Now here is where the book and my professor's explanations differ a bit:īook: A truncated observation is one that has been left out due to some restriction of the study. So the main difference between censoring and truncation is whether or not we have access to all potential observations or not, is it not? Hence censoring is (1) a local property in the sense that we talk about a observation being censored, and (2) censored observations are in the study.įrom my current understanding, truncation on the other hand occurs when the study is conducted in such a way that some potential observations are left out. Moeschberger.Īlthough I like the book in general, I don't really understand the way truncation is explained in the book and my professor's explanation hasn't helped too much either - and what is worse they seem to conflict a little bit in my head.įrom my current understanding censoring in survival analysis occurs when either the event we are trying to model the time to has already been triggered for an observation in the study ( left-censoring) or if for the duration of the study we don't see the event occur for an observation ( right-censoring). I am taking a course in survival analysis where we follow the book "Survival Analysis: Techniques for Censored and Truncated Data" by John P.
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