The Central Limit Theorem Under Random Censorship

Let Fₙ be the Kaplan-Meier estimator of a distribution function F computed from randomly censored data. We show that under optimal integrability assumptions on a function, the Kaplan-Meier integral dFₙ, when properly standardized, is asymptotically normal.