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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