netmeta (version 2.9-0)

Franchini2012: Network meta-analysis of treatments for Parkinson's disease

Description

Network meta-analysis comparing the effects of a number of treatments for Parkinson's disease.

The data are the mean lost work-time reduction in patients given dopamine agonists as adjunct therapy in Parkinson’s disease (Franchini et al. 2012). The data are given as sample size, mean and standard deviation in each trial arm. Treatments are placebo and four active drugs. These data are used as an example in the supplemental material of Dias et al. (2013) where placebo is coded as 1 and the four active drugs as 2 to 5.

Format

A data frame with the following columns:

Study	study label
Treatment1	treatment 1
y1	treatment effect arm 1
sd1	Standard deviation arm 1
n1	Sample size arm 1
Treatment2	treatment 2
y2	treatment effect arm 2
sd2	Standard deviation arm 2
n2	Sample size arm 2
Treatment3	treatment 3
y3	treatment effect arm 3
sd3	Standard deviation arm 3
n3	Sample size arm 3

See Also

pairwise, metacont, netmeta, netgraph.netmeta

Examples

data(Franchini2012)

# Transform data from arm-based format to contrast-based format
#
p1 <- pairwise(list(Treatment1, Treatment2, Treatment3),
  n = list(n1, n2, n3),
  mean = list(y1, y2, y3), sd = list(sd1, sd2, sd3),
  data = Franchini2012, studlab = Study)
p1

# Conduct network meta-analysis
net1 <- netmeta(p1)
net1

# Draw network graphs
netgraph(net1, points = TRUE, cex.points = 3, cex = 1.5,
  thickness = "se.common")
netgraph(net1, points = TRUE, cex.points = 3, cex = 1.5,
  thickness = "se.common",
  iterate = TRUE, plastic = TRUE)
netgraph(net1, points = TRUE, cex.points = 3, cex = 1.5,
  thickness = "se.common",
  iterate = TRUE, plastic = TRUE, start = "eigen")