Censoring is crucial because it allows researchers to handle incomplete data appropriately. Without proper consideration of censoring, analyses could yield biased results, leading to incorrect conclusions about the efficacy of treatments or the prognosis of patients. By accounting for censoring, researchers can better estimate survival functions and hazard ratios, which are vital for understanding the outcomes of cancer treatments.
