Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
417194 | Computational Statistics & Data Analysis | 2008 | 8 Pages |
Abstract
In practical data analysis, nonresponse phenomenon frequently occurs. In this paper, we propose an empirical likelihood based confidence interval for a common mean by combining the imputed data, assuming that data are missing completely at random. Simulation studies show that such confidence intervals perform well, even when the missing proportion is high. Our method is applied to an analysis of a real data set from an AIDS clinic trial study.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Hua Liang, Haiyan Su, Guohua Zou,