Testing independence for bivariate current status data

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DC Field	Value	Language
dc.contributor.author	Ding, AA	en_US
dc.contributor.author	Wang, WJ	en_US
dc.date.accessioned	2014-12-08T15:39:29Z	-
dc.date.available	2014-12-08T15:39:29Z	-
dc.date.issued	2004-03-01	en_US
dc.identifier.issn	0162-1459	en_US
dc.identifier.uri	http://hdl.handle.net/11536/26959	-
dc.description.abstract	This article develops a nonparametric procedure for testing marginal independence based on bivariate current status data. Asymptotic properties of the proposed tests are derived, and their finite-sample performance is studied via simulations. The method is applied to analyze data from a community-based study of cardiovascular epidemiology in Taiwan.	en_US
dc.language.iso	en_US	en_US
dc.subject	Cochran-Mantel-Haenszel test	en_US
dc.subject	epidemiology	en_US
dc.subject	interval censoring	en_US
dc.subject	lifetime data	en_US
dc.subject	nonparametric analysis	en_US
dc.subject	two-by-two table	en_US
dc.title	Testing independence for bivariate current status data	en_US
dc.type	Article	en_US
dc.identifier.journal	JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION	en_US
dc.citation.volume	99	en_US
dc.citation.issue	465	en_US
dc.citation.spage	145	en_US
dc.citation.epage	155	en_US
dc.contributor.department	統計學研究所	zh_TW
dc.contributor.department	Institute of Statistics	en_US
dc.identifier.wosnumber	WOS:000220638200015	-
dc.citation.woscount	14	-
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