Dear all,
I am conducting a meta-analysis of effect of certain interventions on household energy consumption. In my data set I have a dummy variable for each of the sub-interventions: A,B,C,D such that intersection of A=0 & B=0 & C=0 & D=0 is zero. Each effect size may be associated with multiple interventions though.
I have calculated an aggregate effect size across interventions and then effect size by sub-intervention. But I also want to compare if the effect of the sub-interventions differs from each other. I thought about including the sub-regression dummies as controls in the meta regression:
rma (yi, vi, method = "REML", data = data, mods ~ A*B*C*D)
The problem in interpreting the output of this regression is that there is no base category left for the intercept to denote. Can I perhaps run the model by supressing the intercept? Or what would be the interpretation of the intercept in this case?
Thanks in advance!
Best
Tarun
Tarun Khanna
PhD Researcher
Hertie School
Friedrichstra?e 180
10117 Berlin ? Germany
khanna at hertie-school.org ? www.hertie-school.org<http://www.hertie-school.org/>