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• W2765502079 abstract "The bivariate survival function plays an important role in multivariate survival analysis. Using the idea of influence functions, we develop empirical likelihood confidence intervals for the bivariate survival function in the presence of univariate censoring. It is shown that the empirical log-likelihood ratio has an asymptotic standard chi-squared distribution with one degree of freedom. A comprehensive simulation study shows that the proposed method outperforms both the traditional normal approximation method and the adjusted empirical likelihood method in most cases. The Diabetic Retinopathy Data are analyzed for illustration of the proposed procedure." @default.
• W2765502079 created "2017-11-10" @default.
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• W2765502079 date "2018-03-01" @default.
• W2765502079 modified "2023-10-18" @default.
• W2765502079 title "Empirical likelihood for the bivariate survival function under univariate censoring" @default.
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• W2765502079 doi "https://doi.org/10.1016/j.jspi.2017.10.002" @default.
• W2765502079 hasPublicationYear "2018" @default.
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