Paramètres
- 340pages
- 12 heures de lecture
En savoir plus sur le livre
Focusing on medical decision-making under uncertainty, this textbook integrates test information theory with expected utility theory. It explores how Bayes' theorem parameters and health state value functions inform test and treatment choices amidst diagnostic risks. By distinguishing between different risk preferences—risk-neutral, risk-averse, and prudent—the authors illustrate their impact on decisions. The analysis includes individual and multiple tests, diagnostic models, and evaluates outcomes using quality-adjusted life years (QALYs). Additionally, it discusses non-expected utility models, highlighting their limitations for normative guidance in medical choices.
Achat du livre
Medical Decision Making, Stefan Felder, Thomas Mayrhofer
- Langue
- Année de publication
- 2022
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- (rigide)
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- Sous-titre
- A Health Economic Primer
- Langue
- Anglais
- Auteurs
- Stefan Felder, Thomas Mayrhofer
- Éditeur
- Springer Berlin Heidelberg
- Publié
- 2022
- Format
- rigide
- Pages
- 340
- ISBN13
- 9783662646533
- Séries
- Mots clés
- Nonfiction, Commerce, Affaires & Gestion, Santé & Médecine, Science et Mathématiques, Mathématiques
- Évaluation
- 3 sur 5
- Description
- Focusing on medical decision-making under uncertainty, this textbook integrates test information theory with expected utility theory. It explores how Bayes' theorem parameters and health state value functions inform test and treatment choices amidst diagnostic risks. By distinguishing between different risk preferences—risk-neutral, risk-averse, and prudent—the authors illustrate their impact on decisions. The analysis includes individual and multiple tests, diagnostic models, and evaluates outcomes using quality-adjusted life years (QALYs). Additionally, it discusses non-expected utility models, highlighting their limitations for normative guidance in medical choices.