What is censoring?

In the field of statistics, Censoring refers to a situation where the full extent or precise value of a measurement or observation is not entirely known. In Survival Analysis, this happens when we have information about sample observations and do not know when the given event happened, and is considered a key issue in survival analysis, distinguishing time-to-event analysis from the other statistical analyses mentioned in the previous chapters. There are several reasons why censoring happens; for example, a person withdraws from a study or exits prior to a follow-up, or the event in question has already happened before the study starts. The censored event is non-informative, that is, censoring causes study failure due to some reason other than failure time. In other words, failure caused by censoring is not related to the probability of an event occurring. Informative censoring happens when an observation is lost to follow-up because of research reasons. Three types...