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Lookup NU author(s): Hong Lu, Peng Yin, Dr Jian Shi
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Confidence interval (CI) is very useful for trend estimation in meta-analysis. It provides a type of interval estimate of the regression slope as well as an indicator of the reliability of the estimate. Thus a precise calculation of confidence interval at an expected level is important. It is always difficult to explicitly quantify the CIs when there is publication bias in meta-analysis. Various CIs have been proposed, including the most widely used DerSimonian-Laird CI and the recently proposed Henmi-Copas CI. The latter provides a robust solution when there are non-ignorable missing data due to publication bias. In this paper we extended the idea into meta-analysis for trend estimation. We applied the method in different scenarios and showed that this type of CI is more robust than the others.
Author(s): Lu H, Yin P, Yue RX, Shi JQ
Publication type: Article
Publication status: Published
Journal: Journal of Applied Statistics
Year: 2015
Volume: 42
Issue: 12
Pages: 2715-2733
Print publication date: 01/12/2015
Online publication date: 05/08/2015
Acceptance date: 04/05/2015
ISSN (print): 0266-4763
ISSN (electronic): 1360-0532
Publisher: Taylor & Francis
URL: http://dx.doi.org/10.1080/02664763.2015.1048672
DOI: 10.1080/02664763.2015.1048672
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