trimfill.rm5 {meta}

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. Available from https://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)