Testing independence for bivariate current status data

Title:	Testing independence for bivariate current status data
Authors:	Ding, AA Wang, WJ 統計學研究所 Institute of Statistics
Keywords:	Cochran-Mantel-Haenszel test;epidemiology;interval censoring;lifetime data;nonparametric analysis;two-by-two table
Issue Date:	1-Mar-2004
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.
URI:	http://hdl.handle.net/11536/26959
ISSN:	0162-1459
Journal:	JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
Volume:	99
Issue:	465
Begin Page:	145
End Page:	155
Appears in Collections:	Articles

Files in This Item:

If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.