In risk assessment, ordinal data helps in stratifying individuals based on risk levels. For instance, a risk score for cardiovascular disease may categorize individuals into low, medium, or high-risk groups. These categories can then be used to prioritize interventions and allocate resources efficiently. Additionally, ordinal data can help in identifying trends and patterns in disease occurrence and progression.
