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Bayesian Cost-Effectiveness Analysis with the R package BCEA (Use R!) de Gianluca Baio,Andrea Berardi,Anna Heath
DescripciĆ³n - ReseƱa del editor 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. Contraportada 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. BiografĆa del autor Gianluca Baio graduated in Statistics and Economics from the University of Florence (Italy). After a period at the Program on the Pharmaceutical Industry at the MIT Sloan School of Management, Cambridge (USA), he completed a PhD programme in Applied Statistics, again at the University of Florence. He then worked as a research fellow and lecturer at the Department of Statistical Sciences at University College London (UK). Gianluca's main interests are in Bayesian statistical modelling for cost effectiveness analysis and decision-making problems in health systems; hierarchical/multilevel models; and causal inference using the decision-theoretic approach. Gianluca leads the Statistics for Health Economic Evaluation research group at the Department of Statistical Science. Andrea Berardi graduated in Biostatistics and Experimental Statistics from the University of Milano-Bicocca (Italy) and is a senior consultant at the Health Economics Modelling Unit at PAREXEL. He has experience both as a consultant for world-leading pharmaceutical companies and asĀ health economics leadĀ of the critical appraisal of NICE submissions as part of the BMJ Technology Assessment Group. Andreaās experience of conducting and reviewing health economics analyses spans numerous and diverse disease areas. His main interests are the analysis of uncertainty and survival in health economics modelling. Anna Heath is a PhD student at the Department of Statistical Science at University College London. She is currently working on calculation methods for value of information measures in health economic evaluations. Her work on the expected value of partial perfect information (EVPPI) is integrated into BCEA.
Detalles del Libro
- Name: Bayesian Cost-Effectiveness Analysis with the R package BCEA (Use R!)
- Autor: Gianluca Baio,Andrea Berardi,Anna Heath
- Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
- TamaƱo del archivo: 13 MB
- Tipos de archivo: PDF Document
- Descargada: 412 times
- Idioma: EspaƱol
- Archivos de estado: AVAILABLE
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Bayesian costeffectiveness analysis with the r package bayesian costeffectiveness analysis with the r package bcea use r baio gianluca berardi andrea heath anna libros en idiomas extranjeros
Bayesian costeffectiveness analysis with the r package the book also describes in detail how to perform health economic evaluations using the r package bcea bayesian costeffectiveness analysis bcea can be used to postprocess the results of a bayesian costeffectiveness model and perform advanced analyses producing standardised and highly customisable outputs
Bcea a r package to run bayesian costeffectiveness analysis bcea a rpackage to run bayesian costeļ¬ectiveness analysis gianluca baio department of statistical science university college london uk department of statistics university of milano bicocca italy gianlucastatsuclacuk european conference on health economics zurich university centre 20 july 2012 gianluca baio ucl bcea bayesian
Bayesian models for costeffectiveness analysis in the 1 introduction modelling for costeffectiveness data has received much attention in both the health economics and the statistical literature in recent years 1 2 increasingly often under a bayesian statistical approach 3 6from the statistical point of view this is an interesting problem because of the generally complex structure of relationships linking a suitable measure of clinical
Bayesian costeffectiveness analysis with the r package get this from a library bayesian costeffectiveness analysis with the r package bcea gianluca baio andrea berardi anna heath the book provides a description of the process of health economic evaluation and modelling for costeffectiveness analysis particularly from the perspective of a bayesian statistical approach some
Bceaa r package for bayesian costeffectiveness analysis abstract costeffectiveness analysis is usually performed using specialised software such as treeage or spreadsheet calculators eg microsoft excelpart of the narrative that accompanies this choice as the de facto standard is that these tools are transparent easy to use and to share with clients and stakeholders
Bces0 an r package for bayesian costeffectiveness models bces0 is a r library specifically designed to run a full bayesian costeffectiveness analysis of individual data in the presence of structural zero costs for some subjectsthe framework assumes that data are available for n 0 and n 1 subjects that are respectively given some treatment t 0 and t 1typically costs and clinical benefits should be modelled assuming some form of correlation
Bcea an r package to perform bayesian costeffectiveness bcea an r package to perform bayesian costeffectiveness analysis bcea is a r library specifically designed to postprocess the result of a bayesian health economic evaluation typically this consists in the estimation of a set of relevant parameters that can be combined to produce an estimation of suitable measures of cost c and clinical benefits e associated with an intervention
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Bayesian costeffectiveness analysis with the r package bayesian costeffectiveness analysis with the r package bcea use r 1st ed 2017 edition by gianluca baio author andrea berardi contributor anna heath contributor amp 0 more isbn13 9783319557168