R package BCEA

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Mathematics, Business & Finance, Economics
Cover of the book Bayesian Cost-Effectiveness Analysis with the R package BCEA by Gianluca Baio, Andrea Berardi, Anna Heath, Springer International Publishing
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Author: Gianluca Baio, Andrea Berardi, Anna Heath ISBN: 9783319557182
Publisher: Springer International Publishing Publication: May 25, 2017
Imprint: Springer Language: English
Author: Gianluca Baio, Andrea Berardi, Anna Heath
ISBN: 9783319557182
Publisher: Springer International Publishing
Publication: May 25, 2017
Imprint: Springer
Language: English

The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relevant theory and introductory concepts are presented using practical examples and two running case studies. The book also describes in detail how to perform health economic evaluations using the R package BCEA (Bayesian Cost-Effectiveness Analysis). BCEA can be used to post-process the results of a Bayesian cost-effectiveness model and perform advanced analyses producing standardised and highly customisable outputs. It presents all the features of the package, including its many functions and their practical application, as well as its user-friendly web interface. The book is a valuable resource for statisticians and practitioners working in the field of health economics wanting to simplify and standardise their workflow, for example in the preparation of dossiers in support of marketing authorisation, or academic and scientific publications.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relevant theory and introductory concepts are presented using practical examples and two running case studies. The book also describes in detail how to perform health economic evaluations using the R package BCEA (Bayesian Cost-Effectiveness Analysis). BCEA can be used to post-process the results of a Bayesian cost-effectiveness model and perform advanced analyses producing standardised and highly customisable outputs. It presents all the features of the package, including its many functions and their practical application, as well as its user-friendly web interface. The book is a valuable resource for statisticians and practitioners working in the field of health economics wanting to simplify and standardise their workflow, for example in the preparation of dossiers in support of marketing authorisation, or academic and scientific publications.

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