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A nonparametric approach to detecting the difference of survival medians.
- Source :
- Communications in Statistics: Simulation & Computation; 2017, Vol. 46 Issue 1, p395-403, 9p
- Publication Year :
- 2017
-
Abstract
- Some nonparametric methods have been proposed to compare survival medians. Most of them are based on the asymptotic null distribution to estimate the p-value. However, for small to moderate sample sizes, those tests may have inflated Type I error rate, which makes their application limited. In this article, we proposed a new nonparametric test that uses bootstrap to estimate the sample mean and variance of themedian. Through comprehensive simulation, we show that the proposed approach can control Type I error rates well. A real data application is used to illustrate the use of the new test. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03610918
- Volume :
- 46
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Communications in Statistics: Simulation & Computation
- Publication Type :
- Academic Journal
- Accession number :
- 119023611
- Full Text :
- https://doi.org/10.1080/03610918.2014.964804