Publication bias threatens the validity of quantitative evidence from meta-analyses as it results in some findings being overrepresented meta-analytic datasets because they are published more frequently or sooner (e.g. ‘positive’ results). Unfortunately, methods to test for presence publication bias, assess its impact on results, unsuitable with high heterogeneity and non-independence, is commo...

normal 0 false false false en-us x-none ar-sa previous studies have inspected the associations between adiponectin (adipoq) 276g/t polymorphisms and atherosclerosis, but the results are inconclusive. the aim of this study was to explore the relationship between polymorphism +276 g > t (rs1501299) in adipoq and atherosclerosis. a widespread search was directed to identify all studies on the asso...

In meta-analysis, between-study heterogeneity indicates the presence of effect-modifiers and has implications for the interpretation of results in cost-effectiveness analysis and decision making. A distinction is usually made between true variability in treatment effects due to variation in patient populations or settings and biases related to the way in which trials were conducted. Variability...

Meta-analyses that synthesize statistical evidence across studies have become important analytical tools for genetic studies. Inspired by the success of genome-wide association studies of the genetic main effect, researchers are searching for gene × environment interactions. Confounders are routinely included in the genome-wide gene × environment interaction analysis as covariates; however, thi...

The effect of unions on profits continues to be an unresolved empirical issue. In this paper, meta-regression analysis is applied to the population of 45 econometric studies that report 532 estimates of the direct effect of unions on profits. We show that unions have a significant negative effect on profits, and that this effect is larger in the US. Separate meta-regression analysis is used to ...