Tests for Location with K Samples Under the Koziol-Green Model of Random Censorship

by Ke Wu .

Abstract: In survival analysis, one is often interested in comparing several groups (or treatments) in terms of their means, medians, or distributions when data are possibly censored. This paper considers tests for location with k samples and randomly right-censored data. Under the Koziol-Green model of random censorship in which the survival distribution of the censoring times is some power of the survival distribution of the lifetimes, one class of k-sample location tests similar to those discussed by James (1987), which allows shapes do differ in the k populations, are developed. The tests are based on general estimating functions and do not require full parametric assumptions for large samples. The asymptotic distribution of the test scores is derived under the null hypothesis.

Key Words: K-sample Location Test, Koziol-Green Model, Random Censorship, Maximum Likelihood Estimator, Product Limit Estimator

Authors:
Ke Wu, kwu@olemiss.edu

Editor: Joseph W. McKean , joe@stat.wmich.edu

READING THE ARTICLE: You can read the article in portable document (.pdf) format (147537 bytes.)

NOTE: The content of this article is the intellectual property of the authors, who retains all rights to future publication.

This page has been accessed 2118 times since July 24, 2006.


Return to the InterStat Home Page.