netmeta (version 0.9-5)

Senn2013: Network meta-analysis in diabetes

Description

Network meta-analysis in diabetes comparing effects of a number of drugs on the HbA1c value.

These data are used as an example in Senn et al. (2013) and have been preprocessed for use in R package netmeta.

Usage

data(Senn2013)

Format

A data frame with the following columns:

TE

Treatment effect

seTE

Standard error of treatment effect

treat1

Treatment 1

treat2

Treatment 2

studlab

Study label

Details

Treatment labels have been abbreviated:

• acar = Acarbose

• benf = Benfluorex

• metf = Metformin

• migl = Miglitol

• piog = Pioglitazone

• plac = Placebo

• rosi = Rosiglitazone

• sita = Sitagliptin

• sulf = Sulfonylurea

• vild = Vildagliptin

See Also

netmeta

Examples

# NOT RUN {
data(Senn2013)

#
# Fixed effect model (default)
#
net1 <- netmeta(TE, seTE, treat1, treat2, studlab, data=Senn2013)
net1
net1$Q.decomp

#
# Forest plot
#
forest(net1, ref="plac")

# }
# NOT RUN {
#
# Comparison with reference group
#
netmeta(TE, seTE, treat1, treat2, studlab, data=Senn2013, 
        reference="plac")

#
# Random effects model
#
net2 <- netmeta(TE, seTE, treat1, treat2, studlab, data=Senn2013,
                comb.random = TRUE)
net2
forest(net2, ref="plac")
# }