Meta-analysis is the statistical method for combining both qualitative and quantitative outcomes from multiple studies to draw statistically stronger conclusions. Researchers may want to use meta-analysis because of the greater statistical power it creates by means of having a larger number of subjects and results than any individual study.
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What is Xmeta?
Xmeta is an open-sourced, well-documented and interactive toolboxfor meta-analysis. There are three main components to this toolbox:An R package called xmeta(), video tutorials and documentation for the package and a web-based analysis platform. Xmeta provides a convenient and straightforward platform for a wide range of users to conduct the meta-analysis.
FAQ
What is meta-analysis? Who makes use of meta-analyses?
Meta-analysis is the statistical method for combining both qualitative and quantitative outcomes from multiple studies to draw statistically stronger conclusions.
When you need meta-analysis?
- To develop estimate of the effect size based on multiple studies
- To establish statistical significance with studies that have inconsistent results
- To provide analysis of safety, efficacy, and benefits
- To compare subgroups of studies
What is the benefit of using xmeta? / Why use xmeta?
The web-based xmeta online platform supports efficient and accurate meta-analysis studies without requiring any programming skills.
