Testing Independence for Bivariate Current Status Data

Abstract

This paper 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. 

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Cite this paper

@inproceedings{Ding1968TestingIF, title={Testing Independence for Bivariate Current Status Data}, author={Adam A Ding and WeiJing Wang}, year={1968} }