trimfill.rm5: Cochrane review: trim-and-fill method

View source: R/trimfill.rm5.R

trimfill.rm5R Documentation

Cochrane review: trim-and-fill method

Description

Conduct trim-and-fill analysis for all meta-analyses in a Cochrane review.

Usage

## S3 method for class 'rm5'
trimfill(x, comp.no, outcome.no, ...)

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

Arguments

x

An object of class rm5 or trimfill.rm5.

comp.no

Comparison number.

outcome.no

Outcome number.

...

Additional arguments (passed on to metacr).

Details

This function can be used to conduct a trim-and-fill analysis for all or selected meta-analyses in a Cochrane review.

Review Manager 5 (RevMan 5) was the software used for preparing and maintaining Cochrane Reviews (https://training.cochrane.org/online-learning/core-software/revman). 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 guido.schwarzer@uniklinik-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

See Also

summary.meta, metacr, read.rm5, metabias.rm5

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)

# Conduct trim-and-fill analysis
#
trimfill(Fleiss1993_CR)

# Conduct trim-and-fill analysis only for second outcome of first
# comparison
#
trimfill(Fleiss1993_CR, comp.no = 1, outcome.no = 2)


meta documentation built on June 7, 2023, 5:08 p.m.