dietaryfat: Network meta-analysis of dietary fat

In netmeta: Network Meta-Analysis using Frequentist Methods

Network meta-analysis of dietary fat

Description

Network meta-analysis comparing the effects of two diets to control on mortality.

The data are rates, given as the number of deaths and person-years. These data are used as an example in the supplemental material of Dias et al. (2013).

Format

A data frame with the following columns:

treat1	treatment 1
treat2	treatment 2
treat3	treatment 3
years1	person years arm 1
years2	person years arm 2
years3	person years arm 3
d1	events (deaths) arm 1
d2	events (deaths) arm 2
d3	events (deaths) arm 3
ID	study ID

Source

Dias S, Sutton AJ, Ades AE and Welton NJ (2013): Evidence synthesis for decision making 2: A generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials. Medical Decision Making, 33, 607–17

See Also

pairwise, metainc, netmeta, netgraph.netmeta

Examples

data(dietaryfat)

# Transform data from arm-based format to contrast-based format
# Using incidence rate ratios (sm = "IRR") as effect measure.
# Note, the argument 'sm' is not necessary as this is the default
# in R function metainc() called internally
#
p1 <- pairwise(list(treat1, treat2, treat3),
  list(d1, d2, d3), time = list(years1, years2, years3),
  studlab = ID, data = dietaryfat, sm = "IRR")
p1

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

# Conduct network meta-analysis using incidence rate differences
# (sm = "IRD")
#
p2 <- pairwise(list(treat1, treat2, treat3),
  list(d1, d2, d3), time = list(years1, years2, years3),
  studlab = ID, data = dietaryfat, sm = "IRD")
net2 <- netmeta(p2)
net2

# Draw network graph
#
netgraph(net1, points = TRUE, cex.points = 3, cex = 1.25)

netgraph(net1, points = TRUE, cex.points = 3, cex = 1.25,
  labels = c("Control","Diet", "Diet 2"))

netmeta documentation built on May 31, 2023, 5:45 p.m.