- Häftad (Paperback)
- Antal sidor
- OUP Oxford
- Sculpher, Mark / Claxton, Karl
- 235 x 155 x 10 mm
- Antal komponenter
- 340 g
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Decision Modelling for Health Economic Evaluation
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Fler böcker av Andrew Briggs
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International Journal of Epidemiology, An advanced, practical guide to the use of probabilistic decision modelling techniques, written by authors at the forfront of developments in this field... Given that NICE recommend the use of probabilistic methods, this book is undoubtedly a welcome handbook for health technology analysts requiring technical details on decision-analytic modelling.
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<br>Andrew Briggs was appointed to the Lindsay Chair in Health Policy and Economic Evaluation in June 2005. Previously he held the position of Reader in Health Economics at the University of Oxford's Health Economic Research Centre (HERC). Karl Claxton holds an adjunct appointment at Harvard as an Assistant Professor of Health and Decision Sciences. He is part of a committee that appraises new and existing health care technologies and issues guidance for the NHS on the use of these technologies. He has also contributed to the Task Group which developed guidance for the appraisal of health technologies for NICE. He is co-editor of the Journal of Health Economics. Mark Sculpher is Director of the Programme on Economic Evaluation and Health Technology Assessment at the University of York. He has previously worked at the Health Economics Research Group at Brunel University, and in the Department of Clinical Epidemiology and Biostatistics at McMaster University in Canada. He is a member of the NICE Technology Appraisal Committee and he chaired NICE's Task Group on methods guidance for economic evaluation. He is also a member of the Commissioning Board for the NHS Health Technology Assessment programme. He is on the editorial boards of Medical Decision Making, Health Expectations and the Journal of Applied Health Economics and Policy.<br>
1. Introduction; 2. Key aspects of decision modelling for economic evaluation; 3. Further developments in decision analytic models for economic evaluation; 4. Making decision models probabilistic; 5. Analysing and presenting simulation output from probabilistic models; 6. Decision-making, uncertainty and the value of information; 7. Efficient research design; 8. Future challenges for cost-effectiveness modelling of health care interventions