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Bayesian Cost-Effectiveness Analysis with the R package BCEA

Bayesian Cost-Effectiveness Analysis with the R package BCEA
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Field name Details
Dewey Class 519.5
Title Bayesian Cost-Effectiveness Analysis with the R package BCEA ([EBook]) / by Gianluca Baio, Andrea Berardi, Anna Heath.
Author Baio, Gianluca
Added Personal Name Berardi, Andrea
Heath, Anna
Other name(s) SpringerLink (Online service)
Publication Cham : Springer International Publishing , 2017.
Physical Details XVI, 168 pages. 55 illus., 26 illus. in color. : online resource.
Series Use R 2197-5736
ISBN 9783319557182
Summary Note 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.:
Contents note Bayesian analysis in health economics -- Case studies -- BCEA ? a R package for Bayesian cost-effectiveness analysis -- Probabilistic sensitivity analysis using BCEA -- BCEAweb: a user-friendly web-app to use BCEA.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/978-3-319-55718-2
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