metasens: Advanced statistical methods to model and adjust for bias in meta-analysis

Advanced statistical methods to model and adjust for bias in meta-analysis. More standard methods, i.e. tests for bias in meta-analysis and the trim-and-fill method are provided in R package meta. Main purpose of these methods is to evaluate how sensitive the result of a meta-analysis is to potential bias in meta-analysis. The following methods are available: - Copas selection model; - limit meta-analysis; - upper bound for outcome reporting bias.

Version: 0.1-0
Depends: meta (≥ 0.8)
Published: 2014-06-24
Author: Guido Schwarzer [aut, cre], James Carpenter [aut], Gerta Rücker [aut]
Maintainer: Guido Schwarzer <sc at imbi.uni-freiburg.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: ClinicalTrials, MetaAnalysis
CRAN checks: metasens results

Downloads:

Reference manual: metasens.pdf
Package source: metasens_0.1-0.tar.gz
Windows binaries: r-devel: metasens_0.1-0.zip, r-release: metasens_0.1-0.zip, r-oldrel: metasens_0.1-0.zip
OS X Snow Leopard binaries: r-release: metasens_0.1-0.tgz, r-oldrel: metasens_0.1-0.tgz
OS X Mavericks binaries: r-release: metasens_0.1-0.tgz