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- W2144576703 abstract "Fixed effects meta analysis can be thought of as least squares analysis of the radialplot, the plot of standardized treatment effect against precision (reciprocal of the standarddeviation) for the studies in a systematic review. For example, the Egger test for publicationbias 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, whichmay be correlated, and so the standard theory of least squares does not apply. For theEgger test, the actual significance levels are inflated, sometimes substantially so. We deriveapproximations 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 theEgger test without any appreciable loss of power in detecting non-random study selection.A clinical trials example is used as an illustration." @default.
- W2144576703 created "2016-06-24" @default.
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- W2144576703 date "2007-01-01" @default.
- W2144576703 modified "2023-09-27" @default.
- W2144576703 title "Asymptotic approximations for the radial plot in meta analysis, and a bias correction to the Egger test" @default.
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