Adjusting for Publication Bias in Meta-Analysis

By Blakeley B. McShane, Ulf Böckenholt, Karsten Hansen. Perspectives on Psychological Science, 2016

388 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c7ff2bb2e55c26043b9a6ffefbe1f618a20decfb

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Citations in the corpus

Estimating Population Mean Power Under Conditions of Heterogeneity and Selection for Significance (2020, background): “, before and after selection for significance) has produced a lot of confusion and unnecessary criticism of selection models in general (McShane et al., 2016).”
Brain volume and intelligence: The moderating role of intelligence measurement quality (2017, background): “Some simulation research suggests that some approaches may be expected to perform more validly under certain conditions (McShane et al., 2016).”
Correcting for Bias in Psychology: A Comparison of Meta-Analytic Methods (2019, methodology): “…techniques designed to identify and correct for bias, and several simulation studies have compared the performance of some of these tools (e.g., Moreno et al., 2009; Rücker, Carpenter, & Schwarzer, 2011; T. Stanley & Doucouliagos, 2014; Simonsohn, Nelson, & Simmons, 2014; McShane et al., 2016).”
Large-Scale Replication Projects in Contemporary Psychological Research (2017, background): “Again, however, despite the extreme degree of closeness, heterogeneity is nontrivial: random effects meta-analyses yield nonzero estimates of heterogeneity for nine of the 14 nonnull phenomena, and across these, the average I2 was 21% (McShane, Böckenholt, and Hansen 2016).”
Three ways to make replication mainstream (2017, background): “ect replication; even under such strict conditions, effect sizes did indeed differ (i.e., are heterogeneous or contextually variable) across labs and to roughly the same degree as sampling variation (McShane, et al., 2016; Stanley et al., 2017). This renders ZELD’s suggestion of conducting direct re”
Single Paper Meta-Analysis: Benefits For Study Summary, Theory-Testing, and Replicability (2017, methodology): “Finally, because the purpose of SPM is to summarize sets of studies that appear in a typical behavioral research paper, our SPM methodology does not attempt to assess or adjust for publication bias or any other forms of bias in the studies (McShane et al. 2016; Rothstein, Sutton, and Borenstein 2005”
Tourism and Economic Growth: A Meta-regression Analysis (2019, methodology): “Type I and Type II Publication Bias Controlling for publication bias is an important exercise in a meta-regression analysis (McShane, Böckenholt, and Hansen 2016).”
The Triple P-Positive Parenting Program: a systematic review and meta-analysis of a multi-level system of parenting support. (2014, methodology): “Third, trim and ﬁ ll analyses were conducted by imputing values in the funnel plot to make it symmetrical and computing a corrected effect size estimate (Duval & Tweedie, 2000).”