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.
![What_is_XMeta](https://xmeta.org/wp-content/uploads/2020/09/What_is_XMeta.png)
300+
Users
18,000+
Downloads
30+
Publications
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.
![NPHH_M76_09](https://xmeta.org/wp-content/uploads/2020/10/NPHH_M76_09.png)
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.
![stata-logo](https://xmeta.org/wp-content/uploads/2018/01/stata-logo-300x86.png)
![724px-R_logo.svg 724px-R_logo.svg](https://xmeta.org/wp-content/uploads/2018/01/724px-R_logo.svg_-e1597792245259.png)
![1280px-SAS_logo_horiz.svg](https://xmeta.org/wp-content/uploads/2018/01/1280px-SAS_logo_horiz.svg_.png)