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Decision Making In Health And Medicine Integrating Evidence And Values Paperback Myriam Hunink Paul Glasziou Joseph Pliskin Milton Weinstein Eve Wittenberg Michael Drummond John Wong

  • SKU: BELL-10010922
Decision Making In Health And Medicine Integrating Evidence And Values Paperback Myriam Hunink Paul Glasziou Joseph Pliskin Milton Weinstein Eve Wittenberg Michael Drummond John Wong
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Decision Making In Health And Medicine Integrating Evidence And Values Paperback Myriam Hunink Paul Glasziou Joseph Pliskin Milton Weinstein Eve Wittenberg Michael Drummond John Wong instant download after payment.

Publisher: Cambridge University Press
File Extension: PDF
File size: 6.99 MB
Pages: 446
Author: Myriam Hunink; Paul Glasziou; Joseph Pliskin; Milton Weinstein; Eve Wittenberg; Michael Drummond; John Wong
ISBN: 9781107690479, 1107690471
Language: English
Year: 2014
Edition: Paperback

Product desciption

Decision Making In Health And Medicine Integrating Evidence And Values Paperback Myriam Hunink Paul Glasziou Joseph Pliskin Milton Weinstein Eve Wittenberg Michael Drummond John Wong by Myriam Hunink; Paul Glasziou; Joseph Pliskin; Milton Weinstein; Eve Wittenberg; Michael Drummond; John Wong 9781107690479, 1107690471 instant download after payment.

Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical therapies have side effects, surgical interventions may lead to complications, and diagnostic tests can produce misleading results. Furthermore, patient values and service costs must be considered. Decisions in clinical and health policy require careful weighing of risks and benefits and are commonly a trade-off of competing objectives: maximizing quality of life vs maximizing life expectancy vs minimizing the resources required. This text takes a proactive, systematic and rational approach to medical decision making. It covers decision trees, Bayesian revision, receiver operating characteristic curves, and cost-effectiveness analysis; as well as advanced topics such as Markov models, microsimulation, probabilistic sensitivity analysis and value of information analysis. It provides an essential resource for trainees and researchers involved in medical decision modelling, evidence-based medicine, clinical epidemiology, comparative effectiveness, public health, health economics, and health technology assessment.

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