print.summary.limitmeta: Print detailed results for limit meta-analysis

In guido-s/metasens: Statistical Methods for Sensitivity Analysis in Meta-Analysis

Print detailed results for limit meta-analysis

Description

Print method for objects of class summary.limitmeta.

This function prints the main results of a limit meta-analysis (Rücker et al., 2011) as well as the following study information:

• Effect estimate with confidence interval

• Shrunken effect estimates with confidence interval

Usage

## S3 method for class 'summary.limitmeta'
print(
  x,
  sortvar,
  backtransf = x$backtransf,
  digits = gs("digits"),
  big.mark = gs("big.mark"),
  truncate,
  text.truncate = "*** Output truncated ***",
  ...
)

Arguments

x	An object of class summary.limitmeta
sortvar	An optional vector used to sort the individual studies (must be of same length as x$TE).
backtransf	A logical indicating whether results should be back transformed in printouts and plots. If backtransf=TRUE (default), results for sm="OR" are printed as odds ratios rather than log odds ratio, for example.
digits	Minimal number of significant digits, see print.default.
big.mark	A character used as thousands separator.
truncate	An optional vector used to truncate the printout of results for individual studies (must be a logical vector of same length as x$TE or contain numerical values).
text.truncate	A character string printed if study results were truncated from the printout.
...	Additional arguments which are passed on to print.limitmeta called internally.

Author(s)

Guido Schwarzer [e-mail]

See Also

limitmeta, summary.limitmeta

Examples

data(Moore1998)
m1 <- metabin(succ.e, nobs.e, succ.c, nobs.c,
  data = Moore1998, sm = "OR", method = "Inverse")

print(summary(limitmeta(m1)), digits = 2)

guido-s/metasens documentation built on April 5, 2023, 2:30 p.m.