Bayesian Precision Medicine

Author:   Peter F. Thall (M.D. Anderson Cancer Center, Houston, Texas, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032754468


Pages:   318
Publication Date:   07 May 2024
Format:   Hardback
Availability:   Not yet available   Availability explained
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Bayesian Precision Medicine


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Full Product Details

Author:   Peter F. Thall (M.D. Anderson Cancer Center, Houston, Texas, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.770kg
ISBN:  

9781032754468


ISBN 10:   103275446
Pages:   318
Publication Date:   07 May 2024
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Reviews

“With this latest book, Dr. Thall adds to his reputation as one of the most innovative thinkers in the field of adaptive clinical trial design. This book offers a wide variety of cutting-edge methods in Bayesian precision medicine, all explicated in the context of utility-driven designs that can simultaneously evaluate and trade off treatment safety and efficacy. The book’s unification of standard tools for causal inference with Bayesian methods is very welcome, as is its generous collection of case studies, most drawn from the author’s own extensive statistical consulting portfolio. It is a must-read for students and practitioners in biopharmaceutical statistics who want to see the current frontier of individualized complex innovative trial design.”~ Bradley P. Carlin, Cencora-PharmaLex, USA


“With this latest book, Dr. Thall adds to his reputation as one of the most innovative thinkers in the field of adaptive clinical trial design. This book offers a wide variety of cutting-edge methods in Bayesian precision medicine, all explicated in the context of utility-driven designs that can simultaneously evaluate and trade off treatment safety and efficacy. The book’s unification of standard tools for causal inference with Bayesian methods is very welcome, as is its generous collection of case studies, most drawn from the author’s own extensive statistical consulting portfolio. It is a must-read for students and practitioners in biopharmaceutical statistics who want to see the current frontier of individualized complex innovative trial design.” Bradley P. Carlin, Cencora-PharmaLex, USA


Author Information

Peter F. Thall is a global leader in the development and application of Bayesian methods in medical research, with over 300 publications in professional journals. His research interests include Bayesian statistics, clinical trial design, precision medicine, and dynamic treatment regimes.

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