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Comparisons of Test Statistics Arising from Marginal Analyses of Multivariate Survival Data

Content Provider	Springer Nature Link
Author	Li, Qian H. Lagakos, Stephen W.
Copyright Year	2004
Abstract	We investigate the properties of several statistical tests for comparing treatment groups with respect to multivariate survival data, based on the marginal analysis approach introduced by Wei, Lin and Weissfeld [‘‘Regression Analysis of multivariate incomplete failure time data by modelling marginal distributians,’’ JASA vol. 84 pp. 1065–1073]. We consider two types of directional tests, based on a constrained maximization and on linear combinations of the unconstrained maximizer of the working likelihood function, and the omnibus test arising from the same working likelihood. The directional tests are members of a larger class of tests, from which an asymptotically optimal test can be found. We compare the asymptotic powers of the tests under general contiguous alternatives for a variety of settings, and also consider the choice of the number of survival times to include in the multivariate outcome. We illustrate the results with simulations and with the results from a clinical trial examining recurring opportunistic infections in persons with HIV.
Starting Page	389
Ending Page	405
Page Count	17
File Format	PDF
ISSN	13807870
Journal	Lifetime Data Analysis
Volume Number	10
Issue Number	4
e-ISSN	15729249
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2004-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	directional tests marginal model multivariate survival data omnibus test recurring events Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Life Sciences, Medicine, Health Sciences Quality Control, Reliability, Safety and Risk Operation Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Medicine

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Comparisons of Test Statistics Arising from Marginal Analyses of Multivariate Survival Data

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