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Comparing Distribution Functions via Empirical Likelihood

Author

Listed:
  • McKeague Ian W.

    (Columbia University)

  • Zhao Yichuan

    (Georgia State University)

Abstract

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.

Suggested Citation

  • McKeague Ian W. & Zhao Yichuan, 2006. "Comparing Distribution Functions via Empirical Likelihood," The International Journal of Biostatistics, De Gruyter, vol. 1(1), pages 1-20, January.
    • Handle: RePEc:bpj:ijbist:v:1:y:2006:i:1:n:5
    DOI: 10.2202/1557-4679.1007
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    Cited by:

    1. Subramanian, Sundarraman, 2022. "Simultaneous confidence bands for survival functions from twice censorship," Statistics & Probability Letters, Elsevier, vol. 186(C).

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