Empirical likelihood analysis of the rank estimator for the censored accelerated failure time model

Mai Zhou

Biometrika, 2005, vol. 92, issue 2, 492-498

Abstract: We use the empirical likelihood method to derive a test and thus a confidence interval based on the rank estimators of the regression coefficient in the accelerated failure time model. Standard chi-squared distributions are used to calculate the p-value and to construct the confidence interval. Simulations and examples show that the chi-squared approximation to the distribution of the log empirical likelihood ratio performs well, and has some advantages over the existing methods. Copyright 2005, Oxford University Press.

Date: 2005
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