Faculty Publications
Testing The Koziol-Green Model Against Monotone Conditional Odds For Censoring
Document Type
Article
Keywords
Asymptotic normality, Competing risks, Consistency, Empirical processes, Random right censoring, Subsurvival functions
Journal/Book/Conference Title
Statistics and Probability Letters
Volume
66
Issue
3
First Page
327
Last Page
334
Abstract
A notion of conditional odds for censoring is introduced to study the pattern of censoring in randomly right censored data. This notion is used to formulate meaningful alternatives in order to test the Koziol-Green model of proportional hazards between survival and censoring times. A test criterion is proposed and the test statistic is shown to be asymptotically normally distributed. The proposed procedure is illustrated through two data sets well known in the survival analysis literature. © 2003 Elsevier B.V. All rights reserved.
Department
Department of Mathematics
Original Publication Date
2-15-2004
DOI of published version
10.1016/j.spl.2003.10.019
Recommended Citation
Kirmani, Syed N.U.A. and Dauxois, Jean Yves, "Testing The Koziol-Green Model Against Monotone Conditional Odds For Censoring" (2004). Faculty Publications. 3129.
https://scholarworks.uni.edu/facpub/3129