Publication bias in meta-analysis: its causes and consequences.

By A. Thornton, P. Lee. Journal of Clinical Epidemiology, 2000

1,152 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bb22ae8be84fa9d71813ff66b3da9367bb11217d

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Citations in the corpus

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).”
Methods of Instructional Improvement in Algebra (2010, background): “…conference proceedings, and reports (which are usually not approved on the basis of their results) and focused attention on conducting a thorough search of other unpublished literature not easily accessible through electronic databases as recommended by Cooper (1998) and Thornton and Lee (2000).”
Sample Sizes and Effect Sizes are Negatively Correlated in Meta-Analyses: Evidence and Implications of a Publication Bias Against NonSignificant Findings (2009, background): “Given the existence of publication bias has been recognized at least since the mid 1950s (Thornton & Lee, 2000; Dickersin, 2005, however traces concerns back to the late 1700s), it is not surprising that several methods of testing for publication bias have been developed.”
A meta-analysis of the relation between mating system, growth form and genotypic diversity in clonal plant species (2008, neutral): “When authors do not submit studies or editors reject submissions with small treatment effects or non-significant results, the literature becomes biased (Thornton and Lee 2000).”
A Critical Review of the First 10 Years of Candidate Gene-by-Environment Interaction Research in Psychiatry (2011, neutral): “Publication bias, the tendency to publish significant results more readily than nonsignificant ones, is widespread in biomedical research (18).”
How Effective Are Family Literacy Programs? (2011, methodology): “Another way of detecting publication bias is by generating a funnel plot (Sterne, Egger, & Davey Smith, 2001; Thornton & Lee, 2000), in which the treatment effects estimated in individual studies are plotted against some measure of precision.”
Initial Severity and Antidepressant Benefits: A Meta-Analysis of Data Submitted to the Food and Drug Administration (2008, background): “Examination of publication bias often relies on inspections of effect sizes in relation to sample size (or inverse variance) [22].”
... and the Cross-Section of Expected Returns (2013, neutral): “47 See Begg and Berlin (1988) and Thornton and Lee (2000).”