Article ID Journal Published Year Pages File Type
417194 Computational Statistics & Data Analysis 2008 8 Pages PDF
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
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