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The process of censoring yields data w/ only partial information. The most common example of censoring is *right censoring* in survival analysis, where the time until the event occurred is only known to be longer than some duration because the event had not occurred when the study ended.
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Difference between independent and non-informative censoring
My definitions:
1) In independent censoring, the event and censoring rates are assumed to be the same conditional on the level of the covariates.
2) In non-informative censoring we assume that the … Adviser's definition:
1) She has not heard of/used the phrase "independent censoring".
2) Noninformative censoring is when time to event and time to censoring are independent conditional on the level …
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High censoring rate in survival analysis
However, I have a gut feeling that this estimator is biased due to the high censoring rate in my data (nearly 50% censored at later times). What are some ways to address this in an analysis? …