# NOT RUN {
data(Linde2016)
# Only consider studies including Face-to-face PST (to reduce
# runtime of example)
#
face <- subset(Linde2016, id %in% c(16, 24, 49, 118))
# Standard random effects NMA model (with placebo as reference
# treatment)
#
net1 <- netmeta(lnOR, selnOR, treat1, treat2, id,
data = face, reference.group = "placebo",
sm = "OR", comb.fixed = FALSE)
# Additive CNMA model with placebo as inactive component and
# reference
#
nc1 <- netcomb(net1, inactive = "placebo")
# Combine results of standard NMA and CNMA
#
nb1 <- netbind(nc1, net1,
name = c("Additive CNMA", "Standard NMA"),
col.study = c("red", "black"),
col.square = c("red", "black"))
nb1
print(nb1, comb.fixed = TRUE)
# }
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