Woods2010: Count statistics of survival data

In guido-s/netmeta: Network Meta-Analysis using Frequentist Methods

Count statistics of survival data

Description

Count mortality statistics in randomised controlled trials of treatments for chronic obstructive pulmonary disease (Woods et al. (2010), Table 1).

Format

A data frame with the following columns:

author	first author / study name
treatment	treatment
r	number of deaths in treatment arm
N	number of patients in treatment arm

Source

Woods BS, Hawkins N, Scott DA (2010): Network meta-analysis on the log-hazard scale, combining count and hazard ratio statistics accounting for multi-arm trials: A tutorial. BMC Medical Research Methodology, 10, 54

See Also

pairwise, metabin, netmeta

Examples

data(Woods2010)

# Transform data from long arm-based format to contrast-based
# format Argument 'sm' has to be used for odds ratio as summary
# measure; by default the risk ratio is used in the metabin
# function called internally.
#
p1 <- pairwise(treatment, event = r, n = N,
  studlab = author, data = Woods2010, sm = "OR")
p1

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

## Not run: 
# Show forest plot
#
forest(net1, ref = "Placebo", drop = TRUE,
  leftlabs = "Contrast to Placebo")

## End(Not run)

guido-s/netmeta documentation built on April 8, 2024, 5:31 a.m.