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...ng the metafor package (version 1.6-0) in R (2.15.1, 64-bit Windows 7) and noticed that I was getting slightly different values when I manually calculated the standardized mean difference versus what escalc was giving me. Here''s a very simple example: escalc(measure="SMD", m1i=5,m2i=10,n1i=5,n2i=5,sd1i=1,sd2i=2,vtype="LS") The result is: yi vi 1 -2.854599 0.8074367 However, if I calculate this manually using the pooled standard deviation formula given in Cooper et al (2009)*, I get an SMD of -2.85625 and a variance of 0.870205. The formula give...

...dom effect, the numbers are considerably different. Unfortunately, I could not find where I made it wrong. I would be grateful if someone would have a look at my calculations. Here are the meta-analysis commands: ### USING METAFOR library(metafor) ( dat<-escalc(m1i=m1i, sd1i=sd1i, n1i=n1i, m2i=m2i, sd2i=sd2i, n2i=n2i, measure="SMD", data=metaData, append=T) ) # COMPUTE EFFECT SIZE ( res<-rma.uni(yi,vi,data=dat,method="HE", level=95) ) ### RANDOM EFFECT ( res<-rma.uni(yi,vi,data=dat,method="FE", level=95) ) ### FIXED EFFECT ### USING META ( res<-...

?Dear All I have some data expressed in geometric means and 95% confidence intervals. Can I code them in metafor as: rma(m1i=geometric mean 1, m2i=geometric mean 2, sd1i=geometric mean 1 CI /3.92, sd2i=geometric mean 2 CI/3.92.......etc, measure="MD") All of the studies use geometric means. Thanks! Edward ---------------------------- [[alternative HTML version deleted]]

...y = true uid = root gid = wheel CLIENT COMMAND LINE: /usr/local/bin/rsync -aREHx --inplace --links --ignore-errors --delete --delete-excluded --delete-during --exclude-from - --stats --progress /data/d2/comictrax.net/./ m3i::d1/comictrax.net SERVER LOG: 2008/03/11 16:48:08 [16408] connect from m2i.npubs.com (10.2.4.2) 2008/03/11 16:48:08 [16408] No match for refuse-options string "iconv" 2008/03/11 16:48:08 [16408] rsync to d1/comictrax.net from m2i.npubs.com (10.2.4 .2) 2008/03/11 16:48:08 [16408] receiving file list -- Configure bugmail: https://bugzilla.samba.org/userprefs.cg...

Hi, I have been looking for an R package which allowed to do meta-analysis (both pairwise and network/mixed-treatment) at arm-level rather than at trial-level, the latter being the common way in which meta-analysis is done. By arm-level meta-analysis I mean one that accounts for data provided at the level of the individual arms of each trial and that does not simply derive the difference between

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking