Paper Info
Title
A nonparametric approach to detecting the difference of survival medians
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 the median. 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.
Year
DOI
Venue
2017
10.1080/03610918.2014.964804
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Keywords
DocType
Volume
Anti-conservativeness,Chi-square distribution,Cochran test,Type I error rate
Journal
46
Issue
ISSN
Citations 
1
0361-0918
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Zhongxue Chen124415.77