Asymptotic approximations for the radial plot in meta analysis, and a bias correction to the Egger test
Copas, John B. and Lozada-Can, Claudia (2007) Asymptotic approximations for the radial plot in meta analysis, and a bias correction to the Egger test. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. (Working papers).
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Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...
Fixed effects meta analysis can be thought of as least squares analysis of the radial plot, the plot of standardized treatment effect against precision (reciprocal of the standard deviation) for the studies in a systematic review. For example, the Egger test for publication bias is equivalent to testing the significance of the intercept in linear regression. In practice, both x- and y-coordinates of the points in a radial plot are subject to sampling error, which may be correlated, and so the standard theory of least squares does not apply. For the Egger test, the actual significance levels are inflated, sometimes substantially so. We derive approximations to the sampling properties of the radial plot, assuming that the within- study sample sizes are large. This leads to an asymptotic bias correction for the Egger test. A simulation study suggests that the bias correction controls the significance level of the Egger test without any appreciable loss of power in detecting non-random study selection. A clinical trials example is used as an illustration.
|Item Type:||Working or Discussion Paper (Working Paper)|
|Subjects:||Q Science > QA Mathematics|
|Divisions:||Faculty of Science > Statistics|
|Library of Congress Subject Headings (LCSH):||Meta-analysis, Least squares, Clinical trials -- Mathematical models|
|Series Name:||Working papers|
|Publisher:||University of Warwick. Centre for Research in Statistical Methodology|
|Place of Publication:||Coventry|
|Number of Pages:||20|
|Status:||Not Peer Reviewed|
|Access rights to Published version:||Open Access|
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