A comparison of methods to detect publication bias in meta‐analysis

By Petra Macaskill, Stephen D. Walter, L. Irwig. Statistics in Medicine, 2001

1,216 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e90a42aa43c85b8e0f8067f8156ea337831fe471

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Citations in the corpus

Quantifying Publication Bias in Meta-Analysis (2017, methodology): “…statistical tests have been proposed for publication bias in the funnel plot, such as Begg’s rank test (Begg and Mazumdar, 1994) and Egger’s regression test (Egger et al., 1997) and its extensions (e.g., Macaskill et al., 2001; Rothstein et al., 2005; Harbord et al., 2006; Peters et al., 2006).”
How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data (2009, methodology): “The popular funnel-plot-based methods to test for publication bias in meta-analysis are inappropriate and potentially misleading when the number of included studies is small and heterogeneity is large [25], [26].”
Comparison of two methods to detect publication bias in meta-analysis. (2006, methodology): “Use of sample size reduces the correlation between the lnOR and its SE.(4,13) It also avoids violating an assumption of regression models that Egger’s regression test does not avoid, as the independent variable, SE, is subject to random error (so that Egger’s regression test is affected by regressio”
Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis. (2001, methodology): “Further, the major factor affecting the probability of publication of a study is its P-value [2,3,21–23], which is a function of standard error or variance rather than of sample size.”
Tourism and GDP (2013, methodology): “The main limitation of this graphical method is that the symmetry is defined subjectively by the researcher, as evidenced in the literature (Thornton and Lee 2000; Macaskill, Walter, and Irving 2001).”
Development and validation of MIX: comprehensive free software for meta-analysis of causal research data (2006, methodology): “The small study effect regression test by Macaskill [36] that was tested via STATA's regress command also turned out to be accurate.”
The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey (2007, methodology): “To reduce the problem, a modified regression test was developed,(10) and several other tests proposed.(6,15) Because they differ in their assumptions and statistical properties, discordant results can be expected with different tests.”