Cox and Snell Residuals

Cox and Snell residuals are tools used in survival analysis to assess how well a statistical model fits the data. They measure the difference between observed and expected events (like failures or deaths) for each individual, scaled in a way that accounts for the model's predictions. Essentially, they help identify data points that don't align well with the model's assumptions, highlighting potential outliers or areas where the model could improve. These residuals provide a diagnostic check, ensuring that the model accurately captures the underlying patterns in survival times.