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An Independence Test for Doubly Censored Failure Time Data
Author(s) -
Sun Jianguo,
Lim HeeJeong,
Zhao Xingqiu
Publication year - 2004
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.200310060
Subject(s) - independence (probability theory) , event (particle physics) , econometrics , statistics , wald test , test (biology) , event data , survival analysis , statistical hypothesis testing , mathematics , computer science , paleontology , physics , quantum mechanics , biology , covariate
The analysis of doubly censored failure time data has recently attracted a great deal of attention and for this, a number of methods have been proposed (De Gruttola and Lagakos, 1989; Kim et al., 1993; Pan, 2001; Sun, 2004). To simplify the analysis, most of these methods make an independence assumption: the distribution of the survival time of interest is independent of the occurrence of the initial event that defines the survival time. Although it is well‐known that the assumption may not be true, there does not seem to be any existing research discussing the checking of the assumption. In this article, a Wald test is developed for testing this assumption and the method is applied to an AIDS cohort study. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)