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A random-effects meta-analysis would be used to pool effect estimates across studies where they are assumed to vary and follow some distribution across studies.
Rubin's rules will be used to pool the results from the different multiply imputed datasets.
The technique of statistical overview (meta-analysis) can be used to pool observational studies.
Meta-analysis can be used to pool rate measures across studies, but challenges arise when follow-up duration varies.
A fixed-effects model and a random-effects model will be used to pool effect size as appropriate according to the results of heterogeneity tests (http://www.cochrane.org/handbook).org/handbook
Random effects meta-analysis using a Bayesian approach will be used to pool summary effects for observational evidence and the results will be reported by using a caterpillar plot.
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The random effects model was used to pool data [27].
The meta function in R.v.3.0 was used to pool results and produce forest plots.
Especially, the method applies to large or small samples.
A squared sum of spatial and temporal saliency maps has been used to pool them together for computing the overall spatio-temporal map.
Theoretical discussions or separate and independent meta-analyses of p-values or of effect sizes were used to pool information about each variable.
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