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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.

Format

A data frame with the following columns:

id Study ID
lnOR Response after treatment (log odds ratio)
selnOR Standard error of log odds ratio
treat1 First treatment
treat2 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

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", comb.fixed = FALSE,
                nchar = 6)
#
summary(net1)

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

## End(Not run)

netmeta

Network Meta-Analysis using Frequentist Methods

v1.4-0
GPL (>= 2)
Authors
Gerta Rücker [aut] (<https://orcid.org/0000-0002-2192-2560>), Ulrike Krahn [aut], Jochem König [aut] (<https://orcid.org/0000-0003-4683-0360>), Orestis Efthimiou [aut] (<https://orcid.org/0000-0002-0955-7572>), Guido Schwarzer [aut, cre] (<https://orcid.org/0000-0001-6214-9087>)
Initial release
2021-05-11

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