[R-meta] Mismatch between output from sub-group analysis and forest plot
Guido Schwarzer
@c @end|ng |rom |mb|@un|-|re|burg@de
Fri Feb 14 14:13:37 CET 2020
Joao,
I can only find a very subtle difference in the results of the
Freeman-Tukey method between *meta* and *metafor*. While *meta* uses
subgroup-specific harmonic means to back-transform results, *metafor*
uses the harmonic mean of all studies for both subgroups. Differences
are only visible in the third digit for prevalence estimates and
confidence intervals.
Another point to mention is that differences in results of random
effects subgroup analyses (i) allowing for different estimates of the
between-study variance tau2 and (ii) assuming a common value of tau2
have to be expected. It should be clear that subgroup analyses assuming
a common value for tau2 of 0.0218 produce different results than two
separate subgroup analyses using values of 0.0109 and 0.0269, respectively.
Best wishes, Guido
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