| Abstract: | Abstract In some applications, the available data suffer from several sampling problems related to loss of information. This typically happens in Survival Analysis, where models for truncation, censorship, and biasing have been proposed and widely investigated. In this work, we analyze by simulations the (finite sample) bias and variance of the nonparametric MLE under length-biasing and right-censorship, recently introduced by de Uńa-Álvarez de Uńa-Álvarez, J. (2002a). Product-limit estimation for length-biased censored data. Test 11:109–125]. Comparison with the time-honoured Kaplan–Meier estimate for censored data is included. |
