summary.copas: Summary method for Copas selection model

In metasens: Statistical Methods for Sensitivity Analysis in Meta-Analysis

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 copas.
...	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N.unpubl	Approximate number of studies the model suggests remain unpublished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 adjust.
N.unpubl.adj	Approximate number of studies the model suggests remain unpublished for adjusted effect given in adjust
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 [e-mail], Guido Schwarzer [e-mail]

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))

metasens documentation built on March 7, 2023, 7:51 p.m.