Abstract
This paper develops an empirical likelihood (EL) approach to testing for stochastic ordering between two univariate distributions under right censorship. The proposed test is based on a maximally selected local EL statistic. The asymptotic null distribution is expressed in terms of a Brownian bridge. The new procedure is shown via a simulation study to have superior power to the log-rank and weighted Kaplan–Meier tests under crossing hazard alternatives. The approach is illustrated using data from a randomized clinical trial involving the treatment of severe alcoholic hepatitis.
Citation
Hsin-wen Chang. Ian W. McKeague. "Empirical likelihood based tests for stochastic ordering under right censorship." Electron. J. Statist. 10 (2) 2511 - 2536, 2016. https://doi.org/10.1214/16-EJS1180
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