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Röver, Christian; Friede, Tim – Research Synthesis Methods, 2022
The variance-stabilizing Freeman-Tukey double arcsine transform was originally proposed for inference on single proportions. Subsequently, its use has been suggested in the context of meta-analysis of proportions. While some erratic behavior has been observed previously, here we point out and illustrate general issues of monotonicity and…
Descriptors: Meta Analysis, Research Problems, Statistical Analysis
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Stanley, T. D.; Doucouliagos, Hristos; Ioannidis, John P. A. – Research Synthesis Methods, 2022
Recent, high-profile, large-scale, preregistered failures to replicate uncover that many highly-regarded experiments are "false positives"; that is, statistically significant results of underlying null effects. Large surveys of research reveal that statistical power is often low and inadequate. When the research record includes selective…
Descriptors: Meta Analysis, Replication (Evaluation), Statistical Analysis, Research Problems
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Papadimitropoulou, Katerina; Riley, Richard D.; Dekkers, Olaf M.; Stijnen, Theo; le Cessie, Saskia – Research Synthesis Methods, 2022
Meta-analysis is a widely used methodology to combine evidence from different sources examining a common research phenomenon, to obtain a quantitative summary of the studied phenomenon. In the medical field, multiple studies investigate the effectiveness of new treatments and meta-analysis is largely performed to generate the summary (average)…
Descriptors: Effect Size, Meta Analysis, Evidence, Medicine
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Bramley, Paul; López-López, José A.; Higgins, Julian P. T. – Research Synthesis Methods, 2021
Standard meta-analysis methods are vulnerable to bias from incomplete reporting of results (both publication and outcome reporting bias) and poor study quality. Several alternative methods have been proposed as being less vulnerable to such biases. To evaluate these claims independently we simulated study results under a broad range of conditions…
Descriptors: Meta Analysis, Bias, Research Problems, Computation
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Bom, Pedro R. D.; Rachinger, Heiko – Research Synthesis Methods, 2020
Meta-studies are often conducted on empirical findings obtained from overlapping samples. Sample overlap is common in research fields that strongly rely on aggregated observational data (eg, economics and finance), where the same set of data may be used in several studies. More generally, sample overlap tends to occur whenever multiple estimates…
Descriptors: Meta Analysis, Sampling, Research Problems, Computation
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Schwarzer, Guido; Chemaitelly, Hiam; Abu-Raddad, Laith J.; Rücker, Gerta – Research Synthesis Methods, 2019
Standard generic inverse variance methods for the combination of single proportions are based on transformed proportions using the logit, arcsine, and Freeman-Tukey double arcsine transformations. Generalized linear mixed models are another more elaborate approach. Irrespective of the approach, meta-analysis results are typically back-transformed…
Descriptors: Meta Analysis, Statistical Analysis, Research Problems
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Bender, Ralf; Friede, Tim; Koch, Armin; Kuss, Oliver; Schlattmann, Peter; Schwarzer, Guido; Skipka, Guido – Research Synthesis Methods, 2018
In systematic reviews, meta-analyses are routinely applied to summarize the results of the relevant studies for a specific research question. If one can assume that in all studies the same true effect is estimated, the application of a meta-analysis with common effect (commonly referred to as fixed-effect meta-analysis) is adequate. If…
Descriptors: Evidence, Synthesis, Meta Analysis, Research Problems