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Investigating and Dealing with Publication and Other Biases
Abstract
This chapter contains section titled: Summary Points Funnel Plots Other Graphical Methods Statistical Methods to Detect and Correct for Bias Conclusions Acknowledgements
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“The Egger regression asymmetry test was conducted to assess publication bias, considering P < .10 to be statistically significant.24”
From Association Between Screen Media Use and Academic Performance Among Children and Adolescents: A Systematic Review and Meta-analysis (2019) · cites this paper as [24]
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Self-citation
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Metadata
- Authors
- Sterne, J. A. C., Egger, M., & Smith, G. D.
- Venue
- Systematic Reviews in Health Care
- Publisher
- Wiley
- Published
- 2001-01
- Pages
- 189-208
- OpenAlex
- W1606586277
- Cited by
- 449
- References
- 50
- Citations by year
- 2025: 4 · 2024: 5 · 2023: 4 · 2022: 3 · 2021: 7 · 2020: 4 · 2019: 10 · 2018: 7 · 2017: 8 · 2016: 15 · 2015: 26 · 2014: 26 · 2013: 26 · 2012: 43
- Type
- other
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Keywords
- publication bias, reporting bias, funnel plot, bias detection, bias correction, meta-analysis, graphical method
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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