The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Publication Bias in Meta‐Analysis
Abstract
This chapter contains sections titled: Publication Bias As a Threat to Validity Organization of the Book Our Modest Proposal References
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In the citing paper
“This is reinforced with a diagnostic test (Egger's test run in CMA as demonstrated in Rothstein, Sutton, & Borenstein, 2005) that showed no evidence of publication or small-study bias, t(57) = .87,p = .386(2-tailed).”
From Legitimacy in Policing: A Systematic Review (2013) · cites this paper as Rothstein, Sutton, & Borenstein, 2005
In the citing paper
“Many proposed adjustment methods can also lead to overcorrection and distort results72.”
From When combinations of humans and AI are useful: A systematic review and meta-analysis (2024) · cites this paper as [72]
In the citing paper
“Funnel plots, Egger tests of funnel plot asymmetry and fail-safe number tests were used to assess publication bias( 37 )”
Citations
Cites
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Metadata
- Authors
- Rothstein, H. R., Sutton, A. J., & Borenstein, M.
- Affiliations
- Baruch College (US)
- Long Island Jewish Medical Center (US)
- Venue
- Publication Bias in Meta‐Analysis
- Publisher
- Wiley
- Published
- 2005-10-07
- Pages
- 1-7
- OpenAlex
- W2146302105
- Cited by
- 603
- References
- 8
- Citations by year
- 2026: 21 · 2025: 44 · 2024: 54 · 2023: 47 · 2022: 46 · 2021: 57 · 2020: 38 · 2019: 21 · 2018: 15 · 2017: 30 · 2016: 29 · 2015: 26 · 2014: 30 · 2013: 23 · 2012: 32
- Type
- other
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- publication bias, meta-analysis validity, research bias
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.
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