Hi
I'm conducing a meta-analysis using the meta package.
Here's a bit of code that works fine -
tmp <- metacont(samplesize.2, pctdropout.2, sddropout.2,
samplesize.1, pctdropout.1, sddropout.1,
data=Dataset, sm="WMD")
I would now like to control for a couple of variables (continuous and
categorical) that aren't in the equation.
Is meta inappropriate for these purposes? If so, based on the above
code, how would I add variables to the equation?
Perhaps I should use lme weighting on sample size?
Thoughts appreciated
Thanks S.
PS
> version
_
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 2
minor 2.1
year 2005
month 12
day 20
svn rev 36812
language R
>
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