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Sinopsis
This textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility theory. The authors show how the parameters of Bayes' theorem can be combined with a value function of health states in order to arrive at informed test and treatment decisions in the face of diagnostic and therapeutic risks. Distinguishing between risk-neutral, risk-averse, and prudent decision-makers, they demonstrate the effects of risk preferences on medical decisions. Furthermore, they analyze individual and multiple tests as well as diagnostic models in which the decision-maker chooses the test outcome. The consequences of test and treatment decisions for the patient are encompassed by quality-adjusted life years (QALYs) and the standard economic model, which applies the willingness to pay for health approach. Lastly, non-expected utility models of choice under risk and uncertainty are presented. Although these models can explain some of the test and treatment decisions observed, they are less suitable for normative analyses aimed at providing guidance on medical decision-making.
This third edition provides extensively revised versions of all chapters and reflects recent innovations in medical decision-making such as decision curve analysis. New chapters focus on the health economics of and revealed preferences in medical decisions. The book is intended for students of (health) economics and medicine as well as for medical decision-makers and physicians dealing with uncertainty in their test and treatment decisions.
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Acerca del autor
Stefan Felder has been a Full Professor of Health Economics at the Department of Business and Economics and Director of the Basel Center for Health Economics, University of Basel, Switzerland, since 2011. He studied Economics and Sociology and received his Ph.D. and his venia docendi from the University of Bern, Switzerland. He worked and taught at the University of Western Ontario, Canada (1990/92), the University of Zurich, Switzerland (1992/1996), and the University of Fribourg, Switzerland (1993/95), before joining the Faculties of Medicine and Economics at the University of Magdeburg, Germany, in 1997. From 2008 to 2011, he was a Professor of Health Economics at the University of Duisburg-Essen, Germany, and from 2011 to 2015, Director of the German Health Economic Research Center CINCH in Essen. From 2013 to 2020, he was the Executive Secretary of the European Health Economic Association, President of the German Association of Health Economics (2017), and Presidentof the Swiss Society of Health Economics (2016-2020).
Thomas Mayrhofer is a Professor of Economics at Stralsund University of Applied Sciences, Germany, and a Lecturer at Massachusetts General Hospital and Harvard Medical School of Harvard University, USA. He studied Economics at the University of Magdeburg, Germany, and received his Ph.D. in Economics from the University of Duisburg-Essen, Germany. Before becoming a Professor in Stralsund in 2015, he worked at the German Health Economic Research Center CINCH in Essen and at Massachusetts General Hospital and Harvard Medical School of Harvard University, USA.
De la contraportada
This textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility theory. The authors show how the parameters of Bayes’ theorem can be combined with a value function of health states in order to arrive at informed test and treatment decisions in the face of diagnostic and therapeutic risks. Distinguishing between risk-neutral, risk-averse, and prudent decision-makers, they demonstrate the effects of risk preferences on medical decisions. Furthermore, they analyze individual and multiple tests as well as diagnostic models in which the decision-maker chooses the test outcome. The consequences of test and treatment decisions for the patient are encompassed by quality-adjusted life years (QALYs) and the standard economic model, which applies the willingness to pay for health approach. Lastly, non-expected utility models of choice under risk and uncertainty are presented. Although these models can explain some of the test and treatment decisions observed, they are less suitable for normative analyses aimed at providing guidance on medical decision-making.
This third edition provides extensively revised versions of all chapters and reflects recent innovations in medical decision-making such as decision curve analysis. New chapters focus on the health economics of and revealed preferences in medical decisions. The book is intended for students of (health) economics and medicine as well as for medical decision-makers and physicians dealing with uncertainty in their test and treatment decisions.
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- EditorialSpringer
- Año de publicación2023
- ISBN 10 3662646560
- ISBN 13 9783662646564
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de edición3
- Número de páginas340
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility theory. The authors show how the parameters of Bayes' theorem can be combined with a value function of health states in order to arrive at informed test and treatment decisions in the face of diagnostic and therapeutic risks. Distinguishing between risk-neutral, risk-averse, and prudent decision-makers, they demonstrate the effects of risk preferences on medical decisions. Furthermore, they analyze individual and multiple tests as well as diagnostic models in which the decision-maker chooses the test outcome. The consequences of test and treatment decisions for the patient are encompassed by quality-adjusted life years (QALYs) and the standard economic model, which applies the willingness to pay for health approach. Lastly, non-expected utility models of choice under risk and uncertainty are presented. Although these models can explainsome of the test and treatment decisions observed, they are less suitable for normative analyses aimed at providing guidance on medical decision-making.This third edition provides extensively revised versions of all chapters and reflects recent innovations in medical decision-making such as decision curve analysis. New chapters focus on the health economics of and revealed preferences in medical decisions. The book is intended for students of (health) economics and medicine as well as for medical decision-makers and physicians dealing with uncertainty in their test and treatment decisions. 340 pp. Englisch. Nº de ref. del artículo: 9783662646564
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Medical Decision Making : A Health Economic Primer
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ISBN 10: 3662646560
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility theory. The authors show how the parameters of Bayes' theorem can be combined with a value function of health states in order to arrive at informed test and treatment decisions in the face of diagnostic and therapeutic risks. Distinguishing between risk-neutral, risk-averse, and prudent decision-makers, they demonstrate the effects of risk preferences on medical decisions. Furthermore, they analyze individual and multiple tests as well as diagnostic models in which the decision-maker chooses the test outcome. The consequences of test and treatment decisions for the patient are encompassed by quality-adjusted life years (QALYs) and the standard economic model, which applies the willingness to pay for health approach. Lastly, non-expected utility models of choice under risk and uncertainty are presented. Although these models can explainsome of the test and treatment decisions observed, they are less suitable for normative analyses aimed at providing guidance on medical decision-making.This third edition provides extensively revised versions of all chapters and reflects recent innovations in medical decision-making such as decision curve analysis. New chapters focus on the health economics of and revealed preferences in medical decisions. The book is intended for students of (health) economics and medicine as well as for medical decision-makers and physicians dealing with uncertainty in their test and treatment decisions. Nº de ref. del artículo: 9783662646564
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility theory. The authors show how the parameters of Bayes theorem can be combined with a value function of h. Nº de ref. del artículo: 834047574
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