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

In meta: General Package for Meta-Analysis

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 'cdir'
trimfill(x, comp.no, outcome.no, ...)

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

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

Arguments

x	An object of class rm5, trimfill.rm5, cdir or trimfill.cdir.
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 of intervention studies (Higgins et al., 2023).

The R function metacr is called internally.

Author(s)

Guido Schwarzer [e-mail]

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 (updated August 2023). Available from https://www.training.cochrane.org/handbook/

See Also

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

# 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 Oct. 31, 2024, 5:07 p.m.