> > > I am trying to explore the citation bias by perfroming meta-analysis. I need > to plot a forest plot > on some other proportions other than the usual effect > size OR,RR, RD. >
For meta-analsysis, it does not matter what the effect size is (usually). One calculates the effect size, and one calculates the standard error of that effect size. The effect size and standard error are then fed into the meta-analysis procedure. You tell us what you don't want to do , but you don't tell us what you want to do. However, if you can calculate the statistic, you can use it. I like the metafor package, which uses escalc() to calculate effect sizes (although you can get your effect sizes from anywhere) and then rma() to meta-analyze them. It will do things like forest plots. > I still do not have any idea after searching google and reading relevant > books. Can anyone > kindly help? Thank you in advance. > We can try, but tell us what you want to do. Jeremy -- Jeremy Miles Psychology Research Methods Wiki: www.researchmethodsinpsychology.com ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
