Hi All,
As part of preliminary descriptive analysis I need to examine pairwise
correlations between the effect size and a large number of possible
covariates. The tricky part is that I have discovered I need to examine
pairwise correlations which take into account a random effects
component. I can do this by specifying bivariate random effect
regressions using a metaregW macro in a foreach command as below:
*****
foreach var of varlist VarGrp1_* VarGrp_2* VarGrp_3* {
metaregW EffectSize `var' [aw=weight] , model(ml)
}
*****
But, this produces lots of extraneous output (R^2, Qs, 95%CIs, etc.)
since I only need the B1_coef and p-value from each run.
So, I am looking for a way to either capture the target values in a
table/list via a modification of the above command, or an alternative
method of creating a list of the B1_coefs and p's for this problem.
Any suggestions?
Much thanks,
Wendy
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
