dietaryfat

0th

Percentile

Network meta-analysis of dietary fat

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 S, Sutton AJ, Ades AE and Welton NJ (2013).

Keywords
datasets
Usage
data(dietaryfat)
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

See Also

pairwise, metainc, netmeta, netgraph

Aliases
  • dietaryfat
Examples
# NOT RUN {
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)
summary(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)
summary(net2)

# Draw network graph
netgraph(net1, points=TRUE, cex.points=3, cex=1.25)
tname <- c("Control","Diet", "Diet 2")
netgraph(net1, points=TRUE, cex.points=3, cex=1.25, labels=tname)
# }
Documentation reproduced from package netmeta, version 0.9-5, License: GPL (>= 2)

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