Empirical likelihood analysis of the rank estimator for the censored accelerated failure time model
نویسنده
چکیده
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. Some key words: Gehan statistic; Survival data; Weighted log-rank statistic; Wilks theorem.
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