How much data are required to validate a risk model?
Risk models are becoming increasingly important in health care, and are typically used to provide information to both clinicians and patients, and to facilitate fairer, risk-adjusted comparisons between healthcare providers. Despite the importance of these models, relatively little research has been conducted into how many patients are required to both develop a new risk model and validate an existing model. Risk models developed or validated using small datasets may be inaccurate which may have implications for patient care. The focus of my research is to ascertain the amount of data required to develop and validate a reliable risk model.