Statistics

Survival Analysis is a collection of statistical procedures for data analysis for which the outcome variable of interest is the time until an event occurs (time-to-event statistical analysis). What we know about Survival Analysis is largely based upon a paper published in 1958 by Edward Kaplan and Paul Meier "Nonparametric Estimation from Incomplete Observations" [1].

Censoring occurs when at the end of the data collection, some of the patients have not had the event of interest.

Censor and Event in Survival Analysis

References:

  1. E. L. Kaplan & Paul Meier (1958) Nonparametric Estimation from Incomplete Observations, Journal of the American Statistical Association, 53:282, 457-481, doi: 10.1080/01621459.1958.10501452