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Nonparametric Two-Sample Tests of Longitudinal Data with Termination Events

Authors
 Yang-Jin Kim ; Chung Mo Nam ; Jinheum Kim 
Citation
 Communications in Statistics-Theory and Methods, Vol.42(6) : 1056~1069, 2013 
Journal Title
 Communications in Statistics-Theory and Methods 
ISSN
 0361-0926 
Issue Date
2013
Abstract
In longitudinal data, observations of response variables occur at fixed or random time points, and can be stopped by a termination event. When comparing longitudinal data for two groups, such irregular observation behavior must be considered to yield suitable results. In this article, we propose the use of nonparametric tests based on the difference between weighted cumulative mean functions for comparing two mean functions with an adjustment for difference in the timing of termination events. We also derive the asymptotic null distributions of the test statistics and examine their small sample properties through simulations. We apply our method to data from a study of liver cirrhosis.
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/88291
DOI
10.1080/03610926.2011.592255
Appears in Collections:
1. 연구논문 > 1. College of Medicine > Dept. of Preventive Medicine
Yonsei Authors
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Link
 http://www.tandfonline.com/doi/abs/10.1080/.U3l2oqizIyo
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