Confidence intervals for a common mean with missing data with applications in an AIDS study

Hua Liang, Haiyan Su and Guohua Zou

Computational Statistics & Data Analysis, 2008, vol. 53, issue 2, 546-553

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.

Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:53:y:2008:i:2:p:546-553

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