Empirical likelihood based tests for stochastic ordering under right censorship
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 2511-2536 |
| Journal / Publication | Electronic Journal of Statistics |
| Volume | 10 |
| Issue number | 2 |
| Publication status | Published - 2016 |
| Externally published | Yes |
Link(s)
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.
Research Area(s)
- Crossing survival/hazard functions, Order restricted inference, Survival analysis, Two-sample problem
Bibliographic Note
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Citation Format(s)
Empirical likelihood based tests for stochastic ordering under right censorship. / Chang, Hsin-Wen; McKeague, Ian W.
In: Electronic Journal of Statistics, Vol. 10, No. 2, 2016, p. 2511-2536.
In: Electronic Journal of Statistics, Vol. 10, No. 2, 2016, p. 2511-2536.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
