Bayesian Cost-Effectiveness Analysis with the R package BCEA [electronic resource] / by Gianluca Baio, Andrea Berardi, Anna Heath.
Material type: TextSeries: Use R!Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Description: XVI, 168 p. 55 illus., 26 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783319557182
- Statistics
- Health economics
- Mathematical statistics
- Medical records -- Data processing
- Statistics for Life Sciences, Medicine, Health Sciences
- Health Economics
- Statistics and Computing/Statistics Programs
- Health Informatics
- Statistics for Business/Economics/Mathematical Finance/Insurance
- Practice and Hospital Management
- 519.5 23
- QA276-280
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
E-BOOKS | ISI Library, Kolkata | Not for loan | EB1941 |
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.
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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