Hello everyone, Is it possible to get your recommendations regarding which meta analysis program i should be using? R vs Revman vs CMA or SPATA?
Choosing the right program for meta-analysis depends on various factors such as your familiarity with statistical software, the complexity of your analysis, and your specific needs. Here's a brief overview of the options you mentioned:
1. **R**: R is a powerful statistical computing language that offers numerous packages for conducting meta-analysis. It provides flexibility and customization options but may have a steeper learning curve for beginners.
2. **Revman (Review Manager)**: Revman is a software developed by the Cochrane Collaboration specifically for conducting systematic reviews and meta-analyses. It's user-friendly and widely used in the field of healthcare research.
3. **Comprehensive Meta-Analysis (CMA)**: CMA is a user-friendly software designed specifically for meta-analysis. It offers a range of statistical techniques and visualization tools tailored for meta-analytic research.
4. **SPATA (Spatial and Temporal Analysis)**: SPATA seems to be less commonly known compared to the other options you mentioned. Without more information, it's difficult to provide specific insights into its suitability for meta-analysis.
Consider factors like your level of expertise, the features you require, and compatibility with your research context when making your decision. Additionally, exploring tutorials or seeking advice from colleagues who have experience with these programs can help you make an informed choice.
Tarun Parashar " thank you. I am a doctor/physician and cannot seem to decide between Revman and CMA. I have never done a meta-analysis before
The R packages (especially the "metafor" package) are excellent, but using R may not be easy.
If you are to choose between revman and CMA, I would go with CMA, as revman provides very limited tools. Even some simple meta-analytic models such as meta-regression are not available in revman (though I am not sure about its recent possible developments).
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