Basic principles
- Long latency.
- Immediate versus distant causes.
- Common exposure to risk factors.
- Low incidence of disease.
- Small risk.
- Multiple causes and multiple effects.
- Risk factors may or may not be causal.
Combining multiple factors.
- Discrimination.
- Calibration.
- External validation.
- Comparing models.
- Assessing models in clinical practice.
- Risk prediction and pretest probability for diagnostic testing.
- Using risk factors to choose treatment.
- Risk stratification for screening programs.
- Removing risk factors to prevent disease.