meta (version 7.0-0)

metabias.rm5: Cochrane review: Test for funnel plot asymmetry

Description

Conduct a test for funnel plot asymmetry for all outcomes in a Cochrane review of intervention studies

Usage

# S3 method for rm5
metabias(
  x,
  comp.no,
  outcome.no,
  method.bias = "linreg",
  method.bias.binary = method.bias,
  method.bias.or = "score",
  k.min = 10,
  ...
)
# S3 method for cdir
metabias(
  x,
  comp.no,
  outcome.no,
  method.bias = "linreg",
  method.bias.binary = method.bias,
  method.bias.or = "score",
  k.min = 10,
  ...
)

Arguments

x

An object of class rm5 or cdir.

comp.no

Comparison number.

outcome.no

Outcome number.

method.bias

A character string indicating which test for small-study effects is to be used for all outcomes. Either "rank", "linreg", or "mm", can be abbreviated. See function metabias

method.bias.binary

A character string indicating which test is to be used for binary outcomes. Either "rank", "linreg", "mm", "count", "score", or "peters", can be abbreviated. See function metabias

method.bias.or

A character string indicating which test is to be used for binary outcomes with odds ratio as summary measure. Either "rank", "linreg", "mm", "count", "score", or "peters", can be abbreviated. See function metabias

k.min

Minimum number of studies to perform test for small-study effects.

...

Additional arguments (ignored at the moment)

Author

Guido Schwarzer

Details

This function can be used to conduct a test for funnel plot asymmetry for all or selected meta-analyses in a Cochrane review of intervention studies (Higgins et al, 2023).

The R function metacr is called internally.

References

Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors) (2023): Cochrane Handbook for Systematic Reviews of Interventions Version 6.4. Available from https://training.cochrane.org/handbook

See Also

metabias, metacr, read.rm5, read.cdir, summary.rm5, summary.cdir

Examples

# Locate export data file "Fleiss1993_CR.csv" in sub-directory of
# package "meta"
#
filename <- system.file("extdata", "Fleiss1993_CR.csv", package = "meta")
Fleiss1993_CR <- read.rm5(filename)

# Print results for all tests of small-study effects
#
metabias(Fleiss1993_CR, k.min = 5)

# Print result of test of small-study effects for second outcome in
# first comparison
#
metabias(Fleiss1993_CR, comp.no = 1, outcome.no = 2, k.min = 5)