Print method for summary of Copas selection model
Print method for objects of class summary.copas.
## S3 method for class 'summary.copas'
print(
x,
backtransf = x$backtransf,
digits = gs("digits"),
digits.pval = max(gs("digits.pval"), 2),
digits.prop = gs("digits.prop"),
scientific.pval = gs("scientific.pval"),
big.mark = gs("big.mark"),
header = TRUE,
...
)x |
An object of class |
backtransf |
A logical indicating whether results should be
back transformed in printouts and plots. If
|
digits |
Minimal number of significant digits, see
|
digits.pval |
Minimal number of significant digits for p-value
of overall treatment effect, see |
digits.prop |
Minimal number of significant digits for
proportions, see |
scientific.pval |
A logical specifying whether p-values should be printed in scientific notation, e.g., 1.2345e-01 instead of 0.12345. |
big.mark |
A character used as thousands separator. |
header |
A logical indicating whether information on title of meta-analysis, comparison and outcome should be printed at the beginning of the printout. |
... |
other arguments to the function will be ignored (this option included only to conform with R standards) |
This function prints a summary of a Copas analysis, performed using
the function copas. It complements the graphical summary of
the results, generated using plot.copas.
Specifically it prints a table where the:
first column corresponds to the x-axis in plots 3 & 4 from
plot.copas;
second column corresponds to the treatment effect displayed in plot 3 from
plot.copas;
third and fourth columns give the confidence intervals for this treatment effect,
fifth colum gives the p-value for an overall treatment effect,
sixth column gives the p-value for residual publication bias (the y-axis of
plot 4 from plot.copas (see help(plot.copas) under plot 4 for a
further explanation of this p-value))
seventh column gives an approximate estimate of the number of studies the model suggests remain unpublished if the probability of publishing the study with the largest SE is as in column 1.
Below this is displayed the results of the Copas analysis for the smallest
degree of selection for which the p-value for evidence of residual selection
bias exceeds sign.rsb (default: 0.1). This is simply extracted from
the corresponding row in the table above.
Lastly, the usual random effects estimate (based on the DerSimonian-Laird method) and 95% confidence interval is printed.
James Carpenter James.Carpenter@lshtm.ac.uk, Guido Schwarzer sc@imbi.uni-freiburg.de
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)
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