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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
M. G. Myriam Hunink is Professor of Clinical Epidemiology and Radiology, Departments of Epidemiology and Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands, and Adjunct Professor of Health Decision Sciences, Department of Health Policy and Management, Harvard School of Public Health, Harvard University, Boston, MA, USA.
Milton C. Weinstein is the Henry J. Kaiser Professor of Health Policy and Management and Biostatistics at the Harvard School of Public Health, and Professor of Medicine at the Harvard Medical School, Harvard University, Boston, MA, USA.
Eve Wittenberg is a Senior Research Scientist at the Center for Health Decision Science, Harvard School of Public Health, Boston, MA, USA.
Michael F. Drummond is Professor of Health Economics and former Director of the Centre for Health Economics at the University of York, York, UK.
Joseph S. Pliskin is the Sidney Liswood Professor of Health Care Management at Ben-Gurion University of the Negev, Beer-Sheva, Israel, and Adjunct Professor in the Department of Health Policy and Management, Harvard School of Public Health, Boston, MA, USA.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. A guide for everyone involved in medical decision making to plot a clear course through complex and conflicting benefits and risks. Num Pages: 445 pages, 2 b/w illus. 107 colour illus. 44 tables. BIC Classification: MBD. Category: (P) Professional & Vocational. Dimension: 248 x 175 x 21. Weight in Grams: 882. . 2014. 2nd Edition. Paperback. . . . . N° de réf. du vendeur V9781107690479
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Paperback. Etat : New. 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. N° de réf. du vendeur LU-9781107690479
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Demonstrates how to integrate evidence-based quantitative data and patient-centered outcomes to optimize decision making in clinical medicine and public health. A user-friendly text for trainees and researchers involved in medical decision modelling, eviden. N° de réf. du vendeur 595327691
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Paperback. Etat : new. Paperback. 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. Demonstrates how to integrate evidence-based quantitative data and patient-centered outcomes to optimize decision making in clinical medicine and public health. A user-friendly text for trainees and researchers involved in medical decision modelling, evidence-based medicine, clinical epidemiology, comparative effectiveness, public health, health economics, and health technology assessment. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781107690479
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