### load data
data(dat.hine1989)
### calculate risk differences and corresponding sampling variances
dat <- escalc(measure="RD", n1i=n1i, n2i=n2i, ai=ai, ci=ci, data=dat.hine1989)
dat
### meta-analysis of risk differences using a random-effects model
res <- rma(yi, vi, data=dat)
res
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