Operating characteristics of a rank correlation test for publication bias Journal Article


Authors: Begg, C. B.; Mazumdar, M.
Article Title: Operating characteristics of a rank correlation test for publication bias
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.
Keywords: case-control studies; cancer risk; comparative study; neoplasms; lung neoplasms; analytic method; odds ratio; lung cancer; publication; statistical analysis; publishing; models, statistical; bias (epidemiology); mathematical computing; oral contraception; meta analysis; water supply; meta-analysis; mathematics; contraceptives, oral; passive smoking; publication bias; chlorine; chlamydia trachomatis; chlamydia infections; tobacco smoke pollution; human; female; article; support, u.s. gov't, p.h.s.; rank correlation
Journal Title: Biometrics
Volume: 50
Issue: 4
ISSN: 0006-341X
Publisher: Wiley Blackwell  
Date Published: 1994-12-01
Start Page: 1088
End Page: 1101
Language: English
DOI: 10.2307/2533446
PROVIDER: scopus
PUBMED: 7786990
DOI/URL:
Notes: Export Date: 14 January 2019 -- Article -- Source: Scopus
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  1. Colin B Begg
    306 Begg
  2. Madhu Mazumdar
    127 Mazumdar