Survival analysis is a branch of statistics focused on analyzing the expected duration of time until one event occurs. It has been largely used in the healthcare sector, with the main use case being to understand the probability of one’s survival in medical trials.
This approach can also be applied to other domains and use cases with the objective of looking into the likelihood of a certain event at a given time. In this article, we will be looking into Survival Analysis concepts, techniques, and their application in Python.