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Bayesian cost-effectiveness analysis with the R package BCEA

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bayesian cost-effectiveness analysis with the R package BCEAby Gianluca Baio ... [et al.].
其他作者:	Baio, Gianluca.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xviii, 178 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Bayesian statistical decision theory.
電子資源:	https://doi.org/10.1007/978-3-032-00877-0
ISBN:	9783032008770$q(electronic bk.)

Bayesian cost-effectiveness analysis with the R package BCEA
Bayesian cost-effectiveness analysis with the R package BCEA[electronic resource] /by Gianluca Baio ... [et al.]. - Second edition. - Cham :Springer Nature Switzerland :2025. - xviii, 178 p. :ill., digital ;24 cm. - Use R!,2197-5744. - Use R!..

- 1. Bayesian Analysis in Health Economics -- 2. Case Studies -- 3. BCEA - A R Package for Bayesian Cost-Effectiveness Analysis -- 4. Probabilistic Sensitivity Analysis using BCEA -- 5. BCEAweb: A User-Friendly Web-App to use BCEA.

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 standardized and highly customizable 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 standardize their workflow, for example in the preparation of dossiers in support of marketing authorization, or academic and scientific publications. This new edition includes a more streamlined description of examples and programming, focusing on the newest release of the BCEA package and recent work on Value of Information.

ISBN: 9783032008770$q(electronic bk.)

Standard No.: 10.1007/978-3-032-00877-0doiSubjects--Topical Terms:

182005
Bayesian statistical decision theory.

LC Class. No.: QA279.5

Dewey Class. No.: 519.542

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