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