View source: R/summary.copas.R
| summary.copas | R Documentation | 
Summary method for objects of class copas.
## S3 method for class 'copas'
summary(object, ...)
object | 
 An object of class   | 
... | 
 other arguments to the function will be ignored (this option included only to conform with R standards)  | 
This function complements the graphical summary of the results of a
Copas selection model, generated using plot.copas.
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 Approximate number of studies the model suggests remain unpublished  | 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suggests remain unpublished for adjusted effect given in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.  | 
James Carpenter James.Carpenter@lshtm.ac.uk, Guido Schwarzer guido.schwarzer@uniklinik-freiburg.de
copas, plot.copas,
metabias, metagen
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))
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