netmeta (version 0.9-0)

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

Source

Senn S, Gavini F, Magrez D, and Scheen A (2013). Issues in performing a network meta-analysis. Statistical Methods in Medical Research, 22(2), 169--189. First published online 2012 Jan 3.

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

data(Senn2013)

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


#
# Comparison with reference group
#
netmeta(TE, seTE, treat1, treat2, studlab, data=Senn2013, 
        reference="plac")

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

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