Linde2016: Network meta-analysis of primary care depression treatments

Linde2016R Documentation

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 June 23, 2024, 9:06 a.m.