Survival Models are statistical tools used to predict the time until an event of interest occurs, often called “time-to-event” analysis. These models are widely used in various fields such as healthcare, finance, and engineering.
The key feature of survival models is their ability to handle censored data, which occurs when the event hasn’t happened for some subjects by the end of the study period.
