How to perform a meta-analysis for single group?

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Gordon L Warren

The Comprehensive Meta-Analysis software is set up to do this.

David Morse

Hello Gayatri,

It depends on what you're investigating and how you define effect size. If a meta-analytic study was being conducted, say, on the average body mass index of adolescent females with eating disorders, the statistic of interest is the obtained BMI from each individual group/batch reported. So, no "comparison" group is involved.

Good luck with your work.

Matthew Kerry

I'd recommend converting ESs to generic point estimate (e.g., Hedge's G).

Hope this helps,

Matt

Gayatri Vishwakarma

Thanks Matthew for your response. But How could I do it for categorical variable in Revman? could you please elaborate?

Gabriele Midolo

Hi Gayatri,

In meta-analysis you can compute and use as an effect size the raw means (or the coefficients of variation of the mean; see Nakagawa et al. 2015) of single groups without comparison. You can use the 'escalc' function of the metafor R package (Viechtbauer, 2010) to do so.

It is quite straightforward to use and you can also produce nice forest plots with this package.

See the following for more information on how to compute 'raw mean' with escalc(): https://www.rdocumentation.org/packages/metafor/versions/2.1-0/topics/escalc

Nakagawa, S., Poulin, R., Mengersen, K., Reinhold, K., Engqvist, L., Lagisz, M., & Senior, A. M. (2015). Meta-analysis of variation: Ecological and evolutionary applications and beyond. Methods in Ecology and Evolution, 6, 143--152.

Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1--48. http://www.jstatsoft.org/v36/i03/.

Thanks Gabriele for this information. I will try R to draw a forest plot for single variable.

Taifeng Du

hi，

I would recommend STATA to conduct the meta-analysis on one comparition arm studies. Based the datatype you refered，using it is a best choice to synthesize data results quickly. Additionally，one-arm meta-analysis indicates only a comparison with b, and multi-arm meta (network) indicates a, b, c... comparisons. I suggest using R to implement network meta-analysis.