# \donttest{
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", common = 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
#
forest(nb1,
col.subgroup = "black", addrow.subgroups = FALSE,
fontsize = 10, spacing = 0.7, squaresize = 0.9,
label.left = "Favours Placebo",
label.right = "Favours other")
# Also show results for common effects model
#
print(nb1, common = TRUE)
# }
Run the code above in your browser using DataLab