I am currently
doing a meta-analysis of studies that look at the effects of protein intake
on body composition. I want to set up a 2-level model that models the
within and between study variation, as outlined in Joop Hox's chapters on
meta-analysis in his books. I've seen examples for HLM and SAS on
the web, but these are not the pieces of software that I use. In an
attempt to learn how to do a meta-analysis with the GUI interface of S-plus
(I'm also trying it with GenStat..I've cross-posted this problem to the GENSTAT
list so I hope that doesn't bother anyone), I've tried to adapt the following
SAS code (for a meta-analysis of teacher expectancy effects by
Raudenbush):
Data meta; Infile
'c:\meta.txt'; Input effect sd week studyID;
Invsd=1/(sd); Run;
Proc mixed covtest
data=""> Class studyID; Weight
invsd; Model effect = week /s; Random int
/type=un sub=studyID; Parms (0.1) (1)/hold=(2);
Run;
I've been trying to do something similar in both S-Plus 6.2 and
GENSTAT 7.0 without success.
Anyone who might be able to help me with
how to set up a multilevel meta- analysis with S-Plus 6.2, it would be
tremendously appreciated.
Thank you for your
time,
|
|