Improved estimation under random censorship

Abstract

In this article we propose a variant of the Kaplan-Meier estimator which aims at reducing the bias by adding a bootstrap based correction term to the pertaining cumulative hazard function. For the mean lifetime it is demonstrated in a simulation study that the new estimator also has a smaller variance.

Keywords:

• random censoring
• nonparametric estimation
• bias and variance reduction