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netmeta (version 0.7-0)

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)

Arguments

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

Run this code
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")

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