R: Print detailed results of Copas selection model

print.summary.copas {metasens}

R Documentation

Print detailed results of Copas selection model

Description

Print method for objects of class summary.copas.

This function prints the following information:

Range of gamma0 values used (see help(copas));

Range of gamma1 values used (see help(copas));

Largest SE of all studies in meta-analysis;

Range of probability publishing trial with largest SE;

The next table gives details relating to the summary of the contour plot. Specifically, it gives details from fitting a straight line to each treatment-contour in the contour plot. Column 1 (headed level) shows the treatment-contours; column 2 (nobs) shows the number of observations used by the contour plot command within the copas function to plot this contour line; column 3 (adj.r.square) shows the adjusted r-square from fitting a straight line to this contour; columns 4 & 5 show the slope and its standard error from fitting a straight line to this contour.

Next, the printout of summary.copas is shown.

Usage

## S3 method for class 'summary.copas'
print(
  x,
  backtransf = x$backtransf,
  legend = TRUE,
  digits = gs("digits"),
  digits.se = gs("digits.se"),
  ...
)

Arguments

`x`	An object of class `summary.copas`.
`backtransf`	A logical indicating whether results should be back transformed in printouts and plots. If `backtransf = TRUE` (default), results are printed as odds ratios rather than log odds ratio, for example.
`legend`	A logical indicating whether a legend should be printed.
`digits`	Minimal number of significant digits, see `print.default`.
`digits.se`	Minimal number of significant digits for standard deviations and standard errors, see `print.default`.
`...`	Additional arguments (passed on to `print.copas`).

Author(s)

James Carpenter James.Carpenter@lshtm.ac.uk, Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de

Examples

data(Fleiss1993bin, package = "meta")

# Perform meta analysis, effect measure is odds ratio (OR)
#
m1 <- metabin(d.asp, n.asp, d.plac, n.plac, data=Fleiss1993bin, sm="OR")

# Print summary of Copas analysis
#
summary(copas(m1), level = 0.95)