Hello, I am currently conducting a meta-analysis for which I have already calculated SMDs with corresponding standard error/95% CIs. Rather than redoing the calculations, I was wondering if the meta package for R allows me to use SMDs and CIs as input to run a meta-analysis. I have gone through the documentation and it seems like I cannot, but I would love to know about any other possibilities. The goal is to run a limit meta-analysis using the limitmeta function from the metasens package. Since this function takes an object of class 'meta' as an argument, I need to use a function that actually outputs such an object. Any help is very much appreciated. Thank you in advance! Best, Ben Glaser
[R-meta] Using meta package when SMDs and SEs/95% CIs are already known
3 messages · Bernt Damian Glaser, Tobias Saueressig, Guido Schwarzer
An HTML attachment was scrubbed... URL: <https://stat.ethz.ch/pipermail/r-sig-meta-analysis/attachments/20230621/c0bc81bb/attachment.html>
I should have read this reply first before posting my answer. ;-) It is also possible to provide study data with information on SEs or confidence limits, i.e., metagen(mySMD, myseSMD, lower = lowerSMD, upper = upperSMD, sm = "SMD") The standard error is only calculated from the lower and upper limits if the standard error of a study is missing. Best, Guido