Bayesian Models in Health Technology Assessment (Hardcover)
Idioma: inglés
Editorial: Taylor & Francis Ltd, London, 2026
- Tapa dura
- Nuevo
Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Vendedor de IberLibro desde 22 de junio de 2007
Condición: Nuevo
EUR 123,18
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Hardcover. Bayesian models in Health Technology Assessment aims at presenting a thorough and yet accessible description of the philosophy underlying the Bayesian approach to statistical inference, as specifically applied to the process of health technology assessment (HTA). The book is grounded in practical examples, mostly taken from the HTA context and covering a wide range of real problems, typically encountered by modellers in their day-to-day work. All the chapters present methodological details, as well as carefully curated R and JAGS code, which can be used as a template to unlock the potential of Bayesian modelling, specifically in HTA.Covers introductory chapters on Bayesian modelling and computation, as well as the basics of the statistical modelling for HTA.Discusses a range of modelling topics, including the analysis of individual and aggregated-level data, as well as survival analysis and evidence synthesis.Presents further, more advanced modelling tools (such as for missing data, population adjustment methods and Value of Information), which should be increasingly familiar for practitioners working in HTA and beyond.The text is primarily for modellers and practitioners working in the HTA context, regulators and reviewers of reimbursement dossiers and cost-effectiveness analysis. More generally, it aims at drawing the attention of researchers whose background is firmly statistical onto the interesting and high impactful area of HTA. It complements a wide range of undergraduate and graduate programmes in health technology assessment, health and public health economics, as well as academic researchers in the field of statistical modelling for health technology assessment. Aims at presented a thorough and yet accessible description of the philosophy underlying the Bayesian approach to statistical inference, as specifically applied to the process of health technology assessment (HTA). The book is grounded in practical examples. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
N° de ref. del artículo 9781041297383
- Título
- Bayesian Models in Health Technology Assessment (Hardcover)
- Autor
- Gianluca Baio
- Editorial
- Taylor & Francis Ltd, London
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 1041297386
- ISBN 13
- 9781041297383
Bayesian models in Health Technology Assessment aims at presenting a thorough and yet accessible description of the philosophy underlying the Bayesian approach to statistical inference, as specifically applied to the process of health technology assessment (HTA). The book is grounded in practical examples, mostly taken from the HTA context and covering a wide range of real problems, typically encountered by modellers in their day-to-day work. All the chapters present methodological details, as well as carefully curated R and JAGS code, which can be used as a template to unlock the potential of Bayesian modelling, specifically in HTA.
- Covers introductory chapters on Bayesian modelling and computation, as well as the basics of the statistical modelling for HTA.
- Discusses a range of modelling topics, including the analysis of individual and aggregated-level data, as well as survival analysis and evidence synthesis.
- Presents further, more advanced modelling tools (such as for missing data, population adjustment methods and Value of Information), which should be increasingly familiar for practitioners working in HTA and beyond.
The text is primarily for modellers and practitioners working in the HTA context, regulators and reviewers of reimbursement dossiers and cost-effectiveness analysis. More generally, it aims at drawing the attention of researchers whose background is firmly statistical onto the interesting and high impactful area of HTA. It complements a wide range of undergraduate and graduate programmes in health technology assessment, health and public health economics, as well as academic researchers in the field of statistical modelling for health technology assessment.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Gianluca Baio is Professor of Statistics and Health Economics in the Department of Statistical Science at University College London (UK). Prof. Baio's main interests are in Bayesian statistical modelling for cost effectiveness analysis and decision-making problems in the health systems, hierarchical/multilevel models and causal inference using the decision-theoretic approach. Prof. Baio leads the Statistics for Health Economic Evaluation research group within the Department of Statistical Science and was the co-director of UCL MSc Programme in Health Economics and Decision Science. He is a founding member and former Scientific co-Director of the R-HTA consortium (https://r-hta.org/) and a founding member of the ConVOI (https://www.convoi-group.org/) network. He also served as Secretary (2014-2016) and then Programme Chair (2016-2018) in the Section on Biostatistics and Pharmaceutical Statistics of the International Society for Bayesian Analysis. He collaborates with the UK National Institute for Health and Care Excellence (NICE) as a Scientific Advisor on Health Technology Appraisal projects and has been the 18th Armitage Lecturer in November 2021. His research activity is now (almost) officially dead, since he has become the head of the Department of Statistical Science at UCL, in 2021.
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