meta: metabias.rm5 – R documentation

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metabias.rm5

Cochrane review: Test for funnel plot asymmetry

Description

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

Usage

## S3 method for class 'rm5'
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`.
`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)

Details

This function can be used to conduct a test for funnel plot asymmetry for all or selected meta-analyses in a Cochrane Review.

Review Manager 5 (RevMan 5) is the current software used for preparing and maintaining Cochrane Reviews (https://training.cochrane.org/online-learning/core-software-cochrane-reviews/revman). In RevMan 5, subgroup analyses can be defined and data from a Cochrane review can be imported to R using the function read.rm5.

The R function metacr is called internally.

Author(s)

Guido Schwarzer sc@imbi.uni-freiburg.de

References

Higgins, J.P.T and S. Green (2011): Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [Updated March 2011]. The Cochrane Library: http://www.cochrane-handbook.org/

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)