Hi everyone,
I'm running a two-stage IPD meta-analysis by using ipdmetan:
ipdmetan, study(StudyID) random(reml) title(RMS-EO-AP) texts(110) forest(favours(Control # LBP)): xtmixed RMS i0.Group c.Age i.Sex c.BMI if Eyes==3 & Direction==1
I would like to ask about how to calculate the standardized mean difference as when I added esize(hedgesg):
ipdmetan, study(StudyID) random(reml) esize(hedgesg) title(RMS-EO-AP) texts(110) forest(favours(Control # LBP)): xtmixed RMS i0.Group c.Age i.Sex c.BMI if Eyes==3 & Direction==1
I received an error message "option hedgesg is incompatible with command-based syntax (Syntax 1)".
Thanks
Related Posts with How to calculate standardized mean difference using ipdmetan (two-stage IPD meta-analysis)?
cluster robust hausman test for multiway clusteringDear all, I was looking to run a generalized hausman test for panel models with cluster-robust stan…
generate all Root MSE from regressionHey there, I have run 722 regressions with my data set for each firm year by using: bysort variable…
Autocorrelation and ARCH/GARCHHi, I have times series of a stock return, and I want to detect if there is any effect on the month…
Looping through Stata datasets applying the same processing codeHello, I have a large dataset that I have split into 10 chunks, I have written some code to loop th…
cmp with panel dataDavid Roodman. Excuse me, Sir, a quick question. How can I use cmp command to run a two-way fixed mo…
Subscribe to:
Post Comments (Atom)
0 Response to How to calculate standardized mean difference using ipdmetan (two-stage IPD meta-analysis)?
Post a Comment