(a) High statistical heterogeneity with inconsistency in direction of effects (uncertain benefit or harm). (b) High statistical heterogeneity with consistency in direction of effects (benefit). Blue boxes represent effect estimates from individual studies; red diamonds represent pooled effect estimates. Risk ratio greater than 1 represents benefit, less than 1 represents harm [37–40].</p
The random effects model in meta-analysis is a standard statistical tool often used to analyze the e...
In meta-analysis, the random-effects model is often used to account for heterogeneity. The model ass...
Contains fulltext : 137008.pdf (Publisher’s version ) (Closed access)Variance betw...
Objectives: Meta-analyses are routinely evaluated for the presence of large between-study heterogene...
Heterogeneity in meta-analysis describes differences in treatment effects between trials that exceed...
Meta-regression analysis showing the potential sources of heterogeneity on pooled effect size in stu...
Evaluation of important causes of heterogeneity among study results is an important component of any...
A relevant problem in meta-analysis concerns the possible heterogeneity between trial results. If a ...
To conduct a meta-analysis, one needs to express the results from a set of related studies in terms ...
Meta-regression analysis showing the potential sources of heterogeneity on pooled effect size in stu...
Inmeta-analysis, between-study heterogeneity indicates the presence of effect-modifiers and has impl...
The goal of a meta-analysis is not only to synthesize the information of selected studies, estimate ...
<p>Analysis of meta-regression exploring sources of heterogeneity considering mean age, sex, adjuste...
Meta-analysis is a fundamental tool for quantitatively pooling results from individual studies to in...
<p>Meta-analysis results by different categories, showing the number observations used, the pooled e...
The random effects model in meta-analysis is a standard statistical tool often used to analyze the e...
In meta-analysis, the random-effects model is often used to account for heterogeneity. The model ass...
Contains fulltext : 137008.pdf (Publisher’s version ) (Closed access)Variance betw...
Objectives: Meta-analyses are routinely evaluated for the presence of large between-study heterogene...
Heterogeneity in meta-analysis describes differences in treatment effects between trials that exceed...
Meta-regression analysis showing the potential sources of heterogeneity on pooled effect size in stu...
Evaluation of important causes of heterogeneity among study results is an important component of any...
A relevant problem in meta-analysis concerns the possible heterogeneity between trial results. If a ...
To conduct a meta-analysis, one needs to express the results from a set of related studies in terms ...
Meta-regression analysis showing the potential sources of heterogeneity on pooled effect size in stu...
Inmeta-analysis, between-study heterogeneity indicates the presence of effect-modifiers and has impl...
The goal of a meta-analysis is not only to synthesize the information of selected studies, estimate ...
<p>Analysis of meta-regression exploring sources of heterogeneity considering mean age, sex, adjuste...
Meta-analysis is a fundamental tool for quantitatively pooling results from individual studies to in...
<p>Meta-analysis results by different categories, showing the number observations used, the pooled e...
The random effects model in meta-analysis is a standard statistical tool often used to analyze the e...
In meta-analysis, the random-effects model is often used to account for heterogeneity. The model ass...
Contains fulltext : 137008.pdf (Publisher’s version ) (Closed access)Variance betw...