Hi all,
I wanted to implement exact Poisson confidence limits for individual
study results in metarate() for some time. This thread motivated me to
finally do it.
The development version of metarate() on GitHub has a new argument
'method.ci' to specify the type of CI limits: "Poisson" or "NAsm" for
normal approximation
install.packages("remotes")
remotes::install_github("guido-s/meta")
library(meta)
data(dat.nielweise2008, package = "metafor")
m <- metarate(x1i, t1i, data = dat.nielweise2008,
? studlab = paste0(authors, ", ", year),
? method.ci = "Poisson", irscale = 1000)
print(summary(m), digits = 2)
forest(m)
Best, Guido