# NOT RUN {
### load data
dat <- get(data(dat.laopaiboon2015))
### analysis using the Mantel-Haenszel method
rma.mh(measure="RR", ai=ai, n1i=n1i, ci=ci, n2i=n2i, data=dat, digits=3)
### calculate log risk ratios and corresponding sampling variances
dat <- escalc(measure="RR", ai=ai, n1i=n1i, ci=ci, n2i=n2i, data=dat)
### random-effects model
res <- rma(yi, vi, data=dat)
res
### average risk ratio with 95% CI
predict(res, transf=exp)
# }
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