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A patient is censored when the study ends or they leave before the event (death or progression) happens, so we only know they survived at least that long.
Censoring, in Wikipedia's definition, is when the value of an observation is only partly known; in survival analysis a right-censored patient has not had the event by the last follow-up. Survival methods (Kaplan-Meier, Cox regression, the concordance index) use censored patients up to their last known time. The number of events, not the number of patients, sets the statistical power of a survival model, which is why a cohort of two thousand with a hundred deaths is a small study.
Shares Univariate Cox scores and time-dependent metrics, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares C-index (concordance index), Harrell's and Uno's, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares C-index (concordance index), Harrell's and Uno's, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares C-index (concordance index), Harrell's and Uno's, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares C-index (concordance index), Harrell's and Uno's, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.