Statistical Analysis of Cost-effectiveness Data
Cost-effectiveness analysis is the simultaneous Statistical
comparison of two or more groups with respect to costs and
effectiveness. A prime example of this is the comparison of
health-care interventions, where there is a growing expectation
from policymakers that evidence supporting the cost-effectiveness
of new interventions be provided along with customary data on
efficacy and safety. Statistical Analysis of Cost-effectiveness
Data provides an overview of the statistical methods used in such
analysis and gives an illustrated summary of the key developments
in statistical issues related to cost-effectiveness comparisons,
over the last decade. Provides an up-to-date overview of
statistical methods used in the analysis of cost-effectiveness
data. Discusses all the major issues in the field, including:
Parameter estimation for both censored and uncensored data; Making
inference using cost-effectiveness ratios; Incremental net benefit
plots and cost-effectiveness ratios; Incremental net benefit plots
and cost-effectiveness acceptability curves; Covariate adjustment
and sub-group analyses; Multinational trials; Sample size
determinations using both classical and Bayesian approaches.
Illustrated throughout by worked examples from the authors' own
experiences.
Statistical Analysis of Cost-effectiveness Data is ideal for
biostatisticians and health economists both in academia and
industry. There is also much of use for graduate students of
biostatistics, public health and economics, as well as individuals
working in government regulator agencies.
STATISTICS IN PRACTICE
A series of practical books outlining the use of
statisticaltechniques in a wide range of applications areas: HUMAN
AND BIOLOGICAL SCIENCES EARTH AND ENVIRONMENTAL SCIENCES INDUSTRY,
COMMERCE AND FINANCE
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