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Bayesian cost-effectiveness analysis with the R package BCEA

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bayesian cost-effectiveness analysis with the R package BCEA/ by Gianluca Baio ... [et al.].
other author:	Baio, Gianluca.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xviii, 178 p. :ill., digital ;24 cm.
[NT 15003449]:	- 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.
Contained By:	Springer Nature eBook
Subject:	Bayesian statistical decision theory. -
Online resource:	https://doi.org/10.1007/978-3-032-00877-0
ISBN:	9783032008770

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

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

551404
Bayesian statistical decision theory.

LC Class. No.: QA279.5

Dewey Class. No.: 519.542

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245 0 0 $a Bayesian cost-effectiveness analysis with the R package BCEA $h [electronic resource] / $c by Gianluca Baio ... [et al.].
250 $a Second edition.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xviii, 178 p. : $b ill., digital ; $c 24 cm.
490 1 $a Use R!, $x 2197-5744
505 0 $a - 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.
520 $a 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.
650 0 $a Bayesian statistical decision theory. $3 551404
650 0 $a R (Computer program language) $3 784593
650 1 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Statistics in Business, Management, Economics, Finance, Insurance. $3 3538572
650 2 4 $a Practice and Hospital Management. $3 2180290
700 1 $a Baio, Gianluca. $3 3242439
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Use R!. $3 1306062
856 4 0 $u https://doi.org/10.1007/978-3-032-00877-0
950 $a Mathematics and Statistics (SpringerNature-11649)