Bias and Efficiency of Meta-Analytic Variance Estimators in the Random-Effects Model
By W. Viechtbauer. 2005
1,510 citations recorded by the source corpus.
Subfields: Public Health, Environmental and Occupational Health, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f8e29d05338a180e9458e468be57ce85e0337f07
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Public Health, Environmental and Occupational Health
- Mike W.-L. Cheung
- Tetsuya Hisasaka
- K. Ohtani
- Georgia Salanti
- Andrew L. Rukhin
- Louise Cowpertwait
- D. Clarke
- Paul T. von Hippel
In Statistics and Probability
- Georgia Salanti
- A. Chaimani
- Julian P. T. Higgins
- Mike W.-L. Cheung
- Dan Jackson
- Ian R. White
- Paul T. von Hippel
- M. Assink
Citations in the corpus
- How to unring the bell: A meta-analytic approach to correction of misinformation (2018, background): “These discrepancies are to be expected as the HS estimator has been shown to be negatively biased (Viechtbauer, 2005).”
- Multivariate Meta-Analysis as Structural Equation Models (2013, background): “However, limited simulation studies have been conducted to evaluate the empirical performance of these approaches in multivariate meta-analysis (but see Viechtbauer, 2005, for some empirical comparisons in univariate meta-analysis).”
- Current Methods for Meta-Analysis (2007, background): “, 2002), other estimators have been proposed and evaluated (Huedo-Medina, Sánchez-Meca, Marín-Martínez, & Botella, 2006; Viechtbauer, 2005), and new procedures to construct confidence intervals for the heterogeneity variance have recently been presented (Viechtbauer, 2007b).”
- Recreational angler satisfaction: What drives it? (2021, methodology): “Here, we used the restricted maximumlikelihood estimator, as it is the preferred option when the number of studies is small (Viechtbauer, 2005).”
- The Testing Effect in the Psychology Classroom: A Meta-Analytic Perspective (2017, methodology): “In a comparative review, this method was shown to provide a good balance between being unbiased and efficient, both important criteria for optimality of effect size estimators (Viechtbauer, 2005).”
- Heterogeneous global crop yield response to biochar: a meta-regression analysis (2013, methodology): “We therefore draw upon ‘meta-regression’ techniques [27, 28], in which observed effects are modeled as a function of a study-level random effect and a set of explanatory fixed effects.”
- Leadership behaviour and leader self-reported well-being: A review, integration and meta-analytic examination (2020, methodology): “We used the recommended restricted maximum likelihood estimation (REML) without correction to test our hypotheses, as it achieves a good balance between unbiasedness and efficiency (e.g. Viechtbauer, 2005).”
- Graphical Tools for Network Meta-Analysis in STATA (2013, methodology): “Numerous methods are available to estimate the heterogeneity variance in meta-analysis [31].”
- The heterogeneity statistic I2 can be biased in small meta-analyses (2015, background): “Any reasonable estimator of τ(2) will be limited to nonnegative values, and this will cause bias when the true value of τ(2) is close to zero [15,23].”
- Does job crafting always lead to employee well-being and performance? Meta-analytical evidence on the moderating role of societal culture (2020, background): “In line with Williams and Anderson (1991), we consider employee performance as both in-role and extra-role performance.”
- Beyond intelligence: a meta-analytic review of the relationship among metacognition, intelligence, and academic performance (2018, methodology): “The restricted maximum likelihood estimation approach was used to estimate τ2 (Viechtbauer 2005, 2010).”