[R-meta] [R meta] How to print z score for subgroup analysis
Cath Kids
c@thk|d@|over @end|ng |rom gm@||@com
Tue May 21 00:55:33 CEST 2019
Dear Michael and Guido,
Thank you very much for your reply!
Yes, what I mean is z-scores for the individual subgroup effects. Thank you
for the R command from Guido!
I did report the between subgroup differences but I also see from the
meta-analyses (at least those in my field) report each subgroup effect (z
scores), so I thought I should report that too.
I've got one more question, can anyone please enlighten me whether is it
generally more preferable to use random-effect model for subgroup analysis
than mixed effect model? (as suggested by Cochrane handbook
https://handbook-5-1.cochrane.org/chapter_9/9_6_3_1_is_the_effect_different_in_different_subgroups.htm)
Or is there any circumstance where it is better to use the mixed effect
model? I read a few meta-analyses which used mixed effect model for
subgroup analysis so I'm wondering why.
Thank you very much!
Regards,
Joanne
On Mon, May 20, 2019 at 10:21 AM Guido Schwarzer <sc using imbi.uni-freiburg.de>
wrote:
> Joanne,
>
> The z-scores for the individual subgroup effects (if this is what you
> are looking for) are not shown in the output, however, they are part of
> the meta-analysis object.
>
> You can use the following command to extract the z-scores and p-values
> for the fixed effect and random effects model:
>
> with(post_cb2_es.subgroup,
> data.frame(bylevs, zval.fixed.w, pval.fixed.w,
> zval.random.w, pval.random.w))
>
> However, you should abstain from selectively reporting significant
> subgroup results. Instead, the Cochrane Handbook
> (https://handbook-5-1.cochrane.org/) gives the following advice (among
> other things) on subgroup analyses: (1) conduct a test for subgroup
> differences (section 9.6.3.1) which Michael already mentioned and (2) do
> not compare the statistical significance of the results within separate
> subgroup analyses (section 9.6.6).
>
> Best wishes, Guido
>
> --
> Dr. Guido Schwarzer
> Institute of Medical Biometry and Statistics,
> Faculty of Medicine and Medical Center - University of Freiburg
>
> Postal address: Stefan-Meier-Str. 26, D-79104 Freiburg
>
> Phone: +49/761/203-6668
> Mail: sc using imbi.uni-freiburg.de
> Homepage: http://www.imbi.uni-freiburg.de
>
>
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