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 …

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 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 …

Numerous meta‐analyses in healthcare research combine results from only a small number
of studies, for which the variance representing between‐study heterogeneity is estimated …

Sabitova et al1 have performed an important service in compiling and summarizing 2
decades of studies on job burnout and satisfaction among physicians and dentists in middle …

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 …

Background Several approaches are available for evaluating heterogeneity in meta-
analysis. Sensitivity analyses are often used, but these are often implemented in various non …

Background: Meta‐regression has grown in popularity in recent years, paralleling the
increasing numbers of systematic reviews and meta‐analysis published in the biomedical …

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 …

Evidence-based research is used to generate, summarise, and understand the best
available practices to inform decision-making. Systematic reviews (SR) and meta-analysis …