[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 :
http://www.metafor-project.org/doku.php/tips:computing_adjusted_effects
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?
Best,
Valeria
[[alternative HTML version deleted]]
More information about the R-sig-meta-analysis
mailing list