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Books > Science & Mathematics > Physics > Applied physics & special topics > Geophysics
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Absolute Risk - Methods and Applications in Clinical Management and Public Health (Paperback)
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Absolute Risk - Methods and Applications in Clinical Management and Public Health (Paperback)
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Expected to ship within 12 - 17 working days
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Absolute Risk: Methods and Applications in Clinical Management and
Public Health provides theory and examples to demonstrate the
importance of absolute risk in counseling patients, devising public
health strategies, and clinical management. The book provides
sufficient technical detail to allow statisticians,
epidemiologists, and clinicians to build, test, and apply models of
absolute risk. Features: Provides theoretical basis for modeling
absolute risk, including competing risks and cause-specific and
cumulative incidence regression Discusses various sampling designs
for estimating absolute risk and criteria to evaluate models
Provides details on statistical inference for the various sampling
designs Discusses criteria for evaluating risk models and comparing
risk models, including both general criteria and problem-specific
expected losses in well-defined clinical and public health
applications Describes many applications encompassing both disease
prevention and prognosis, and ranging from counseling individual
patients, to clinical decision making, to assessing the impact of
risk-based public health strategies Discusses model updating,
family-based designs, dynamic projections, and other topics Ruth M.
Pfeiffer is a mathematical statistician and Fellow of the American
Statistical Association, with interests in risk modeling, dimension
reduction, and applications in epidemiology. She developed absolute
risk models for breast cancer, colon cancer, melanoma, and second
primary thyroid cancer following a childhood cancer diagnosis.
Mitchell H. Gail developed the widely used "Gail model" for
projecting the absolute risk of invasive breast cancer. He is a
medical statistician with interests in statistical methods and
applications in epidemiology and molecular medicine. He is a member
of the National Academy of Medicine and former President of the
American Statistical Association. Both are Senior Investigators in
the Division of Cancer Epidemiology and Genetics, National Cancer
Institute, National Institutes of Health.
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