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Comparing Distribution Functions via Empirical Likelihood
The International Journal of Biostatistics (2008)
  • Ian W. McKeague, Columbia University
  • Yichuan Zhao, Georgia State University

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.

  • Kaplan--Meier estimator,
  • Nelson--Aalen estimator,
  • plug-in,
  • right censoring
Publication Date
September 3, 2008
Citation Information
Ian W. McKeague and Yichuan Zhao. "Comparing Distribution Functions via Empirical Likelihood" The International Journal of Biostatistics Vol. 1 Iss. 1 (2008)
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