Empirical assessment of effect of publication bias on meta-analyses
By A. Sutton, S. Duval, Richard L. Tweedie, K. Abrams, David R. Jones. British medical journal, 2000
1,399 citations recorded by the source corpus.
Subfields: History and Philosophy of Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f43cb22fba419915e4703bc679447f06a1dab0d5
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In History and Philosophy of Science
In Statistics and Probability
- Holger J. Schünemann
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Citations in the corpus
- Effects of beverage alcohol price and tax levels on drinking: a meta-analysis of 1003 estimates from 112 studies. (2009, result): “[24] examined publication bias empirically across meta-analyses; while 54% of metaanalyses studied were determined to have had missing studies, these biases ‘did not affect the conclusions’ of the meta-analyses.”
- The significance of insecure attachment and disorganization in the development of children's externalizing behavior: a meta-analytic study. (2010, methodology): “However, as smaller or nonsignificant studies are less likely to be published (the ‘‘file-drawer’’ problem; Mullen, 1989), studies in the bottom left-hand corner of the plot are often omitted (Sutton et al., 2000).”
- The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis (2014, methodology): “To assess publication bias, we examined funnel plots, Begg and Mazumdar’s rank correlation test, and Egger’s regression intercept test [76].”
- Postmenopausal status and early menopause as independent risk factors for cardiovascular disease: a meta-analysis (2006, background): “The investigators found that missing studies changed the conclusion in less than 10% of the meta-analyses.(32) In general, recall of age at menopause might be a problem, especially for older women for whom more time since menopause has passed.”
- Salt intake, stroke, and cardiovascular disease: meta-analysis of prospective studies (2009, methodology): “The influence of individual studies, from which the meta-analysis estimates are derived, was examined by omitting one study at a time to see the extent to which inferences depend on a particular study or group of studies (sensitivity analysis). Subgroup or meta-regression analyses were used to ident”
- The many faces of the Still-Face Paradigm: A review and meta-analysis (2009, background): “…standard errors ) have increasingly large variation in estimates of their effect size as random variation becomes increasingly influential, whereas studies with larger sample sizes have smaller variation in effect sizes (Duval & Tweedie, 2000b; Sutton, Duval, Tweedie, Abrams, & Jones, 2000).”
- Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection (2007, background): “Unless half or more of the research literature is selected for statistical significance, FAT is unlikely to detect it.”
- The significance of insecure and disorganized attachment for children's internalizing symptoms: a meta-analytic study. (2012, background): “However, since smaller nonsignificant studies are less likely to be published (the ‘‘file-drawer’’ problem; Mullen, 1989), studies in the bottom left-hand corner of the plot are often omitted (Sutton et al., 2000).”