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Books > Business & Economics > Economics
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Decision Modelling for Health Economic Evaluation (Paperback, New)
Loot Price: R1,393
Discovery Miles 13 930
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Decision Modelling for Health Economic Evaluation (Paperback, New)
Series: Handbooks in Health Economic Evaluation
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In financially constrained health systems across the world,
increasing emphasis is being placed on the ability to demonstrate
that health care interventions are not only effective, but also
cost-effective. This book deals with decision modelling techniques
that can be used to estimate the value for money of various
interventions including medical devices, surgical procedures,
diagnostic technologies, and pharmaceuticals. Particular emphasis
is placed on the importance of the appropriate representation of
uncertainty in the evaluative process and the implication this
uncertainty has for decision making and the need for future
research. This highly practical guide takes the reader through the
key principles and approaches of modelling techniques. It begins
with the basics of constructing different forms of the model, the
population of the model with input parameter estimates, analysis of
the results, and progression to the holistic view of models as a
valuable tool for informing future research exercises. Case studies
and exercises are supported with online templates and solutions.
This book will help analysts understand the contribution of
decision-analytic modelling to the evaluation of health care
programmes. ABOUT THE SERIES: Economic evaluation of health
interventions is a growing specialist field, and this series of
practical handbooks will tackle, in-depth, topics superficially
addressed in more general health economics books. Each volume will
include illustrative material, case histories and worked examples
to encourage the reader to apply the methods discussed, with
supporting material provided online. This series is aimed at health
economists in academia, the pharmaceutical industry and the health
sector, those on advanced health economics courses, and health
researchers in associated fields.
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