Comparing Distribution Functions Via Empirical Likelihood
This paper develops empirical likelihood based simultaneous confidence bands for differences and ratios of two distribution functions from independent samples of right-censored survival data. The proposed confidence bands provide a flexible way of comparing treatments in biomedical settings, and bring empirical likelihood methods to bear on important target functions for which only Wald-type confidence bands have been available in the literature. The approach is illustrated with a real data example.
Ian W. McKeague and Yichuan Zhao. "Comparing Distribution Functions Via Empirical Likelihood" The International Journal of Biostatistics 1.1 (2006).
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