[R-meta] Subgroup analysis output using metafor - interpretation
@c @end|ng |rom |mb|@un|-|re|burg@de
Thu Jan 9 19:31:13 CET 2020
Am 09.01.20 um 15:26 schrieb Joao Afonso:
> As for the outliers I could take a step back and instead of removing them
> leave them in the data-set and see what happens when conducting the
> sub-group analysis. Is this best practice when conducing a meta-analysis?
I am no expert on outlier detection (in meta-analysis), however, I would
say that it is in general a good idea to try to explain between-study
heterogeneity using subgroup analysis or meta-regression first.
An intrinsic feature / problem of the meta-analysis of prevalences is
typically the substantial between-study heterogeneity (which is clearly
visible in your meta-analysis with an I2 of 99.7%). In my view, the main
aim of a prevalence meta-analysis is actually to describe this
heterogeneity. Removing outliers would reduce this heterogeneity and
paint a different picture. I assume that there will be still substantial
heterogeneity after conducting subgroup analyses. Prediction intervals
can help to properly describe the between-study heterogeneity.
Best wishes, Guido
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