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Record Nr. |
UNINA9910254283503321 |
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Autore |
Baio Gianluca |
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Titolo |
Bayesian cost-effectiveness analysis with the R package BCEA / / by Gianluca Baio, Andrea Berardi, Anna Heath |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XVI, 168 p. 55 illus., 26 illus. in color.) |
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Collana |
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Disciplina |
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Soggetti |
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Statistics |
Health economics |
Health informatics |
Practice of medicine |
R (Computer program language) |
Statistics for Life Sciences, Medicine, Health Sciences |
Health Economics |
Statistics and Computing/Statistics Programs |
Health Informatics |
Statistics for Business, Management, Economics, Finance, Insurance |
Practice and Hospital Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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- |
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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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