Empirical likelihood based on synthetic right censored data

In this paper, we develop a Mean Empirical Likelihood (MeanEL) method for right censored data. This MeanEL approach is based on traditional empirical likelihood methods but uses synthetic data to construct an EL ratio statistics, which shown have χ2 limiting distribution. Different simulation studies show that the confidence intervals tend more accurate coverage probabilities than other existing methods. Theoretical comparisons of different are also provided under general framework.