netmeta (version 2.9-0)

Linde2016: 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.

Arguments

Format

A data frame with the following columns:

idStudy ID
authorFirst author
yearYear of publication
treat1First treatment (abbreviated)
treat2Second treatment (abbreviated)
treat1.longFirst treatment
treat2.longSecond treatment
lnORResponse after treatment (log odds ratio)
selnORStandard error of log odds ratio
resp1Responder (first treatment)
n1Sample size (first treatment)
resp2Responder (second treatment)
n2Sample size (second treatment)

See Also

netmeta, netcomb

Examples

Run this code
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

if (FALSE) {
# 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
}

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