[R-meta] moderator and adjusted effects

Valeria Ivaniushina v@|v@n|u@h|n@ @end|ng |rom gm@||@com
Mon Dec 14 18:13:41 CET 2020

Dear experts,

In my sample of articles for meta-analysis there are three categories, or
three conditions, that may influence the effect of interest.

I am more interested in estimating different effects from these conditions
than in explaining heterogeneity in effect sizes.
1) I can do a meta-analysis for each of these conditions separately and get
three different mean effect sizes.
2) Or I can do a meta-analysis of the whole sample, then include a
condition as a moderator and calculate adjusted effects as described here :

Which option is better?

Additional question:  when I include a categorical moderator, is it the
same as including a dummy variable in a regression?
How can I specify that the variable is categorical with 3 levels?


	[[alternative HTML version deleted]]

More information about the R-sig-meta-analysis mailing list