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Qin, G. and Jing, B. (2001) Empirical Likelihood for Cox Regression Model under Random Censorship. Communication in Statistics—Simulation and Computation, 30, 79-90.

has been cited by the following article:

• TITLE: Statistical Diagnosis for General Transformation Model with Right Censored Data Based on Empirical Likelihood

  AUTHORS: Shuling Wang, Xiaohong Deng, Lin Zheng

  KEYWORDS: Random Right Censorship, Empirical Likelihood, Outliers, Influence Analysis

  JOURNAL NAME: Natural Science, Vol.6 No.10, June 18, 2014

  ABSTRACT: In this work, we consider statistical diagnostic for general transformation models with right censored data based on empirical likelihood. The models are a class of flexible semiparametric survival models and include many popular survival models as their special cases. Based on empirical likelihood methodologe, we define some diagnostic statistics. Through some simulation studies, we show that out proposed procedure can work fairly well.