This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 405
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #308552
Title: Semiparametric Hybrid Empirical Likelihood Inference for Two-Sample Comparison with Censored Data
Author(s): Haiyan Su*+ and Hua Liang and Mai Zhou
Companies: Montclair State University and University of Rochester and University of Kentucky
Address: 1 E Normal Ave, , Montclair, NJ, 07043,
Keywords: empirical likelihood ; semiparametric models ; hazard formulation ; ROC curves
Abstract:

Two-sample comparison problems are often encountered in practical pro jects and have widely been studied in literature. Zhou and Liang (2005) proposed an empirical likelihood-based semi-parametric inference for the comparison of treatment e?ects in a two-sample problem with censored data. Their approach is actually a pseudo-empirical likelihood and the method may not be fully e?cient. In this study, we develop a new empirical likelihood-based inference under more general framework by using the hazard formulation of the censored data for two sample semi-parametric hybrid models. We demonstrate that our empirical likelihood statistic converges to a standard chi-squared distribution under the null hypothesis. We illustrate the use of the proposed test by testing the ROC curve with censored data, among others. Numerical performance of the proposed method is also examined


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