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A0469
Title: A unified semi-empirical likelihood ratio confidence interval for treatment effects based on length-biased data Authors:  Tao Li - Shanghai University of Finance and Economics (China) [presenting]
Abstract: In two sample studies, the treatment effects that we are interested in may have different types, such as mean difference, the difference of probabilities, and etc. We apply semi-parametric empirical likelihood principle to length biased data and derived a unified empirical likelihood ratio confidence interval for various types of treatment effects. The empirical likelihood ratio is shown to be asymptotically distributed as chi-squared. Both simulation study and real data analysis are conducted and illustrate that the confidence interval derived from empirical likelihood ratio is better than its counterpart from the estimating equation.