Publication bias
BMC Medical Research Methodology, 2004 Background Publication bias, as typically defined, refers to the decreased likelihood of studies' results being published when they are near the null, not statistically significant, or otherwise "less interesting." But choices about how to analyze the ...
Phillips Carl V
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The Perils of Misinterpreting and Misusing "Publication Bias" in Meta-analyses: An Education Review on Funnel Plot-Based Methods. [PDF]
Sports Med, 2023 Publication bias refers to a systematic deviation from the truth in the results of a meta-analysis due to the higher likelihood for published studies to be included in meta-analyses than unpublished studies.
Afonso J +4 more
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Quantitative evidence synthesis: a practical guide on meta-analysis, meta-regression, and publication bias tests for environmental sciences. [PDF]
Environ Evid, 2023 Meta-analysis is a quantitative way of synthesizing results from multiple studies to obtain reliable evidence of an intervention or phenomenon. Indeed, an increasing number of meta-analyses are conducted in environmental sciences, and resulting meta ...
Nakagawa S +4 more
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No evidence for nudging after adjusting for publication bias. [PDF]
Proc Natl Acad Sci U S A, 2022 Thaler and Sunstein’s “nudge” (1) has spawned a revolution in behavioral science research. Despite its popularity, the “nudge approach” has been criticized for having a “limited evidence base” (e.g., ref. 2). Mertens et al.
Maier M +5 more
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Robust Bayesian meta-analysis: Model-averaging across complementary publication bias adjustment methods. [PDF]
Res Synth Methods, 2023 Publication bias is a ubiquitous threat to the validity of meta‐analysis and the accumulation of scientific evidence. In order to estimate and counteract the impact of publication bias, multiple methods have been developed; however, recent simulation ...
Bartoš F +4 more
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Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology. [PDF]
BMC Biol, 2023 Collaborative efforts to directly replicate empirical studies in the medical and social sciences have revealed alarmingly low rates of replicability, a phenomenon dubbed the ‘replication crisis’.
Yang Y +8 more
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Using selection models to assess sensitivity to publication bias: A tutorial and call for more routine use. [PDF]
Campbell Syst Rev, 2022 In meta‐analyses, it is critical to assess the extent to which publication bias might have compromised the results. Classical methods based on the funnel plot, including Egger's test and Trim‐and‐Fill, have become the de facto default methods to do so ...
Maier M, VanderWeele TJ, Mathur MB.
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Publication bias, time-lag bias, and place-of-publication bias in social intervention research: An exploratory study of 527 Swedish articles published between 1990-2019. [PDF]
PLoS ONE, 2023 Publication and related biases constitute serious threats to the validity of research synthesis. If research syntheses are based on a biased selection of the available research, there is an increased risk of producing misleading results.
Tina M Olsson, Knut Sundell
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Sensitivity analysis for publication bias in meta-analyses. [PDF]
J R Stat Soc Ser C Appl Stat, 2020 We propose sensitivity analyses for publication bias in meta‐analyses. We consider a publication process such that ‘statistically significant’ results are more likely to be published than negative or “non‐significant” results by an unknown ratio, η.
Mathur MB, VanderWeele TJ.
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Publication bias and the tourism-led growth hypothesis. [PDF]
PLoS ONE, 2021 This study attempts to solve the publication bias suggested by recent review articles in the tourism-growth literature. Publication bias is the tendency to report favourable and significant results. Method and data triangulation, and the Solow-Swan model
Nikeel Nishkar Kumar +3 more
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