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This textbook discusses medical decision making under uncertainty, combining informative test theory with the expected utility hypothesis. Readers will learn how the parameters of Bayes' theorem can be combined with a value function of health states to arrive at informed test and treatment...
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This textbook discusses medical decision making under uncertainty, combining informative test theory with the expected utility hypothesis. Readers will learn how the parameters of Bayes' theorem can be combined with a value function of health states to arrive at informed test and treatment decisions.
schovat popis
- Nakladatel: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
- Kód:
- Rok vydání: 2017
- Jazyk: Angličtina
- Vazba: Gebunden
- Počet stran: 253
- Šířka balení: 24.2 cm
- Výška balení: 16.2 cm
- Hloubka balení: 2.2 cm
- Váha balení: 572 g
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