| summary.copas {metasens} | R Documentation |
Summary method for Copas selection model
Description
Summary method for objects of class copas.
Usage
## S3 method for class 'copas'
summary(object, ...)
Arguments
object |
An object of class |
... |
other arguments to the function will be ignored (this option included only to conform with R standards) |
Details
This function complements the graphical summary of the results of a
Copas selection model, generated using plot.copas.
Value
An object of class "summary.copas" with corresponding print function. The object is a list containing the following components:
slope |
Results for points on orthogonal line (a list with elements TE, seTE, lower, upper, statistic, p, level). |
publprob |
Vector of probabilities of publishing the smallest study. |
pval.rsb |
P-values for tests on presence of residual selection bias |
N.unpubl |
Approximate number of studies the model suggests remain unpublished |
adjust |
Result of Copas selection model adjusted for selection bias (a list with elements TE, seTE, lower, upper, statistic, p, level). |
sign.rsb |
The significance level for the test of residual selection bias. |
pval.rsb.adj |
P-value for test on presence of residual
selection bias for adjusted effect given in |
N.unpubl.adj |
Approximate number of studies the model
suggests remain unpublished for adjusted effect given in
|
random |
Results for usual random effects model (a list with elements TE, seTE, lower, upper, statistic, p, level). |
sm |
A character string indicating underlying summary measure. |
ci.lab |
Label for confidence interval. |
title |
Title of meta-analysis / systematic review. |
complab |
Comparison label. |
outclab |
Outcome label. |
version |
Version of R package metasens used to create object. |
Author(s)
James Carpenter James.Carpenter@lshtm.ac.uk, Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
See Also
copas, plot.copas,
metabias, metagen
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.ma = 0.95))