Top 2 Bitss Papers Today in Physical Sciences And Mathematics


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#1. Preprint_vanAert_vanAssen18
Robbie C. M. van Aert, Marcel A.L.M. van Assen
Publication bias is a major threat to the validity of a meta-analysis resulting in overestimated effect sizes. P-uniform is a meta-analysis method that corrects estimates for publication bias, but the method overestimates average effect size in the presence of heterogeneity in true effect sizes (i.e., between-study variance). We propose an extension and improvement of the p-uniform method called p-uniform*. P-uniform* improves upon p-uniform in three important ways, as it (i) entails a more efficient estimator, (ii) eliminates the overestimation of effect size in case of between-study variance in true effect sizes, and (iii) enables estimating and testing for the presence of the between-study variance in true effect sizes. We compared the statistical properties of p-uniform* with the selection model approach of Hedges (1992) as implemented in the R package “weightr” and the random-effects model in both an analytical and a Monte-Carlo simulation study. Results revealed that the statistical properties of p-uniform* and the selection...
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ysTtsEVFDLcgPIY: RT @JelteWicherts: New version of P-uniform that corrects for publication bias in random effects meta-analyses. https://t.co/xVnVXUZnNf
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Authors: 2
Total Words: 17610
Unqiue Words: 3178

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#2. Dissertation R.C.M. van Aert
Robbie C. M. van Aert
More and more scientific research gets published nowadays, asking for statistical methods that enable researchers to get an overview of the literature in a particular research field. For that purpose, meta-analysis methods were developed that can be used for statistically combining the effect sizes from independent primary studies on the same topic. My dissertation focuses on two issues that are crucial when conducting a meta-analysis: publication bias and heterogeneity in primary studies’ true effect sizes. Accurate estimation of both the meta-analytic effect size as well as the between-study variance in true effect size is crucial since the results of meta-analyses are often used for policy making. Publication bias distorts the results of a meta-analysis since it refers to situations where publication of a primary study depends on its results. We developed new meta-analysis methods, p-uniform and p-uniform*, which estimate effect sizes corrected for publication bias and also test for publication bias. Although the methods...
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Total Words: 115012
Unqiue Words: 12731

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