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Within-group effects may be comparatively less prone to publication bias.
“This is unsurprising given observations that within-group effects may be comparatively less prone to publication bias (Sackett, 1979, p. 59).”
From Second language (L2) gains through digital game-based language learning (DGBLL): A meta-analysis (2022) · cites this paper as Sackett, 1979
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- Authors
- Sackett, D. L.
- Corresponding author
- Sackett, David L.
- Venue
- Journal of Chronic Diseases
- Publisher
- Elsevier BV
- Published
- 1979-01
- Volume
- 32
- Issue
- 1-2
- Pages
- 51-63
- ISSN
- 0021-9681 (ISSN-L)
- OpenAlex
- W2075917870
- Cited by
- 2,075
- References
- 2
- Citations by year
- 2026: 28 · 2025: 42 · 2024: 27 · 2023: 31 · 2022: 53 · 2021: 58 · 2020: 49 · 2019: 44 · 2018: 46 · 2017: 41 · 2016: 63 · 2015: 52 · 2014: 70 · 2013: 69 · 2012: 79
- FWCI
- 26.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Chronic Diseases (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- case-control study, cohort studies, rare diseases, research trends over time
- MeSH terms
- Epidemiologic Methods, Terminology as Topic, Research Design, Retrospective Studies, Sampling Studies, Statistics as Topic
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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.
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