Linde2016: Network meta-analysis of primary care depression treatments

In netmeta: Network Meta-Analysis using Frequentist Methods

Network meta-analysis of primary care depression treatments

Description

Network meta-analysis of 22 treatments (including placebo and usual care) for the primary care of depression.

Format

A data frame with the following columns:

id	Study ID
author	First author
year	Year of publication
treat1	First treatment (abbreviated)
treat2	Second treatment (abbreviated)
treat1.long	First treatment
treat2.long	Second treatment
lnOR	Response after treatment (log odds ratio)
selnOR	Standard error of log odds ratio
resp1	Responder (first treatment)
n1	Sample size (first treatment)
resp2	Responder (second treatment)
n2	Sample size (second treatment)

Source

Linde K, Rücker G, Schneider A et al. (2016): Questionable assumptions hampered interpretation of a network meta-analysis of primary care depression treatments. Journal of Clinical Epidemiology, 71, 86–96

See Also

netmeta, netcomb

Examples

data(Linde2016)

# Only consider studies including Face-to-face PST (to reduce
# runtime of example)
#
face <- subset(Linde2016, id %in% c(16, 24, 49, 118))

# Conduct random effects network meta-analysis
#
net1 <- netmeta(lnOR, selnOR, treat1, treat2, id,
  data = face, reference.group = "placebo",
  sm = "OR", common = FALSE, nchar.trts = 6)
#
net1

## Not run: 
# Conduct random effects network meta-analysis
#
net2 <- netmeta(lnOR, selnOR, treat1, treat2, id,
  data = Linde2016, reference.group = "placebo",
  sm = "OR", common = FALSE, nchar.trts = 6)
#
net2

## End(Not run)

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