Faculty Publications
Testing Relative Risk Under Random Censoring
Document Type
Article
Keywords
Censored data, Counting processes, Gaussian processes, Hazard rate ordering, Kaplan-Meier estimator, Retro-hazard, Reversed hazard rate ordering, Risk ratio
Journal/Book/Conference Title
Statistics and Probability Letters
Volume
62
Issue
1
First Page
1
Last Page
7
Abstract
We consider the problem of testing H0 : F1=F2 on the basis of two independent random samples of randomly right censored survival times. Tests for H0 are developed when the alternatives of primary interest are of the type H :F̄1= F̄2 is increasing (decreasing) or H* : F1=F2 is increasing (decreasing). Asymptotic normality of the test statistic is proved by counting process techniques and the testing procedures are illustrated through application to a well-known data set in the survival analysis literature. © 2003 Elsevier Science B.V. All rights reserved.
Department
Department of Mathematics
Original Publication Date
3-15-2003
DOI of published version
10.1016/S0167-7152(02)00355-3
Recommended Citation
Kirmani, Syed N.U.A. and Dauxois, Jean Yves, "Testing Relative Risk Under Random Censoring" (2003). Faculty Publications. 3273.
https://scholarworks.uni.edu/facpub/3273
