Testing the Koziol-Green model against monotone conditional odds for censoring

Syed N. U. A. Kirmani and Jean-Yves Dauxois

Statistics & Probability Letters, 2004, vol. 66, issue 3, 327-334

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.

Keywords: Asymptotic; normality; Competing; risks; Consistency; Empirical; processes; Random; right; censoring; Subsurvival; functions (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(03)00359-6
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:66:y:2004:i:3:p:327-334

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().