Censoring is crucial in survival analysis because it affects the accuracy of survival estimates. Proper handling of censored data ensures that the statistical analysis remains valid and reliable. Ignoring censoring can lead to biased results and incorrect conclusions about treatment efficacy or patient prognosis.
