In a meta-analysis, a question always arises. Is it worthwhile to combine estimates from
studies of different populations using various formulations of an intervention, evaluating …

For meta‐analysis, substantial uncertainty remains about the most appropriate statistical
methods for combining the results of separate trials. An important issue for meta‐analysis is …

In meta-analysis, when the difference in results between studies is greater than would be
expected by chance, one needs to investigate whether the observed variation in results …

It is generally accepted that meta-analyses should assess heterogeneity, which may be
defined as the presence of variation in true effect sizes underlying the different studies. This …

In any meta-analysis it is important to know how the effect size varies across studies. For
example, consider a metaanalysis where the mean odds ratio is 0.50. If the odds ratio …

By using a published meta-analysis as an example, this paper discusses the use of L'Abbé
plot for investigating the potential sources of heterogeneity in meta-analysis. As compared …

Background Many meta-analyses contain only a small number of studies, which makes it
difficult to estimate the extent of between-study heterogeneity. Bayesian meta-analysis …

There has been a lot of skepticism over the years regarding the value of a meta-analysis.
One major area of disagreement has been the divergent findings obtained by pooled meta …

In any meta‐analysis, it is critically important to report the dispersion in effects as well as the
mean effect. If an intervention has a moderate clinical impact on average we also need to …

The growth in comparative effectiveness research and evidence-based medicine has
increased attention to systematic reviews and meta-analyses. Meta-analysis synthesizes …