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Survival analysis—time-to-event data and censoring

Love’s the only engine of survival. —Leonard Cohen

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Fig. 1: Probability density functions for two distributions commonly used in survival analysis.
Fig. 2: A Kaplan–Meier analysis of a hypothetical 12-month study with 10 subjects.
Fig. 3: Treating censored times as observed event times results in underestimates of survival and reduced sensitivity in detecting differences between groups.


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Correspondence to Martin Krzywinski.

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Dey, T., Lipsitz, S.R., Cooper, Z. et al. Survival analysis—time-to-event data and censoring. Nat Methods 19, 906–908 (2022).

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