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meta (version 3.0-1)

print.rm5: Print and summary methods for objects of class rm5

Description

Print and summary methods for objects of class rm5.

Usage

## S3 method for class 'rm5':
print(x, ...)

## S3 method for class 'summary.rm5': print(x, ...)

## S3 method for class 'rm5': summary(object, comp.no, outcome.no, ...)

## 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.
object
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.
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.
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"<
k.min
Minimum number of studies to perform test for small-study effects.
...
Additional arguments (ignored at the moment)

Details

Review Manager 5 (RevMan 5) is the current software used for preparing and maintaining Cochrane Reviews (http://www.cc-ims.net/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 summary.rm5 can be used to redo all meta-analyses of the imported Cochrane Review.

The R function metabias.rm5 can be used to conduct a test for funnel plot asymmetry for all meta-analyses of the imported Cochrane Review.

The R function metacr is called internally.

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

See Also

metabias.meta, summary.meta, read.rm5

Examples

Run this code
## Locate export data file "Fleiss93_CR.csv"
## in sub-directory of package "meta"
##
filename <- system.file("data/Fleiss93_CR.csv.gz", package = "meta")
##
Fleiss93_CR <- read.rm5(filename)

##
## Print summary results for all meta-analysis:
##
summary(Fleiss93_CR)

##
## Print results for tests of small-study effects:
##
metabias(Fleiss93_CR, k.min=5)

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