Rank tests for matched pair experiments with censored data

Dorota M. Dabrowska

Journal of Multivariate Analysis, 1989, vol. 28, issue 1, 88-114

Abstract: We consider the problem of testing bivariate symmetry in matched pair experiments where (X1, X2) are time measurements such as failure or survival times. The observations are subject to random right censoring so that what is observed is Yj = min(Xj, Zj) and [delta]j = I(Xj = Yj), j = 1, 2, where (Z1, Z2) is a pair of censoring times independent of (X1, X2). Tests that generalize the conditional Wilcoxon and the log-rank tests are considered as well as general linear rank statistics. It is shown that suitably standardized versions of these statistics are asymptotically normal under fixed and converging alternatives and they are consistent against the alternative of ordered hazards.

Keywords: censored; data; tests; for; symmetry; rank; tests (search for similar items in EconPapers)
Date: 1989
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0047-259X(89)90099-7
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:jmvana:v:28:y:1989:i:1:p:88-114

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

Journal of Multivariate Analysis is currently edited by de Leeuw, J.

More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().