Operating Characteristics of a Rank Correlation Test for Publication Bias

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ID: 289127
1994
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Abstract
An adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations. The test statistic is a direct statistical analogue of the popular "funnel-graph." The number of component studies in the meta-analysis, the nature of the selection mechanism, the range of variances of the effect size estimates, and the true underlying effect size are all observed to be influential in determining the power of the test. The test is fairly powerful for large meta-analyses with 75 component studies, but has only moderate power for meta-analyses with 25 component studies. However, in many of the configurations in which there is low power, there is also relatively little bias in the summary effect size estimate. Nonetheless, the test must be interpreted with caution in small meta-analyses. In particular, bias cannot be ruled out if the test is not significant. The proposed technique has potential utility as an exploratory tool for meta-analysts, as a formal procedure to complement the funnel-graph.
Reference Key
openalex_W1964435302 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Colin B. Begg, Madhuchhanda Mazumdar
Journal biometrics
Year 1994
DOI
10.2307/2533446
URL
https://doi.org/10.2307/2533446
Keywords Keywords not found

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